Implementation Engineer

🏢 Summary: Senior QA Automation Engineer responsible for defining and executing quality strategy for serverless middleware services on AWS, supporting ordering, loyalty, payments, and third-party integrations. The role focuses on building automated API test frameworks, validating event-driven architectures, performing performance testing, and integrating quality gates into CI/CD pipelines. It requires strong backend testing experience and active use of AI-assisted tools in daily quality engineering work. 🗂️ Requirements: 4+ years of quality engineering or software engineering focused on backend API testing, Experience designing automated test suites for REST APIs in distributed or microservices environments, Hands-on experience with performance and load testing, Proficiency in JavaScript, TypeScript, Java, or Python, Working knowledge of AWS serverless services (Lambda, API Gateway, DynamoDB, SQS/SNS), Experience integrating automated tests into CI/CD pipelines (Azure DevOps or GitHub Actions), Proficiency with AI-assisted development tools (GitHub Copilot, Claude, or equivalent), Familiarity with contract testing and consumer-driven contracts, Experience validating asynchronous systems, Strong scripting skills, Upper-intermediate English level 📃 Skills: JavaScript, TypeScript, Java, Python, AWS, Lambda, APIGateway, DynamoDB, SQS, SNS, REST, CI/CD, AzureDevOps, GitHubActions, GitHubCopilot, Claude, ContractTesting, Microservices, PerformanceTesting, LoadTesting, Scripting 🏢 Description: ID72456 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior QA Automation Engineer to own quality strategy for serverless middleware services powering ordering, loyalty, payments, and third-party integrations across a major consumer platform. You will design and maintain automated test suites for RESTful APIs and event-driven architectures on AWS, execute performance and load testing, validate partner integrations including delivery and payment platforms, and integrate quality gates into CI/CD pipelines using Azure DevOps and GitHub Actions. The role expects active use of AI-assisted tools as a core part of daily quality engineering work. What you will do Build automated test frameworks for serverless applications; Validate event-driven workflows and asynchronous messaging; Execute performance and load testing; Validate resiliency and failure scenarios; Design, build, and maintain automated test suites covering functional, integration, and contract testing for middleware APIs and services ensuring correct behavior in isolation and across dependencies; Leverage AI-assisted tools for test case generation, synthetic data creation, failure analysis, and coverage documentation; Own performance and reliability validation including load, stress, spike, and soak testing, establishing baselines and identifying bottlenecks; Partner with engineers throughout the development cycle to align on test strategy, acceptance criteria, and CI/CD integration via Azure DevOps or GitHub Actions; Validate third-party integrations through contract testing, sandbox/staging validation, and failure mode analysis; Track and report quality metrics, maintain documentation, and contribute to incident post-mortems. Must haves 4+ years of quality engineering or software engineering experience focused on backend API testing; Experience designing automated test suites for REST APIs in distributed or microservices environments; Hands-on experience with performance and load testing; Proficiency in JavaScript/TypeScript , Java , or Python ; Working knowledge of AWS serverless services (Lambda, API Gateway, DynamoDB, SQS/SNS); Experience integrating automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions); Proficiency with AI-assisted development tools (GitHub Copilot, Claude, or equivalent); Familiarity with contract testing approaches and consumer-driven contracts; Strong analytical and root-cause analysis skills, including distinguishing flaky tests from real defects; Experience validating asynchronous systems; Strong scripting skills; Clear communication and ability to translate test findings into engineering priorities; Collaborative approach to working within engineering sprints; Upper-intermediate English level. Nice to haves Experience with k6, Gatling, JMeter, or similar performance testing tools; Postman/Newman experience; Familiarity with Pact or other contract testing tools; Cognito authentication testing experience; Delivery and payment integration testing experience; Experience with DoorDash, Uber Eats, or similar marketplace APIs; Chaos engineering and fault injection (AWS FIS or similar); Observability tooling experience (Dynatrace, Datadog, CloudWatch); Multi-region AWS testing and failover/latency validation; Background in QSR, retail, or e-commerce domains; AWS Certified Developer – Associate or higher. The benefits of joining us Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Senior Application Security Engineer role focused on architecting and automating security controls across the SDLC for a large-scale financial services program. The position involves building AI-enabled secure code scanning, integrating SAST/DAST/SCA tools into CI/CD pipelines, and providing code-level remediation guidance in Python and Java environments. The engineer operates autonomously, driving DevSecOps practices and secure-from-the-start adoption. 🗂️ Requirements: 6+ years of software engineering experience, Strong focus on Application Security and DevSecOps, Advanced proficiency in Python, Advanced proficiency in Java, Hands-on experience with SAST tools, Hands-on experience with DAST tools, Hands-on experience with SCA tools, Experience integrating security tools into CI/CD pipelines, Ability to build automated security runbooks independently, Upper-intermediate English level 📃 Skills: Python, Java, SAST, DAST, SCA, CI/CD, DevSecOps, AI, LLMs, ThreatModeling 🏢 Description: ID71663 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior Application Security Engineer to architect and build automated security layers within the SDLC, engineering AI-enabled secure code scanning, hardened baseline automation, and CI/CD security tooling integration across a large-scale financial services program. You will work in Python and Java to deploy and tune SAST, DAST, and SCA tools, provide code-level remediation guidance to development teams, and operate with full autonomy building automated security runbooks. The role requires 6+ years of software engineering experience with a strong AppSec and DevSecOps focus. What you will do Engineer and deploy AI-enabled secure code scanning capabilities and Golden Images to drive secure-from-the-start adoption; Automate the development of secure coding patterns and integrate them with traditional and Agentic SDLC workflows; Architect the integration of continuous security scanning tools (SAST, DAST, SCA) into enterprise CI/CD pipelines, tuning them to eliminate noise; Act as a senior technical SME, reading and reviewing complex application code (Java/Python) to provide software engineers with highly specific, code-level remediation guidance. Must haves 3–5 years of commercial experience blending software engineering and DevSecOps/AppSec; Solid coding proficiency in Python for automation/scripting; Working knowledge of modern CI/CD orchestration tools and practical experience interacting with vulnerability scoring frameworks; Ability to operate with minimal supervision on day-to-day execution, reliably completing complex scripting and integration tasks; Upper-intermediate English level. Nice to haves Ability to comfortably read and navigate Java source code; Hands-on experience with specific CNAPP or ASPM platforms (e.g., Wiz ); Basic understanding of application threat modeling. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Technical role supporting AI and DevOps platforms, focused on ensuring stability, reliability, and performance of critical services across the organization. The position involves incident management, platform resilience, automation, and observability in collaboration with SRE, engineering, and support teams. The engineer contributes to operational excellence, platform enhancements, and continuous improvement of cloud-native environments. 🗂️ Requirements: 6-8 years experience in technical support, platform operations, or engineering, Experience supporting IT services, infrastructure, or platform operations, Hands-on experience with incident management and root cause analysis, Experience with cloud-native platforms and container orchestration, Experience with CI/CD pipelines and DevOps practices, Experience with monitoring and observability tools, Knowledge of databases such as Postgres or MongoDB, Programming or scripting experience in Java, Python, or Go, Understanding of architecture concepts and system design, Experience with resilience testing and disaster recovery activities 📃 Skills: OpenShift, Kubernetes, ECS, CI/CD, Prometheus, Grafana, Splunk, Postgres, MongoDB, Java, Python, Go, AI, DevOps, SRE 🏢 Description: Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries, operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning, and flexibility with potential hybrid work opportunities. Help solve real‑world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. We are seeking a motivated team member to support our AI and DevOps Platform Support team in North America. This role is responsible for assisting in the stability, reliability, and performance of our critical AI and DevOps platforms. The team supports a wide range of services, including multiple AI applications, developer tools, and CI/CD pipeline technologies used across the organization. The ideal candidate will work closely with SRE and Support engineers to resolve incidents, address platform issues, and collaborate with engineering and development teams to enhance platform supportability. The role includes coordinating daily operational activities and contributing to short‑term planning. Responsibilities: Collaborative Application Support: Provides application support by partnering with vendors, offshore managed services, and internal development and engineering teams to ensure platform stability and operational readiness. Service Level Improvement: Actively supports efforts to improve service levels by participating in incident management, problem resolution (RCA), and knowledge-sharing initiatives. Platform Resilience and Testing: Assists in resilience-related activities, including incident simulations, disaster recovery exercises, and platform readiness testing to ensure business continuity. Automation and Efficiency: Supports automation efforts designed to reduce manual tasks, improve operational efficiency, and contribute to cost-saving initiatives. Monitoring and Observability: Helps maintain platform health by supporting observability practices, including monitoring, logging, tracing, and alerting for proactive issue identification. Platform Onboarding and Enhancement: Assists with application onboarding activities and contributes to platform enhancement initiatives in partnership with engineering and support leads. Data Collection for Planning: Helps collect and track capacity, performance, and latency data to support platform planning efforts and prepare materials for business review meetings. Troubleshooting and Incident Response: Maintains a practical understanding of platform components (like OpenShift, ECS, CI/CD) to effectively support troubleshooting and incident response activities. Qualifications: Experience: 6-8 years of relevant experience in technical support, platform operations, or engineering. Core Expertise: Demonstrated experience supporting IT services, platform operations, or infrastructure, with participation in resilience and stability-focused activities. Architectural Acumen: Exposure to architecture concepts with the ability to contribute to technical discussions and understand design decisions. Collaboration and Communication: Strong communication skills and a proven ability to collaborate effectively with business partners, engineering teams, and other cross-functional stakeholders. Cloud-Native & DevOps Tooling (Preferred): Experience with Red Hat OpenShift/Kubernetes, CI/CD tools, and modern observability/monitoring tools (e.g., Prometheus, Grafana, Splunk). Database & Scripting Skills (Preferred): Experience with databases (e.g., Postgres, MongoDB) and scripting or coding abilities in languages like Java, Python, or Go. Organizational Skills: Strong organizational skills with the ability to manage a daily workload and effectively prioritize tasks. Generative AI Knowledge (Preferred): A working knowledge of Generative AI concepts. What we can offer you: By joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (currently up to 2 days working at home per week), but also (potentially, subject to final offer) receive a competitive base salary and enjoy a whole host of additional benefits which can include: Employer paid Defined Contribution Pension Plan contribution of 6% of employee’s pensionable earnings (PPE Program) Employer paid Private Medical Care Package for employees and Private Medical Care Packages for certain family members available at preferential rates Employer paid Life Insurance Program for employees and Life Insurance for certain family members available at preferential rates Employee Assistance Program financed by Employer Paid Parental Leave Program (maternity and paternity leave; statutory and 2 weeks additional paid paternity leave) Sport Card for employees subsidized via Social Benefits Fund and Sport Cards for certain family members available at preferential rates Additional benefits from Company’s Social Benefit Fund, in particular: Holidays Allowance, support for sport and cultural activities, team building events. Additional day off for volunteering Cafeteria/ flex benefit – a company benefits system which enables employees to select and purchase benefits offered by a provider and available for employees on the platform. Opportunity to receive an annual discretionary incentive award Special offers and discounts for employees Copy and paste the URL below into a new tab on your web browser to view the Remuneration Regulations extract: https://tbcdn.talentbrew.com/company/287/cms/v3/docs/policies/RemunerationRegulations-KeyProvisions-CitibankEurope_plc_05012025_A.pdf Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. #LI-KK1 ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Support ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location Full Time Salary Range: 165 020,00 zł - 280 980,00 zł ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. ------------------------------------------------------ This job opening is for an existing job vacancy. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

🏢 Summary: Backend Software Engineer role focused on building and scaling integrations for public safety platforms using Java and Spring Boot. The position involves developing REST, SOAP, and GraphQL integrations, designing cloud-based workflows, and improving reliability across RMS, CAD, and Booking systems. The role emphasizes clean architecture, automated testing, and collaboration within Agile teams. 🗂️ Requirements: Bachelor's degree in Computer Science or related field, 3+ years of software engineering experience, Strong Java experience, Spring, Experience with REST APIs, Experience with SOAP, Experience with GraphQL, SQL proficiency, Experience with automated testing, Experience with Agile methodologies, Clean and maintainable coding practices, Upper-intermediate English 📃 Skills: Java, Spring, SpringBoot, REST, SOAP, GraphQL, SQL, Agile, Testing, React, AWS, Kubernetes, Docker, Terraform, Prismatic, Boomi, Workato 🏢 Description: ID77772 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Software Engineer to join an Integrations team building and scaling mission-critical systems that connect a public safety platform with third-party tools including 911 call centers, state databases, and external agency systems. You will design and build integration workflows using Java and Spring Boot, develop REST, SOAP, and GraphQL API integrations, and contribute to reliable data pipeline architecture supporting Records Management, Computer-Aided Dispatch, and Booking products. The role is backend-focused and emphasizes clean, testable, and well-documented integration solutions. What you will do Build and maintain integrations between the platform and third-party client systems; Develop integration workflows using modern integration platforms and custom services with Java; Enhance Records Management System (RMS), Computer-Aided Dispatch (CAD), and Booking products with scalable integration capabilities; Design secure, reusable, and well-architected cloud-based integration solutions; Write tests, debug production issues, and improve system quality and reliability; Contribute to technical documentation and automated build and deployment processes that improve engineering efficiency; Participate in code reviews and contribute through a pull request-based development process; Collaborate with engineers, product managers, and cross-functional partners to deliver robust integration solutions. Must haves Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience; 3+ years of professional software engineering experience ; Strong experience with Java and the Java ecosystem, including Spring Boot ; Experience designing and building integrations with RESTful APIs , SOAP , and GraphQL ; Familiarity with database technologies and proficiency with SQL ; Experience with automated testing and Agile development methodologies; Ability to write clean, maintainable, and easy-to-understand code; Strong collaboration skills and the ability to build cooperative working relationships with teammates; Upper-intermediate English level. Nice to haves Experience with React ; Familiarity with AWS , Kubernetes , Docker , and Terraform ; Experience with integration platforms such as Prismatic, Boomi, Workato, or similar tools; Exposure to event-driven architectures and distributed systems. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Opportunity to join a newly formed AI team in the banking sector to build a modern AI-native platform from scratch. The role focuses on designing and delivering production-grade solutions using LLMs, RAG, and agent-based architectures, while shaping AI strategy and architectural decisions. You will develop secure, transparent, and scalable AI systems that drive real business value in a regulated financial environment. 🗂️ Requirements: At least 3 years of experience in AI/ML, Minimum 5 years of experience in product development, Strong Python skills, Hands-on experience with LLMs, RAG, and agent-based systems in production, Experience with AI frameworks such as Agno, LangChain, LlamaIndex or similar, Knowledge of prompt engineering and AI model evaluation, Experience with Azure or AWS, Understanding of vector databases and embeddings, Experience with workflow orchestration tools (Temporal, Prefect, Airflow), Ability to design scalable and reliable AI solutions, Experience in model monitoring and MLOps practices, Ability to make architectural decisions and assess business value of AI, Fluent English 📃 Skills: Python, LLM, RAG, LangChain, LlamaIndex, Agno, Azure, AWS, Temporal, Prefect, Airflow, MLOps, Embeddings, VectorDB 🏢 Description: We are looking for an experienced Senior AI Engineer to join a newly formed AI team delivering a strategic initiative in the banking sector. This is a unique opportunity to co-create a modern AI-native platform from scratch and influence the direction of AI within the organisation. In this role, you will design and develop solutions based on LLMs, RAG systems, and agent-based architectures to support data integration and transformation processes. You will contribute to key decisions around AI strategy, model selection, architecture, and quality standards. We are seeking a candidate with strong technical skills and hands-on experience in building production-grade AI solutions—someone who understands where AI brings real business value and can deliver high-quality, transparent, and secure solutions in a financial environment. Your tasks Design and develop solutions based on LLMs, RAG, and agent-based architectures Co-create and execute an AI strategy for a modern banking platform Select models, frameworks, and approaches for production-grade AI solutions Build systems for data integration, transformation, and validation automation Define prompt engineering, model evaluation, and AI quality standards Develop monitoring, evaluation, and continuous improvement mechanisms Collaborate with engineering and product teams on new features Ensure high quality, transparency, and auditability of AI outputs Contribute to key architectural decisions and AI direction Mentor and share knowledge within the AI team Requirements At least 3 years in AI/ML and a minimum of 5 years in product development Strong Python skills Hands-on experience with LLMs, RAG, and agent-based systems in production Familiarity with frameworks such as Agno, LangChain, LlamaIndex, or similar Knowledge of prompt engineering and AI model evaluation Experience with Azure or AWS Understanding of vector databases and embeddings Experience with workflow orchestration tools (e.g., Temporal, Prefect, Airflow) Ability to design scalable, reliable AI solutions Experience in model monitoring and MLOps practices Capability to make architectural decisions and assess the business value of AI Strong collaboration skills with technical and business stakeholders Fluent English Nice-to-have requirements Previous work in financial services, fintech, or other regulated industries Knowledge of compliance, auditability, and AI security Familiarity with MLOps and large-scale ML/LLM deployments Experience fine-tuning open-source models for specific domains Proven track record in developing AI solutions for data platforms, analytics, or SaaS products Background in AI R&D projects Publications, conference speaking, or open-source contributions Experience building and scaling technical teams What we offer Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022 Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more Comfortable workplace – class A offices or remote work Dozens of fascinating projects for prestigious brands from all over the world PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers Investment in your growth – meetups, webinars, training platform and technology blog – you choose Fantastic atmosphere created by all Sii Power People If you want to work on systems with high operational significance — apply now!

🏢 Summary: Senior Platform Engineer consultant role focused on building AI-native platform capabilities, governance, and developer productivity tooling in a cloud-native environment. The position involves developing secure AI agent workflows, improving CI/CD automation, and enabling self-service engineering solutions for internal teams. This hybrid Stockholm-based assignment runs until the end of the year in a fast-moving and exploratory environment. 🗂️ Requirements: 5+ years of software, platform, DevEx, or infrastructure engineering experience, Strong proficiency in Java, Strong proficiency in Spring Boot or Go, Hands-on experience with AWS, Hands-on experience with EKS/Kubernetes, Experience with service deployment and observability, Experience designing and automating CI/CD pipelines, Experience with GitHub Actions, Ability to build self-service developer solutions, Strong communication and presentation skills 📃 Skills: Java, Spring, Go, AWS, EKS, Kubernetes, CI/CD, GitHub, Actions, LLMs, MCP, DevEx 🏢 Description: Role: Senior Platform Engineer - AI, Consultant Start Date: ASAP/August Number of Consultants: 3 Assignment Duration: Until end of the year Location: Hybrid setup from Stockholm Project & Environment Overview We are building the foundations for an AI-native software development lifecycle , where engineering teams can safely delegate meaningful work to AI agents within clear governance, compliance, and auditability boundaries. The team owns key parts of the internal developer experience, including AI platform capabilities, developer productivity tooling, platform compliance, and self-service workflows for engineering teams. This is a fast-moving and exploratory environment. Priorities and technical direction may evolve as we learn, validate, and ship. We are looking for a senior engineer who is highly self-driven, comfortable with ambiguity, and able to turn unclear problems into practical platform capabilities. Profile & Requirements Required Senior platform engineering experience: 5+ years of software, platform, DevEx, or infrastructure engineering experience. Strong backend engineering skills: High proficiency in Java/Spring Boot or Go . Cloud-native platform experience: Hands-on experience with AWS, EKS/Kubernetes , service deployment, observability, and production-grade infrastructure. CI/CD expertise: Strong experience designing and automating pipelines, preferably with GitHub Actions . Developer experience mindset: Ability to identify engineering friction and build practical self-service solutions that improve speed, quality, and reliability. Strong communication skills: Comfortable presenting technical solutions, running demos, and driving adoption across engineering teams. Highly Valuable Hands-on experience with LLMs , AI-assisted development, or agentic engineering workflows. Experience building or integrating multi-agent orchestration systems . Experience with Model Context Protocol (MCP) servers, tools, or similar integration patterns. Experience working in regulated environments with auditability, compliance, security, and cost-control requirements. Responsibilities & Deliverables You will build and deliver functional platform capabilities directly used by internal engineering teams. AI Agent Platform: Build secure, production-grade platform capabilities that allow teams to delegate engineering tasks to AI agents in a controlled and observable way. Agent Governance & Auditability: Implement traceability, approval flows, audit logs, cost attribution, token/API spend tracking, and operational guardrails. AI-Native CI/CD Automation: Improve GitHub Actions pipelines and integrate compliance and quality checks suitable for both human-written and agent-generated code. Developer Experience Improvements: Work closely with product engineering teams to identify daily blockers and turn them into self-service tools, templates, workflows, or platform features. Internal Adoption: Lead demos, workshops, and technical walkthroughs to help engineers understand and adopt new AI platform capabilities.

🏢 Summary: The role is for a Middle/Senior Full Stack Engineer to build and scale a SaaS platform using Java and React, contributing to architecture, secure cloud-based integrations, and CI/CD processes. The position involves end-to-end development, code reviews, and collaboration with cross-functional teams in a product built from the ground up. It offers significant ownership and impact within a high-scale environment. 🗂️ Requirements: 4+ years of SaaS development experience, Proficiency in Java, Proficiency in React, Strong knowledge of SQL, Experience with microservices architecture, Experience with JavaScript and TypeScript, Understanding of CI/CD practices, Understanding of observability concepts, Ability to work with EST time zone overlap, Upper-intermediate English proficiency 📃 Skills: Java, React, SQL, JavaScript, TypeScript, ReactJS, Microservices, CI/CD, Redis, Elasticsearch, AWS 🏢 Description: ID67841 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Middle/Senior Full Stack Engineer to build robust server-side solutions for a SaaS platform operating at scale, working across Java, React, SQL, Redis, and Elasticsearch. You will contribute to architecture decisions, design reusable client integration systems following secure cloud best practices, and participate in code reviews and CI/CD processes as a trusted technical resource for the team. The role offers significant ownership from day one in a product built from the ground up. What you will do Build a cleanly designed, reusable client integration system adhering to secure cloud software best practices from start to finish; Collaborate with design and product teams to understand requirements, create estimates, plan sprints, and meet delivery timelines; Plan and accurately estimate construction and delivery timelines; Contribute to technical documentation and automated build and deployment processes designed to increase engineer efficiency; Review code submitted by other software engineers and submit your own code for review as part of the pull-request deployment process. Must haves 4+ years’ experience of SaaS experience; High level of proficiency in Java , React , and SQL ; Knowledge of or prior experience with microservices architecture ; Front end experience with JavaScript , Typescript , and ReactJS ; DevOps mindset of automation and continuous improvement; Good understanding of observability and familiarity with strong CI/CD practices; A proven ability to meet deadlines, motivate others, and consistently produce high quality, impactful results; Ability to maintain at least 6 hours of overlap with EST working hours ; Upper-intermediate and higher English proficiency. Nice to haves Experience building software in the cloud with AWS preferred. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Customer Engineer, AI Solutions role focused on leading technical sales engagements and end-to-end implementations of an AI software platform for healthcare practices. The position bridges Sales, Customer Success, Product, and Engineering to secure technical wins, drive customer adoption, and influence product roadmap decisions. It involves solution design, integrations, implementation, and ongoing technical advisory in a fast-paced startup environment. 🗂️ Requirements: 5+ years in Solutions Engineering, Sales Engineering, Solutions Consulting, Technical Consulting, Professional Services, Implementation, or Customer Engineering in high-growth tech companies, Experience leading SaaS or enterprise software implementations from discovery to production launch, Proven experience partnering with Sales to win new business and Customer Success to expand accounts, Strong technical aptitude and ability to explain complex software concepts to non-technical stakeholders, Experience in high-velocity SMB and/or mid-market environments, Cross-functional collaboration with Product, Engineering, Product Marketing, Sales, and Customer Success, Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience), Experience with healthcare software, workflows, EMRs/EHRs, or healthcare integrations (preferred) 📃 Skills: SaaS, AI, EMR, EHR, Integrations, APIs, EnterpriseSoftware, Implementation, SolutionDesign, TechnicalDiscovery, ProductDemos, ProofOfConcept, Testing, WorkflowAutomation 🏢 Description: Who we are: Nitra's mission is to build a more efficient healthcare system and the technology that makes it possible. Our goal is to provide an ecosystem of fintech and software solutions that help doctors better manage their practices, so they can have time back to focus on what matters to them most. We operate with urgency, intensity, and ambition. The bar is high because the opportunity is massive. We expect excellence, ownership, and intellectual rigor from every team member. We move fast, make bold decisions, and hold ourselves accountable to results. At the same time, we believe great companies are built on trust and respect. Every voice matters. Every contribution counts. When we win, we win together. We are scaling rapidly and on a clear trajectory toward becoming a unicorn this year — and beyond. Our growth is not accidental; it’s the result of disciplined execution, relentless focus, and a team that refuses to settle. We are building a category-defining company, and we’re looking for people who want to do the most meaningful work of their careers. If you want comfort, this isn’t the place. If you want impact, ownership, and the chance to help build a generational fintech company, welcome. Nitra maintains a hybrid work policy, with team members working from the office four days per week and Wednesdays designated as a work-from-home day. What we're looking for: We are looking for a highly technical, customer-focused Customer Engineer, AI Solutions to help scale one of Nitra's fastest-growing businesses. This role sits at the intersection of Sales, Customer Success, Product, and Engineering and will be responsible for helping healthcare practices successfully evaluate, implement, adopt, and expand Nitra's AI software platform. This is a highly cross-functional role with three core responsibilities. First, you'll partner with Sales and Customer Success to secure the technical win for both new customer acquisitions and cross-sell opportunities. Second, you'll own successful customer implementations, ensuring customers quickly realize value from our AI platform. Third, you'll serve as the voice of the customer by working closely with Product, Product Marketing, and Engineering to influence roadmap decisions and continuously improve the customer experience. The ideal candidate combines strong technical aptitude with exceptional customer-facing skills. You enjoy solving complex customer problems, translating technical capabilities into business value, and building repeatable implementation processes that scale. If you're excited about AI, healthcare technology, and working in a fast-paced startup environment, we'd love to meet you. Your responsibilities will include: - Partner with Sales and Customer Success throughout the sales cycle by leading technical discovery, solution design, product demonstrations, proof-of-concepts, technical evaluations, and implementation planning. - Serve as the technical expert during customer engagements, helping healthcare organizations understand how Nitra's AI platform can automate workflows and improve operational efficiency. - Lead customer implementations from kickoff through production launch, including solution configuration, integrations, testing, training, validation, and go-live support. - Drive customer adoption by helping practices implement best practices, optimize workflows, and maximize long-term value from Nitra's AI software. - Partner closely with Product, Product Marketing, and Engineering to prioritize customer feedback, influence product roadmap decisions, and improve the customer experience. - Build scalable implementation methodologies, technical documentation, playbooks, demo environments, onboarding guides, and best practices that improve deployment quality and reduce time-to-value. - Troubleshoot technical issues and collaborate with Engineering to resolve complex customer challenges. - Measure and optimize implementation performance, technical win rates, customer adoption, customer satisfaction, and implementation quality. - Act as a trusted technical advisor throughout the customer lifecycle while identifying opportunities for expansion and additional product adoption. You have: - 5+ years of experience in Solutions Engineering, Sales Engineering, Solutions Consulting, Technical Consulting, Professional Services, Implementation, or Customer Engineering within high-growth technology companies. - Proven success partnering with Sales organizations to win new business and Customer Success teams to expand existing customer relationships. - Experience leading SaaS or enterprise software implementations from technical discovery through production launch. - Strong technical aptitude with the ability to simplify complex software concepts for physicians, practice administrators, and business stakeholders. - Experience supporting high-velocity SMB and/or mid-market customer environments. - Experience working cross-functionally with Product, Engineering, Product Marketing, Sales, and Customer Success. - Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent technical experience. - Excellent communication, presentation, and executive-facing consulting skills. - High energy, strong executive presence, and the ability to influence without direct authority. - Builder mindset with the ability to thrive in ambiguity and rapidly evolving startup environments. - Experience with healthcare software, healthcare workflows, EMRs/EHRs, or healthcare integrations is strongly preferred. - Experience working in VC-backed Series B-D technology companies is strongly preferred. What we offer: - Equity - Everyone at Nitra is an owner. When the company wins, you win. - Competitive Salary - Your salary will reflect your experience and reward your contributions. - Health Care - Comprehensive health, vision, and dental insurance options. - Retirement Benefits - Generous employer 401K match. - Hybrid work policy with four days in office and Wednesdays work-from-home.

🏢 Summary: Opportunity for a Lead Full Stack Engineer to provide technical leadership while building scalable, high‑performance applications using the Microsoft stack and modern cloud architecture. The role combines hands-on full stack development with active adoption of AI-assisted engineering practices across the SDLC. You will drive engineering excellence, mentor teams, and integrate AI capabilities into products and internal tools. 🗂️ Requirements: 7+ years experience with Microsoft stack (.NET, C#, SQL Server, T-SQL), Strong experience with .NET Core and Angular, Proficiency in JavaScript, HTML, CSS, Experience with Git, Experience designing scalable and maintainable systems, Knowledge of SOLID principles and design patterns, Experience with microservices architecture, Experience with Azure or other cloud platforms, Experience working in Scrum environments, Hands-on use of GenAI tools (Copilot, ChatGPT, Cursor) in SDLC, Experience integrating LLM APIs or AI capabilities into applications, Understanding of AI risks, testing, reviews, and compliance guardrails 📃 Skills: .NET, C#, SQL, T-SQL, .NETCore, Angular, JavaScript, HTML, CSS, Git, Azure, Microservices, SOLID, GenAI, LLM, Copilot, ChatGPT, Cursor 🏢 Description: About the Client: The Client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers and automotive manufacturers. 3,300 employees across ten countries deliver exceptional standards on a large scale for over 1,200 clients. We help the global insurance market to handle millions of claims each year in the most cost-effective and efficient ways possible. The Client is embarking on an exciting and challenging transformation program and our software solutions are a driving force behind this strategy using cloud computing and leading-edge design patterns. Short Role Description: This is a great opportunity for an experienced Lead Full Stack Engineer to join our Software Development team as part of one of our established Scrum teams. Each agile team includes technical leadership, development, architecture, QA, product, and project management roles. We are looking for a strong engineering leader who combines deep hands-on development expertise with an AI-first mindset. This role requires an AI Champion — someone who actively applies AI tools across the Software Development Life Cycle and helps elevate engineering productivity, quality, and delivery standards through practical and responsible AI adoption. You will not only build high-performance applications, including high-traffic customer-facing platforms, but also act as a multiplier for engineering excellence by introducing modern practices, tools, and ways of working. Responsibilities: Provide technical leadership, mentorship, and hands-on support to engineers within the team. Design, develop, test, document, and maintain scalable backend and frontend solutions. Deliver high-quality, reusable, and maintainable code aligned with best engineering practices. Actively apply AI-assisted development approaches across design, coding, testing, and debugging. Drive improvements in engineering efficiency, quality, and delivery through practical AI usage. Produce clear and structured technical documentation. Provide realistic estimates and manage delivery timelines effectively. Participate in all Scrum ceremonies and contribute to team performance and continuous improvement. Coach teams on effective usage of GenAI tools and promote AI-first engineering culture. Requirements: 7+ years of experience with Microsoft development stack (.NET / C# / SQL Server / T-SQL). Strong experience with .NET Core, Angular, JavaScript, HTML, CSS, Git. Hands-on experience designing scalable and maintainable systems. Solid understanding of SOLID principles, design patterns, and microservices architecture. Experience working with cloud platforms (Azure preferred). Strong experience working in Scrum environments across different team setups. AI & Engineering Excellence Requirements: Proven hands-on experience using GenAI tools (e.g., Copilot, ChatGPT, Cursor, etc.) to improve development speed, code quality, testing, debugging, and documentation. Practical experience integrating LLM APIs or AI capabilities into applications or internal tools. Understanding of AI limitations, risks, and guardrails (testing, reviews, policies, compliance). Ability to introduce new tools and practices, influence teams, and scale adoption across engineering. Nice to Have: Experience building internal developer productivity tools or engineering automation solutions. Exposure to performance, scalability, and security requirements for large-scale platforms. Personal Attributes: Self-organising problem solver. Able to think outside the box (open thinking). Strong ability to work effectively in a team. Collaborating, motivating and energizing others (Team player). Encourage and drive others to deliver high-quality, cutting-edge software. You will have attention to detail and have a proactive ethos. Always looking for continuous improvement. Excellent verbal and written communication skills, in English. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: Oferta dotyczy długoterminowej pracy jako AI Engineer lub Senior AI Engineer przy budowie i skalowaniu rozwiązań opartych o Generative AI, LLM oraz AI Agents. Rola obejmuje projektowanie architektury AI, implementację RAG, rozwój API i pipeline’ów MLOps oraz integrację modeli AI z systemami biznesowymi. Praca odbywa się głównie zdalnie w modelu B2B lub UoP, w niewielkim zespole realizującym projekty produkcyjne. 🗂️ Requirements: Minimum 3 lata doświadczenia komercyjnego jako AI Engineer, ML Engineer lub pokrewna rola, Bardzo dobra znajomość Python, Znajomość LangChain, LangGraph, LlamaIndex lub podobnych frameworków, Doświadczenie z rozwiązaniami RAG, Znajomość baz wektorowych, Umiejętność projektowania i budowy REST API, Doświadczenie z Docker, Doświadczenie z AWS, Azure lub GCP, Znajomość Git, Znajomość dobrych praktyk Software Engineering, Umiejętność pracy w Agile, Język angielski na poziomie minimum B2+/C1- 📃 Skills: Python, LLM, OpenAI, Anthropic, Gemini, Llama, LangChain, LangGraph, CrewAI, AutoGen, RAG, FastAPI, Docker, Kubernetes, AWS, Azure, GCP, PyTorch, HuggingFace, MLflow, Airflow, Redis, PostgreSQL, LlamaIndex, Qdrant, Pinecone, Milvus, Weaviate, ChromaDB, REST, Git, Agile, SemanticKernel, MCP, LoRA, QLoRA, CI/CD, MLOps, vLLM, Ollama, TGI 🏢 Description: W ITLT pomagamy naszym partnerom budować rozwiązania, które jeszcze kilka lat temu wydawały się niemożliwe. Pracujemy z organizacjami rozwijającymi produkty oparte o Generative AI, LLM, AI Agents oraz nowoczesne platformy Machine Learning. Współtworzymy rozwiązania od fazy Proof of Concept, przez produkcyjne wdrożenia, aż po skalowanie środowisk AI obsługujących tysiące użytkowników Aktualnie poszukujemy osób na stanowisko: AI Engineer i Senior AI Engineer Konkrety: Forma współpracy: B2B lub UoP. Jesteśmy w pełni otwarci na Twoją propozycję - wystarczy wpisać odpowiednią kwotę w formularzu aplikacyjnym Miejsce pracy: Zapewniamy dużą swobodę pracy zdalnej, przy czym zapraszamy od czasu do czasu do naszego warszawskiego biura Wymiar pracy: Full-time Zespół: 6-8os. Proces rekrutacji: 1-etapowy (spotkanie zdalne via MS Teams). Sporadycznie możliwe dodatkowe krótkie spotkanie - połączone z decyzją Szacowany czas trwania projektu: Długoterminowy/bezterminowy Tematy na projekcie: Python, LLM (OpenAI, Anthropic, Gemini, Llama), LangChain, LangGraph, CrewAI, AutoGen, RAG, Vector Databases, FastAPI, Docker, Kubernetes, AWS, Azure, GCP, PyTorch, Hugging Face, MLflow, Airflow, Redis, PostgreSQL Do Twoich głównych obowiązków na tym stanowisku należeć będzie: Budowa i rozwój aplikacji opartych o Generative AI Tworzenie agentów AI wspierających procesy biznesowe Projektowanie architektury rozwiązań LLM Implementacja RAG oraz integracja z bazami wektorowymi Fine-tuning i optymalizacja modeli Integracja modeli AI z istniejącymi systemami Budowa API oraz mikroserwisów wspierających rozwiązania AI Rozwój pipeline'ów Machine Learning i MLOps Optymalizacja kosztów oraz wydajności rozwiązań AI Współpraca z zespołami Data Science, Software Engineering oraz Cloud Ta oferta będzie idealna dla Ciebie, jeśli posiadasz: Minimum 3 lata doświadczenia komercyjnego jako AI Engineer, ML Engineer lub pokrewnej roli Bardzo dobrą znajomość Pythona Praktyczną znajomość frameworków takich jak LangChain, LangGraph, LlamaIndex lub podobnych Doświadczenie z rozwiązaniami RAG Znajomość baz wektorowych (Qdrant, Pinecone, Milvus, Weaviate, ChromaDB) Umiejętność projektowania i budowy REST API Doświadczenie z Docker oraz środowiskami Cloud (AWS, Azure lub GCP) Znajomość Git oraz dobrych praktyk Software Engineering Umiejętność pracy w środowisku Agile Język angielski (przynajmniej na poziomie B2+/C1- Mile widziana znajomość: AI Agents (CrewAI, AutoGen, Semantic Kernel) MCP (Model Context Protocol) Fine-tuning modeli Open Source LoRA / QLoRA Hugging Face PyTorch Kubernetes CI/CD MLOps Prompt Engineering Observability dla systemów AI Znajomość inferencji modeli lokalnych (vLLM, Ollama, TGI) Warto do nas dołączyć, ponieważ oferujemy: Dużą swobodę pracy zdalnej Długofalowe stabilne zatrudnienie Szansę na uczestniczenie w kluczowych projektach dla dużej firmy działającej w bardzo stabilnym sektorze Atrakcyjne wynagrodzenie (adekwatne do umiejętności i doświadczenia) Benefity (Lux Med, MultiSport...) W razie pytań pingnij śmiało na Linkedin'ie do Kuby