Software Engineer, Edge

🏢 Summary: Hybrid customer-facing manufacturing technology role focused on implementing and supporting AI-native frontline operations solutions for enterprise manufacturing environments. The position involves solution architecture, OT/IT integration, project delivery, and technical support while partnering with customers to improve operational efficiency and digital transformation initiatives. 🗂️ Requirements: 3-5+ years in manufacturing, operations technology, or related field, Customer-facing project leadership experience, Experience with MES, ERP, or similar OT systems, System and device integration experience in manufacturing, Lean Manufacturing or continuous improvement experience, Project management and enterprise engagement experience, Strong written and verbal communication skills, Ability to travel up to 25% within North America, BS in Engineering or similar field 📃 Skills: MES, ERP, OT, IT, Engineering, Manufacturing, Integration, Lean, AI 🏢 Description: This role is located in Somerville, MA - We are a hybrid work environment and are in the office 3+ days/per week. Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category. About You You've seen the challenges of day-to-day manufacturing operations firsthand — the inefficiencies, the untapped potential, and everything in between. You believe technology should make people's jobs better, not harder, and you're energized by the challenge of making that happen. You're humble, curious, and just as comfortable presenting to a C-suite executive as you are walking a production line. You thrive in fast-moving environments, take ownership of what you build, and genuinely care about the customers you work with. What skills or experience do I need? - 3-5+ years of experience in manufacturing, operations technology, or a related field, with demonstrated customer-facing project leadership - Experienced in Operations Technology, including MES, ERP, or similar systems; architecting and implementation experience is a strong plus - Experienced in system and device integration in the manufacturing industry - Proven track record leading Lean Manufacturing or continuous improvement initiatives; ability to walk a shop floor and identify opportunities - Strong project management, organization, and communication skills — written and verbal — with experience managing enterprise-level engagements - 25% travel expected within North America - BS in Engineering or similar field Key Responsibilities - Partner with customers to deeply understand their operational challenges, goals, and success criteria — supporting solution architecture for their specific processes - Work side-by-side with customers and partners to develop, configure, and implement Tulip solutions - Support delivery of enterprise-level customer projects from kickoff through delivery, ensuring on-time, high-quality outcomes - Build and maintain trusted relationships across customer organizations, from the shop floor to the C-suite - Provide ongoing technical support to customers, diagnosing issues and driving resolution with urgency and care - Leverage knowledge of OT/IT systems (MES, ERP, device integration) to guide customers through complex implementation decisions - Serve as a consistent voice of the customer internally — surfacing insights, patterns, and feedback to Product and Engineering teams - Contribute to the development and improvement of internal processes, playbooks, and delivery frameworks Key Collaborators - Account Executives - Customer Success Managers - PreSales Engineering - Product Management & Engineering - Professional Services Team Working At Tulip We know even great candidates experience imposter syndrome. Even if you don't match every requirement, applying gives you the opportunity to be considered. We're building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include: - Direct impact on product and culture - Company equity - Competitive benefits package including Health, Dental, Vision, Short-term Disability, Long-term Disability, Life Insurance, AD&D, FSA, Commuter Benefits, Parental Leave, and 401(K) - Flexible work schedule and unlimited vacation policy - Virtual company events and happy hours - Fitness subsidies - Dog-friendly office We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range posted, actual compensation will be determined depending on multiple factors including job-related knowledge & skills, experience, business needs, geographical location, market compensation data, and internal equity. Expected compensation ranges for this role may change over time. The salary range for this position is $90,000 - $130,000 per year. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Backend engineering role focused on building scalable Python services and APIs for an AI platform used by enterprise customers. The position involves developing production backend systems, integrating AI components, and improving reliability in a collaborative engineering environment. Offers modern AI tooling, cloud-native development exposure, and growth opportunities within an AI-focused product team. 🗂️ Requirements: 2–5 years of backend application development experience, Python, REST APIs, Backend services, SQL, PostgreSQL, Asynchronous programming, Background job processing, AWS, Azure, GCP, Testing, Version control, AI development tools, English B2 📃 Skills: Python, FastAPI, Django, PostgreSQL, SQL, AWS, Azure, GCP, Docker, Redis, RabbitMQ, Kafka, TypeScript, REST, Git, CI/CD, ChatGPT, Copilot, Codex, Claude 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with real business tasks. We solve this problem by building a platform that helps AI understand business rules, workflows, and processes. This enables AI to make better decisions and provide accurate, reliable, and trustworthy results. Our technology is used by leading companies across multiple industries to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just seconds. We work with leading technology partners and have been recognized for our innovative approach. Our mission is to help people everywhere get better answers through AI. About the Role We are looking for a Mid Backend Engineer to help build scalable backend services that power our AI platform. You'll work closely with experienced backend engineers, frontend developers, product managers, and platform engineers to develop new features, improve existing systems, and deliver reliable production software. This is a great opportunity to work on modern AI infrastructure while growing your technical skills in a collaborative engineering environment. Responsibilities - Build and maintain backend services, APIs, and background processing systems. - Develop scalable application logic using Python. - Collaborate with product managers and engineers to deliver new product features. - Integrate backend services with databases, external APIs, and AI components. - Monitor, troubleshoot, and improve production services. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Improve development workflows using AI tools and automation. - Continuously learn from production feedback and contribute to improving system reliability and performance. Requirements - 2–5 years of experience building production backend applications. - Good knowledge of Python. - Experience building REST APIs and backend services. - Understanding of relational databases (PostgreSQL or similar) and SQL. - Familiarity with asynchronous programming and background job processing. - Basic understanding of cloud platforms such as AWS, Azure, or GCP. - Understanding of software engineering best practices, testing, and version control. - Good communication skills and willingness to collaborate across engineering and product teams. - Experience using AI development tools such as GitHub Copilot, Claude Code, ChatGPT, or similar. - English at B2 level or higher. Nice to Have - Experience with FastAPI, Django, or similar Python frameworks. - Experience working with Docker and CI/CD pipelines. - Familiarity with Redis, RabbitMQ, Kafka, or similar messaging technologies. - Experience building AI-powered applications or integrating LLM APIs. - Basic knowledge of TypeScript or frontend development. - Interest in distributed systems and cloud-native architectures. What We Offer - 20,000–24,000 PLN B2B (depending on experience). - Company stock options. - MacBook Pro. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on production AI systems used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - Career growth alongside experienced engineers in a fast-growing AI company. Our Culture and Values - Quality - We build reliable software with attention to detail and long-term maintainability. - Momentum - We move quickly, learn continuously, and improve through iteration. - Accountability - We take responsibility for our work and communicate openly. - Hard Work - We solve ambitious problems together and support each other along the way. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We collaborate, share knowledge, and succeed as one team.

🏢 Summary: Technical pre-sales role owning discovery, demos, and end-to-end POCs for a data lineage and migration impact-analysis platform serving regulated enterprises. You will map complex data estates, quantify migration blast radius, address technical objections, and translate customer risk into actionable scope for delivery. This is a 0–1 environment where the SE-led POC is the primary driver of winning deals. 🗂️ Requirements: 3+ years technical pre-sales or solutions engineering experience, 5+ years experience across modern and legacy data stacks, Hands-on ability to lead and execute end-to-end POCs, Experience selling data or platform software to enterprise or regulated buyers, Fluency with ETL/ELT, data warehouses, lakehouses, BI, lineage, and governance tools, Proficiency using AI tools to enhance productivity and sales execution, Ability to engage both technical teams and senior business stakeholders, Authorization to work in the U.S. without sponsorship, Residence in an eligible U.S. state 📃 Skills: ETL, ELT, Talend, Informatica, DataStage, Snowflake, Databricks, Teradata, dbt, BI, DataLineage, DataGovernance, Azure, AWS, AI 🏢 Description: About FormativGroup FormativGroup helps enterprise organizations modernize, migrate, and govern complex technology environments. As part of that mission, we are building a data lineage and migration impact-analysis platform designed for highly regulated industries including financial services, insurance, healthcare, and government. Our platform helps organizations understand dependencies, identify migration risk, and visualize the downstream impact of change before transformation initiatives begin. We combine software, consulting expertise, and delivery services to help clients modernize with confidence. This is an opportunity to join early and help shape both the product and the go-to-market motion as the platform grows into a standalone business. The Opportunity We are seeking a Data Solutions Engineer / Architect to serve as the technical lead throughout the customer evaluation process. You will partner with prospective clients to understand their data ecosystem, demonstrate the platform's capabilities, lead technical assessments, and guide proof-of-concept engagements that validate business value and technical fit. This is a highly consultative, client-facing role that combines data architecture, solution engineering, and pre-sales experience. What You'll Do Lead technical discovery sessions with data, analytics, architecture, and platform leaders. Assess customer environments and identify data migration risks, dependencies, and lineage challenges. Demonstrate platform capabilities and articulate business value to both technical and executive audiences. Own proof-of-concept (POC) engagements from planning through successful completion. Design solution approaches that address customer modernization, governance, and migration objectives. Respond to technical questions and objections regarding architecture, security, governance, lineage, and platform capabilities. Collaborate closely with FormativGroup delivery teams to ensure a seamless transition from sales to implementation. Provide customer feedback that influences product direction, roadmap priorities, and platform enhancements. What You'll Bring 3+ years of experience in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or a similar client-facing technical role. 5+ years of experience working with modern and legacy data ecosystems. Strong understanding of ETL/ELT technologies such as Informatica, Talend, DataStage, or similar platforms. Experience with modern data platforms including Snowflake, Databricks, Teradata, Microsoft Fabric, Azure, AWS, or related technologies. Knowledge of data governance, metadata management, data lineage, and data modernization initiatives. Ability to lead technical workshops, solution discussions, demonstrations, and proof-of-concept engagements. Strong communication skills with the ability to engage both technical teams and executive stakeholders. Ideal Experience Data Architecture Data Engineering Data Governance Data Migration & Modernization Data Lineage & Metadata Management Enterprise Analytics Platforms Cloud Data Platforms Regulated Industry Environments How You Work You thrive in environments where processes are still being built and improved. You enjoy helping shape products, solutions, and go-to-market motions. You are comfortable operating with ambiguity and helping define the path forward. You approach customer challenges with curiosity, structure, and a problem-solving mindset. AI Fluency We believe AI should enhance productivity, analysis, and customer outcomes. Successful candidates will be comfortable leveraging AI tools to improve research, discovery preparation, solution analysis, demonstrations, documentation, and customer engagement activities. During the interview process, we may ask for examples of how you have successfully incorporated AI into your professional workflow. Nice to Have Experience supporting financial services, insurance, healthcare, or public sector organizations. Background in large-scale data migration or modernization programs. Familiarity with Collibra, Alation, Data Vault, metadata management, or enterprise governance platforms. Knowledge of regulatory frameworks such as BCBS 239, DORA, or similar governance and compliance requirements. Experience with Azure or AWS deployments within customer-controlled environments. Location The location preferred for this remote with 25% travel. Thw ideal candidate will reside in In or near to Austin, TX. US candidates will be considered.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa now or in the future. To be considered for this position, candidates must reside in one of the following U.S. states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, and Washington DC. Candidates residing outside these states are not eligible for consideration currently. We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity. In addition to base pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. Estimated Compensation Range:$150,000—$185,000 USDFormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms. FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #formativgroupcareers #WorkWithUs Click here to view our Privacy Policy

🏢 Summary: Mid Python Engineer role focused on building scalable backend services, REST APIs, and cloud-native solutions in Azure environments for large-scale data-driven products. The position involves working with Python, FastAPI, PostgreSQL, Docker, CI/CD pipelines, and Agentic AI integrations in global enterprise projects. Remote-first work model with opportunities for technical ownership, architecture contributions, and professional growth. 🗂️ Requirements: 2+ years commercial experience as a Python Engineer, Strong proficiency in Python, Experience with FastAPI or comparable async frameworks, Hands-on experience with PostgreSQL, Experience with Docker containerization, Experience deploying applications on Azure, Experience with GitHub Actions or similar CI/CD tooling, Understanding of spec-driven development, Exposure to Agentic AI or LLM-based systems, Clear communication skills in English, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: Python, FastAPI, PostgreSQL, Docker, Azure, GitHub, CI/CD, REST, AI, LLM, MLOps, Terraform, Bicep, Microservices, DevOps 🏢 Description: Why Join Us At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures. Our projects have measurable, real‑world impact - from enhancing customer experiences at scale to empowering data-driven decision-making in high‑visibility global organizations. As we continue to grow, you'll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives. Opportunity Overview As a Mid Python Engineer, you will design and build robust backend services and APIs that power data-driven products used by real users at scale. You'll work on meaningful, complex problems in a cloud-native environment - from architecting reliable API layers to integrating Agentic AI capabilities into production systems. Our clients include Fortune 500 companies, so your work will have real visibility and measurable impact in high-stakes, global organizations. Your Responsibilities Designing and building scalable, production-grade backend services and REST APIs using Python and FastAPI. Owning your work end-to-end - from initial spec and design through deployment and monitoring. Working with PostgreSQL to model, query, and optimize data storage for reliability and performance. Containerizing and deploying services using Docker and Azure Container Apps. Managing cloud infrastructure and integrations across Azure services (Storage, Key Vault, Networking). Building and maintaining CI/CD pipelines with GitHub Actions to support continuous, reliable delivery. Integrating and developing Agentic AI solutions within backend systems. Collaborating closely with engineers, product owners, and stakeholders across disciplines - translating complex requirements into clear technical solutions. Conducting code reviews and contributing to a culture of quality, documentation, and shared ownership. Leveraging AI tools in day-to-day work to enhance productivity and output quality. What We're Looking For 2+ years of experience as a Python Engineer in a commercial environment. Strong proficiency in Python and FastAPI (or comparable async frameworks). Hands-on experience with PostgreSQL - schema design, querying, performance tuning. Solid understanding of containerization with Docker and cloud deployments on Azure (Container Apps, Storage, Key Vault, Networking). Experience with GitHub Actions or similar CI/CD tooling. Familiarity with spec-driven development - ability to work from and contribute to detailed technical specifications. Exposure to Agentic AI concepts or LLM-based systems in a production or near-production context. Strong sense of ownership and reliability - you follow through, communicate proactively, and take responsibility for outcomes. Ability to communicate clearly across disciplines - comfortable working with both technical and non-technical stakeholders. Fluent English communication, able to collaborate effectively across international teams. Nice to Have Experience with microservices or event-driven architecture. Familiarity with infrastructure-as-code tools (e.g. Bicep, Terraform). Knowledge of web application security best practices. Experience with ML pipelines or MLOps tooling. Familiarity with Azure DevOps. Here's why you'll love Cloudfide Benefits: MyBenefit platform / Multisport Enel‑Med private medical care Professional Growth: Annual 2,000 PLN development budget Access to e‑learning platforms Real opportunities to expand responsibility and lead initiatives - most of our Leads come from internal promotions As the company continuously grows, you get real opportunities to expand your responsibilities, explore new areas, and even take ownership of your own initiatives. Work Environment: Long-term cooperation: UZ or B2B (we value stable, lasting relationships) Remote-first, work from anywhere in the world (workation) Flexible hours & strong focus on work-life balance Collaboration with top engineers you can truly learn from Flat structure - every voice counts, and you help shape the company Culture & Integration: Company-wide trips (including international ones) Team integration budgets Open communication and supportive, passionate teams Equal Opportunities CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

🏢 Summary: Tech Lead Manager role focused on leading and mentoring a team of engineers while remaining hands-on (around 50% coding) to build and refine core product functionalities. The position centers on improving UX consistency, performance, and overall product quality within a fast-growing AI platform. It combines technical leadership, full-stack development, and cross-team project ownership. 🗂️ Requirements: 8+ years software engineering experience, 2+ years engineering people management experience, Full-stack development experience, Experience with modern FE framework (React preferred), Experience with serverless technologies (AWS Lambda, EC2), Experience with asynchronous workflows, Experience in cloud environments, Experience with relational databases (PostgreSQL preferred), Strong system design skills, Strong debugging and problem-solving skills, Experience leading cross-functional complex projects, Ability to ship high-quality code in fast-paced environment 📃 Skills: React, JavaScript, TypeScript, AWS, Lambda, EC2, Serverless, PostgreSQL, SQL, Cloud, SystemDesign, Debugging, LLMs, DistributedSystems 🏢 Description: About Kalepa: Commercial insurance is a trillion-dollar industry still run out of Microsoft Outlook. Kalepa is changing that. Kalepa is an AI Underwriting Platform built to deliver Professional-Grade AI in production - helping the world's most important insurers centralize and prioritize submission data, surface critical risk insights, and make faster, more confident decisions. Customers see meaningful improvements to both speed and portfolio quality as soon as they implement Kalepa - so much so that clients call it “truly an underwriter’s dream.” Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. Kalepa is backed by leading VCs like IA Ventures and Inspired Capital. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles: Hustle & Grit - We expect everyone at Kalepa to be excellent at what they do and relentless in pursuing their craft. There are no easy days. Kalepa’s exceptional speed and determination are our biggest differentiators: this is how we win. Customer Focus - We will ruthlessly prioritize the work that drives our clients’ growth, profitability, and efficiency. We are not building things just because they seem cool - we are here to solve our customers’ most strategic problems. Meritocracy - Too many exceptional people are stifled by corporate bureaucracies. At Kalepa, those people excel - and we reward tremendous results with rapid promotions and compensation growth. Transparency - We are honest with each other. We don’t believe in back-office politics and keeping employees in the dark. Transparency allows us to instantly cut to the heart of the matter and figure it out together. Experimentation - For many of the problems we face, no company has ever solved them before. We tackle these by quickly testing, measuring, and iterating to determine the path to success. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena). Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere. About the role: Salary range: $140K – $185K USD* We are looking for an exceptional Tech Lead Manager to lead a team of world-class engineers building core Kalepa functionalities. We are looking for a deeply technical leader with significant experience in full-stack engineering who is excited to be hands-on and a ‘player-coach’. The candidate will be responsible for setting strategy, for leading the team to deliver results consistently, for growing and developing talented engineers, and for cultivating a results-driven high-performance culture. As part of the Core UX team, you will focus on refining existing product functionality to deliver an exceptional user experience. Your work will center on ensuring consistency across the product, maintaining a cohesive look and feel, and implementing performance improvements that directly impact end users. You’ll be paying close attention to the layout, interactions, responsiveness, and visual polish, that collectively give the product a premium, well-crafted feel. This role is ideal for someone who enjoys iterative improvement, cares deeply about quality, and wants to shape the everyday experience of our users. Note : You will spend a lot of the time on the engineering work as this is a hands-on position (around 50% - coding). You'll be right at home if you: Have 8+ years of relevant software engineering experience with at least 2 years of full-time engineering people management experience. Have experience managing complex projects that touch multiple teams and cross-functional partners. Have past success hiring talented engineers at different levels Have the ability to make the tradeoffs required to ship high-quality code while working within the constraints of a fast-growing company. Embody hustle and grit, you're excellent at your craft and relentless in pursuing it. Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop. Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before. Have strong fundamentals in system design, debugging, and problem-solving. You have experience in a modern FE framework, preferably React. Have experience with serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments. Are comfortable with relational databases, ideally PostgreSQL. Bonus: experience with LLMs/generative AI, distributed systems. What you’ll get: Competitive salary (based on experience level). Significant equity options package. 401(k) plan with employer match (regardless of employee contribution) Excellent benefits: 100% covered medical, 100% covered vision and dental for individuals and families, and others Work with an ambitious, smart, global, and fun team to transform a $1T global industry. 20 days of PTO a year Global team offsites (2021 - Playa del Carmen, 2022 - Rome, 2023 - Buenos Aires, 2024 - Lisbon, 2025 - Cartagena) Healthy living/gym stipend. Mobile phone bill stipend. Continuing education credits. * The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.

🏢 Summary: Hands-on Tech Lead Manager role focused on leading and mentoring a team of engineers while actively contributing to full-stack development (around 50% coding). The position centers on refining core product UX, improving performance, and ensuring a cohesive, high-quality user experience within a modern cloud-based architecture. The role combines technical leadership, system design, and cross-team project delivery in a fast-growing environment. 🗂️ Requirements: 8+ years of software engineering experience, Minimum 2 years of engineering people management experience, Strong full-stack engineering background, Experience leading complex cross-functional technical projects, Ability to design scalable systems and debug complex issues, Experience with modern frontend framework (React preferred), Experience with serverless technologies (AWS Lambda, EC2), Experience with asynchronous workflows, Experience working in cloud environments, Proficiency with relational databases (PostgreSQL preferred) 📃 Skills: React, JavaScript, TypeScript, AWS, Lambda, EC2, PostgreSQL, SQL, Serverless, Cloud, LLM, GenerativeAI, DistributedSystems 🏢 Description: About Kalepa: Commercial insurance is a trillion-dollar industry still run out of Microsoft Outlook. Kalepa is changing that. Kalepa is an AI Underwriting Platform built to deliver Professional-Grade AI in production - helping the world's most important insurers centralize and prioritize submission data, surface critical risk insights, and make faster, more confident decisions. Customers see meaningful improvements to both speed and portfolio quality as soon as they implement Kalepa - so much so that clients call it “truly an underwriter’s dream.” Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. Kalepa is backed by leading VCs like IA Ventures and Inspired Capital. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles: Hustle & Grit - We expect everyone at Kalepa to be excellent at what they do and relentless in pursuing their craft. There are no easy days. Kalepa’s exceptional speed and determination are our biggest differentiators: this is how we win. Customer Focus - We will ruthlessly prioritize the work that drives our clients’ growth, profitability, and efficiency. We are not building things just because they seem cool - we are here to solve our customers’ most strategic problems. Meritocracy - Too many exceptional people are stifled by corporate bureaucracies. At Kalepa, those people excel - and we reward tremendous results with rapid promotions and compensation growth. Transparency - We are honest with each other. We don’t believe in back-office politics and keeping employees in the dark. Transparency allows us to instantly cut to the heart of the matter and figure it out together. Experimentation - For many of the problems we face, no company has ever solved them before. We tackle these by quickly testing, measuring, and iterating to determine the path to success. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena). Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere. About the role: Salary range: $140K – $185K USD* We are looking for an exceptional Tech Lead Manager to lead a team of world-class engineers building core Kalepa functionalities. We are looking for a deeply technical leader with significant experience in full-stack engineering who is excited to be hands-on and a ‘player-coach’. The candidate will be responsible for setting strategy, for leading the team to deliver results consistently, for growing and developing talented engineers, and for cultivating a results-driven high-performance culture. As part of the Core UX team, you will focus on refining existing product functionality to deliver an exceptional user experience. Your work will center on ensuring consistency across the product, maintaining a cohesive look and feel, and implementing performance improvements that directly impact end users. You’ll be paying close attention to the layout, interactions, responsiveness, and visual polish, that collectively give the product a premium, well-crafted feel. This role is ideal for someone who enjoys iterative improvement, cares deeply about quality, and wants to shape the everyday experience of our users. Note : You will spend a lot of the time on the engineering work as this is a hands-on position (around 50% - coding). You'll be right at home if you: Have 8+ years of relevant software engineering experience with at least 2 years of full-time engineering people management experience. Have experience managing complex projects that touch multiple teams and cross-functional partners. Have past success hiring talented engineers at different levels Have the ability to make the tradeoffs required to ship high-quality code while working within the constraints of a fast-growing company. Embody hustle and grit, you're excellent at your craft and relentless in pursuing it. Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop. Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before. Have strong fundamentals in system design, debugging, and problem-solving. You have experience in a modern FE framework, preferably React. Have experience with serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments. Are comfortable with relational databases, ideally PostgreSQL. Bonus: experience with LLMs/generative AI, distributed systems. What you’ll get: Competitive salary (based on experience level). Significant equity options package. 401(k) plan with employer match (regardless of employee contribution) Excellent benefits: 100% covered medical, 100% covered vision and dental for individuals and families, and others Work with an ambitious, smart, global, and fun team to transform a $1T global industry. 20 days of PTO a year Global team offsites (2021 - Playa del Carmen, 2022 - Rome, 2023 - Buenos Aires, 2024 - Lisbon, 2025 - Cartagena) Healthy living/gym stipend. Mobile phone bill stipend. Continuing education credits. * The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.

🏢 Summary: Staff AI Engineer role focused on developing and deploying Edge AI models for in-vehicle health monitoring, anomaly detection, and predictive maintenance in software-defined vehicles. The position involves building end-to-end ML pipelines, optimizing models for embedded edge devices, and working with multimodal automotive data including logs, traces, Ethernet, and CAN signals. This hybrid Sunnyvale-based role also includes technical leadership and mentoring responsibilities in a fast-paced AI and automotive environment. 🗂️ Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or related field, 7+ years of Machine Learning Engineering experience, 3+ years focused on Edge AI or Embedded Systems, Experience mentoring junior engineers, Expert-level Python skills, Working knowledge of C++14/17, Proficiency with PyTorch or TensorFlow, Experience with ONNX, TFLite, or TVM inference engines, Experience with NLP techniques and sequence modeling, Experience with anomaly detection libraries for sensor data, Experience deploying models to Edge or ARM-based environments, Ability to lead technical projects from concept to production 📃 Skills: Python, C++, PyTorch, TensorFlow, ONNX, TFLite, TVM, NLP, RNN, GRU, LLM, SLM, scikit-learn, tslearn, statsmodels, ARM, CAN, DBC, UDS, SOME/IP, MQTT, Linux, QNX, TensorRT, SNPE, CNN, LSTM, Transformers, Autoencoders, IsolationForest, Gemini, OpenAI, Claude 🏢 Description: Role Summary: Sonatus is looking for a Staff AI Engineer to lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous vehicle-generated data, including system logs, traces, Ethernet, and CAN signals, to detect and predict subsystem health issues and anticipate failures in real time. You will own the end-to-end ML pipeline, from data ingestion and model training to deployment on resource-constrained edge devices and optimization for production environments. The role includes collaboration with vehicle software experts and AI engineers focused on MLOps and AI integration for production vehicles. This is a hybrid role based in Sunnyvale, CA, with an expectation to work in the office 3 days per week. Responsibilities: - Build and train AI Edge models such as Transformers, LLMs, CNNs, LSTMs, and Trees to process application logs, kernel traces, and multimodal data. - Integrate ML workflows, including cloud-based LLM APIs such as Gemini, OpenAI, and Claude, with emphasis on synthetic data creation. - Develop algorithms for clustering log patterns and detecting software regressions, race conditions, and crash precursors. - Design supervised and unsupervised learning models such as Autoencoders and Isolation Forests for monitoring time-series CAN bus and sensor data. - Correlate signal anomalies across modalities with system events to identify root causes. - Port and optimize PyTorch and TensorFlow models for execution on CPU/GPU-bound targets and embedded NPUs. - Apply quantization, pruning, distillation, and memory optimization techniques for constrained edge environments. - Define on-device data filtering and cloud processing strategies. - Lead edge ML pipeline architecture and mentor junior engineers. Requirements: - Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. - 7+ years in Machine Learning Engineering with 3+ years focused on Edge AI or Embedded Systems. - Experience mentoring junior engineers. - Expert Python skills and working knowledge of modern C++ (C++14/17). - Deep proficiency with PyTorch or TensorFlow. - Experience with inference engines such as ONNX, TFLite, or TVM. - Experience with NLP techniques, sequence modeling (RNN/GRU), vector stores, or lightweight LLMs/SLMs. - Experience with scikit-learn, tslearn, or statsmodels for anomaly detection. - Experience deploying to Edge environments, including ARM-based systems and limited compute resources. - Ability to lead technical projects and communicate trade-offs effectively. Desired Skills: - MS or PhD in Computer Science, Engineering, or related fields. - Familiarity with automotive protocols and formats such as CAN, DBC, UDS, SOME/IP, or MQTT. - Understanding of Linux/QNX kernel logs, process states, and OS-level debugging. - Experience with NVIDIA TensorRT and Qualcomm SNPE. - Strong Computer Vision or ADAS background. Benefits & Perks: - Health care plan (Medical, Dental & Vision) - Flexible and Dependent Care Expense program - Retirement plan (401k) - Life Insurance (Basic, Voluntary & AD&D) - Unlimited paid time off and 14+ paid holidays - Hybrid office work arrangement - Complimentary lunches, snacks, and beverages during on-site workdays - Wellness benefit allowance - Phone and Internet reimbursement - Computer Accessory Allowance Base Salary Pay Range: $197,500—$272,000 USD

🏢 Summary: Staff AI Engineer role focused on developing and deploying Edge AI models for in-vehicle health monitoring, anomaly detection, and predictive diagnostics in AI-defined vehicles. The position involves leading end-to-end ML pipelines, optimizing models for embedded systems, and collaborating on production-grade automotive AI solutions. Hybrid role based in Sunnyvale, CA with opportunities to work on real-time vehicle data, Edge AI, and MLOps integration. 🗂️ Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or related field, 7+ years of Machine Learning Engineering experience, 3+ years focused on Edge AI or Embedded Systems, Experience mentoring junior engineers, Expert-level Python, Working knowledge of C++14/17, Proficiency with PyTorch or TensorFlow, Experience with ONNX, TFLite, or TVM, Experience with NLP and sequence modeling, Experience with scikit-learn, tslearn, or statsmodels, Experience deploying models to Edge or ARM-based environments, Ability to lead technical projects in fast-paced environments 📃 Skills: Python, C++, PyTorch, TensorFlow, ONNX, TFLite, TVM, scikit-learn, tslearn, statsmodels, Transformers, LLM, CNN, LSTM, RNN, GRU, Autoencoders, TensorRT, SNPE, Gemini, OpenAI, Claude, NLP, MLOps, CAN, DBC, UDS, SOME/IP, MQTT, Linux, QNX 🏢 Description: Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a Staff AI Engineer to join our AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during day-to-day operation, including system logs, traces, and vehicle internal signals such as Ethernet and CAN, to detect and predict the health of different subsystems and anticipate failures in real time. You will own the end-to-end ML pipeline from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will collaborate with developers specializing in vehicle software, systems, MLOps, and AI model integration for production vehicles. The role includes experimentation with advanced model architectures and modern development tools. This is a hybrid role based in Sunnyvale, CA, requiring in-office work 3 days per week. Responsibilities: - Build and train AI Edge models such as Transformers, LLMs, CNNs, LSTMs, and Trees to process unstructured application logs, kernel traces, and multimodal data. - Integrate ML workflows including cloud-based LLM APIs such as Gemini, OpenAI, and Claude, with emphasis on synthetic data creation. - Develop algorithms to cluster log patterns and detect software regressions, race conditions, and crash precursors. - Design supervised and unsupervised learning models such as Autoencoders and Isolation Forests for monitoring time-series data from CAN bus and onboard sensors. - Correlate signal anomalies across modalities with system events to identify root causes. - Port and optimize PyTorch and TensorFlow models for execution on CPU/GPU targets or embedded NPUs. - Apply quantization, pruning, distillation, and memory optimization for constrained edge environments. - Define strategies for on-device filtering and cloud processing. - Lead edge ML pipeline architecture and mentor junior engineers. Requirements: - Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or related field. - 7+ years of Machine Learning Engineering experience with 3+ years focused on Edge AI or Embedded Systems. - Experience mentoring junior engineers. - Expert Python skills and working knowledge of modern C++. - Proficiency with PyTorch or TensorFlow. - Experience with ONNX, TFLite, or TVM. - Experience with NLP techniques, sequence modeling, vector stores, or lightweight LLMs. - Experience with scikit-learn, tslearn, or statsmodels. - Ability to lead projects in fast-paced environments and communicate technical trade-offs. - Experience deploying to ARM-based Edge environments with constrained compute resources. Desired Skills: - MS or PhD in Computer Science, Engineering, or related field. - Familiarity with automotive protocols and formats such as CAN, DBC, UDS, SOME/IP, or MQTT. - Understanding of Linux/QNX kernel logs, process states, and OS-level debugging. - Experience with NVIDIA TensorRT and Qualcomm SNPE. Benefits & Perks: - Health care plan including Medical, Dental, and Vision. - Flexible and Dependent Care Expense program. - 401(k) retirement plan. - Life insurance. - Unlimited paid time off and paid holidays. - Hybrid office work arrangement. - Complimentary lunches, snacks, and beverages on-site. - Wellness allowance. - Phone and Internet reimbursement. - Computer accessory allowance. Base Salary Pay Range: $197,500 — $272,000 USD

🏢 Summary: Full-stack engineering role focused on designing and developing modern cloud-native applications using Java and React for global enterprise clients. The position involves end-to-end feature delivery, architectural participation, and close collaboration with business stakeholders in an Agile environment. You will contribute to scalable, high-quality solutions while leveraging AI-driven tools and modern CI/CD practices. 🗂️ Requirements: 3+ years of experience in full-stack development with Java and React, Experience with CI/CD pipelines and modern software delivery practices, Understanding of RESTful APIs, microservices architecture, and distributed systems, Hands-on experience with cloud-native applications and cloud deployments, Knowledge of software design principles, testing strategies, and code quality standards, Experience using AI/LLM-powered tools in a professional environment, Ability to work in Agile teams and collaborate with technical and non-technical stakeholders, Very good command of English and Polish (B2+/C1) 📃 Skills: Java, React, CI/CD, REST, Microservices, DistributedSystems, Cloud, AI, LLM, Agile, Python, Databricks 🏢 Description: Grape Up is a consulting & technology company, helping enterprises create the most important applications by leveraging AI & cloud-native technologies and modern ways of delivering software. Grape Up is a consulting and technology company helping enterprises build mission-critical applications by leveraging AI, cloud-native technologies, and modern software delivery practices. As a member of our team, you will collaborate with both Grape Up engineers and client-side specialists to develop innovative digital products. You will be involved in building new solutions, delivering impactful features, and contributing to the continuous evolution of products used by thousands of users worldwide. Beyond day-to-day development, you will have the opportunity to influence technical decisions, shape system architecture, drive quality improvements, and promote engineering best practices across the project. Working closely with business stakeholders, product teams, and end users, you will help turn business needs into valuable, scalable solutions. At Grape Up, we believe in long-term career growth rather than short-term assignments. We provide the flexibility to explore new technologies, industries, and challenges while working on ambitious projects for global enterprises. By joining us, you will become part of a culture that values ownership, continuous learning, collaboration, and engineering excellence. Responsibilities Design, develop, and maintain modern cloud-native applications using Java and React Deliver new features and enhancements across the entire technology stack, from backend services to user-facing interfaces Collaborate closely with business stakeholders, Product Owners, and cross-functional teams to translate business needs into technical solutions Participate in system architecture discussions and contribute to technical decision-making Ensure high software quality through code reviews, automated testing, and continuous improvement initiatives Promote engineering best practices, coding standards, and maintainable software design Continuously seek opportunities to improve development processes, tools, and the overall product quality Be part of an Agile team that values teamwork, feedback, and continuous improvement Requirements 3+ years of experience in full-stack software development using Java and React Experience with CI/CD pipelines and modern software delivery practices Good understanding of RESTful APIs, microservices architecture, and distributed systems Hands-on experience in building cloud-native applications and deploying solutions to cloud environments Understanding of software design principles, testing strategies, and code quality standards Experience in using AI/LLM-powered tools in a professional context Ability to work effectively in Agile teams and collaborate with both technical and non-technical stakeholders Strong problem-solving skills and a proactive approach to delivering business value Very good command of English and Polish, both written and spoken (B2+/C1) – daily collaboration within the team takes place in English Nice to have Knowledge of Python Experience in Databricks Openness to (short) Business Trips, both domestic and foreign Benefits Non-corporate work environment among experienced engineers Individual growth & development plan supported by cyclical feedback sessions Access to knowledge platforms (e.g. Pluralsight) Equipment of your choice Financing of conferences, external trainings, and certifications Language lessons (English, German and Polish for foreigners) LuxMed private medical care Weekly Lunch & Learn where we meet up in the office, lunch together, and share our knowledge Employee referral program Rewards for the success of the month and year awarded by our employees Special rewards for your years with us (G-Man) Integration activities