Senior Lead AI/ML Engineer - R01567102

🏢 Summary: The offer is for a Senior AI Fullstack Engineer to design and deliver production-ready, LLM-powered web applications using modern React and Next.js architecture. The role focuses on building autonomous agents, RAG systems, and AI-driven workflows integrated with enterprise-grade products. It involves end-to-end ownership of scalable AI solutions from architecture to deployment. 🗂️ Requirements: 8+ years experience as consultant or forward deployed engineer, Strong experience with Next.js (App Router), React, TypeScript, Deep understanding of Server and Client Components (RSC), Experience with streaming, caching, revalidation, Server Actions, Experience with Vercel AI SDK, LangGraph or MCP, Experience building RAG systems, Hands-on experience with Anthropic and OpenAI APIs, Experience shipping LLM-powered features to production, Practical experience with prompt engineering and structured outputs, Experience with tool calling and agent workflows, Experience with multi-turn orchestration, Understanding of token economics and context windows, Experience with prompt evaluation methods, Ability to design robust, production-ready AI systems 📃 Skills: Next.js, React, TypeScript, RSC, Vercel, LangGraph, MCP, RAG, Claude, OpenAI, Anthropic, Prompting, Streaming, ServerActions, Agents, APIs 🏢 Description: About the Role At Blazity, we are a team of React.js and Next.js experts building modern, API-first digital products for enterprise clients. We are expanding our AI capabilities—autonomous agents, AI-driven automation, and LLM-powered workflows—and are looking for a Senior AI Fullstack Engineer who can design and ship production-ready AI systems. You will work at the intersection of modern web architecture and generative AI , taking ownership of solutions delivered to real users. Our requirements Must-have Technical Excellence: 8+ years of experience as a consultant / forward deployed engineer Strong experience with Next.js (App Router), React, TypeScript Deep understanding of: Server vs Client Components (RSC) streaming, caching, revalidation, Server Actions Vercel AI SDK / LangGraph / MCP Experience building RAG systems Claude extended thinking / prompt caching / Batch APIs AI Engineering: Proven experience shipping LLM-powered features to production Hands-on with Anthropic / OpenAI APIs (messages, tool use, streaming) Practical experience with: prompt engineering (structured output, few-shot, XML) tool calling / agent workflows multi-turn orchestration Understanding of: token economics (input/output costs, context window) latency vs quality trade-offs Reliability & Quality: Experience with: prompt evaluations (LLM-as-judge, rule-based) handling hallucinations and failure modes Ability to design robust AI systems , not just prototypes Soft Skills: Strong ownership mindset Experience working directly with clients Clear communication and structured thinking (English C1) Ability to make decisions in ambiguous environments Nice-to-have: What You Will Do Ship Production Apps: Build scalable web applications using Next.js (App Router) and TypeScript , ensuring high performance and clean architecture. Engineer AI Workflows: Develop and orchestrate LLM-powered features using Anthropic and OpenAI APIs, focusing on tool use and streaming. Agentic Orchestration: Design autonomous agent loops and multi-turn workflows, knowing when to use a structured pipeline versus a dynamic agent. Optimize & Evaluate: Manage token economics (pricing, context windows) and implement prompt evaluations (LLM-as-judge, rule-based) to ensure system reliability. Collaborate: Work directly with senior engineers, founders, and client teams to shape AI capabilities from concept to production. What we offer B2B: 120 – 180 PLN/h + VAT 🔥 100% remote (Poland) 29 paid vacation days Private healthcare + sports card High-impact work on real AI systems

🏢 Summary: Hands-on Head of Software Engineering role responsible for leading full-stack architecture, development, and delivery of a consumer lending platform across Angular, Java/Spring Boot microservices, and AWS. The position combines technical leadership, system architecture ownership, and team management in a high-availability, regulated fintech environment. The role requires driving architectural simplification, CI/CD maturity, and adoption of AI-assisted development practices. 🗂️ Requirements: 10+ years of software engineering experience, 5+ years in senior engineering leadership role, Strong Java and Spring Boot experience, Experience with Angular or modern front-end frameworks, Experience designing microservices and REST APIs, Experience with relational databases, Hands-on AWS infrastructure experience (EC2, S3, SQS, CloudWatch, CodeBuild), Ownership of CI/CD pipelines in production environments, Experience with high-availability distributed systems, Experience conducting architecture and code reviews, Experience simplifying complex architectures, Bachelor’s degree in Computer Science or related field, Residence in Texas within commuting distance to DFW, Authorization to work in the United States 📃 Skills: Java, Spring, SpringBoot, Angular, AWS, EC2, S3, SQS, CloudWatch, CodeBuild, REST, Microservices, MVC, SQL, CI/CD, GitHub, Bitbucket, AI, Copilot, LLM 🏢 Description: Title: Head of Software Engineering Function: Technology Reports to: Chief Growth & Strategy Officer Level: Director Location: Addison, TX (4 days/week in-office required) Please note: This position is open to candidates within commuting distance to the DFW metro area only. Applicants must reside in Texas and be authorized to work in the United States. Applications from candidates outside of Texas will not be considered at this time. While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time. WHO WE ARE Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech-enabled consumer credit products that combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime® — helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work. We are a lean team of approximately 40 people who move fast and hold ourselves accountable for real outcomes. Everyone here rolls up their sleeves — including this role.POSITION SUMMARY Braviant is looking for a hands-on engineering leader to own our full-stack application development function. You will serve as both the primary software architect and the engineering manager for a team of 6–8 full-stack developers and QA engineers, responsible for our consumer lending platform across its full lifecycle — from front-end Angular interfaces to back-end Java/Spring Boot services to cloud infrastructure on AWS. This is not a purely managerial role. We expect you to stay deeply technical: conducting architecture and code reviews, prototyping solutions, and being the person the team turns to when the hardest problems surface. You will bring the judgment to assess our current architecture — a complex, 30+ microservice environment — and develop and execute a pragmatic plan to simplify it and reduce release friction over time. This role is Addison, TX-based with a 4-day in-office requirement. The team is currently based primarily in Chicago and it might require up to 20% of travel initially. You will be the on-the-ground engineering leader helping establish the engineering culture. WHAT YOU’LL OWN Architecture & Technical Leadership Serve as Braviant’s primary software architect — owning system design, technology choices, and engineering standards across all application layers. Assess the current architecture (30+ microservices, Java/Spring Boot back end, Angular front end, AWS) and develop a pragmatic rationalization roadmap to reduce complexity and improve deployability. Stay close to the codebase: lead architecture reviews, conduct meaningful code reviews, and prototype solutions to de-risk key technical decisions. Own high-availability design for loan origination, payment processing, and transaction workflows, targeting 99.9%+ uptime SLAs. Define and evolve CI/CD pipeline strategy, release practices, and engineering quality standards. AI-Native Development Transformation Lead the transition to an AI-native development model — embedding AI-assisted development tools (e.g. GitHub Copilot, Cursor, agentic coding frameworks) into how the team designs, builds, tests, and ships software every day. Partner with the Head of AI & Automation to identify where AI-generated code, automated testing, and LLM-powered tooling can meaningfully accelerate delivery and reduce QA burden. Champion engineering practices that make AI tooling safe and auditable in a regulated consumer lending environment. Engineering Delivery Own end-to-end software development for consumer-facing and internal applications — from requirements through deployment and support. Manage the full stack: Angular front end, Java/Spring Boot microservices, AWS infrastructure (EC2, S3, SQS, CloudWatch, CodeBuild), and database layers. Own the QA function within the engineering team; define the right balance of automated testing, manual QA, and release gates. Champion security-by-design and compliance standards appropriate to a consumer lending environment (PCI, state lending regulations, CFPB-related requirements). Team Leadership & Culture Lead, develop, and retain a team of 6–8 full-stack engineers and QA professionals; set performance standards, provide mentorship, and build a culture of craftsmanship and accountability. Hire and grow the Addison-based engineering team — you will be the anchor for that office’s technical culture. Manage the engineering budget, including capex/opex planning, vendor relationships, and tooling decisions. Partner with business stakeholders and executive leadership to translate product and operational priorities into engineering plans; represent engineering at the leadership level. WHAT YOU’LL BRING Required 10+ years of software engineering experience, including at least 5 years in a senior engineering leadership role (Director, Head of Engineering, or equivalent). Deep full-stack background: strong Java/Spring Boot on the back end, experience with Angular or equivalent modern front-end frameworks, and solid command of relational databases and API design (REST, microservices, MVC). Proven software architect — you have designed production systems, made technology bets that paid off, and course-corrected ones that didn’t. Experience rationalizing or simplifying over-engineered architectures: you can diagnose why a system became complex, build stakeholder alignment around a simplification plan, and execute it without breaking production. AWS cloud infrastructure ownership: EC2, S3, SQS, CloudWatch, CodeBuild, and related services — configuration, architecture, and operations. CI/CD pipeline ownership at production scale; strong branching, review, and release practices using GitHub, Bitbucket, or equivalent. Experience with high-availability, distributed systems in a real-time transaction processing environment. Engineering budget ownership: capex/opex planning, vendor management, and resource allocation. Demonstrated ability to hire, develop, and retain engineering talent in a competitive market. Comfortable in a lean, startup-style environment with heavy workloads, competing priorities, and ambiguity — this is not a role for someone who needs a large support structure. Bachelor’s degree in Computer Science or a related field; Master’s a plus. Preferred Hands-on experience building with AI-native development tools or frameworks (GitHub Copilot, Cursor, agentic coding pipelines, LLM-assisted test generation). Experience in consumer lending, fintech, payments, or another regulated financial services technology environment. Familiarity with MCP integrations, agentic AI architectures, or building internal developer productivity platforms. Formal software architecture or cloud certification (e.g., AWS Solutions Architect). BENEFITS & PERKS Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide: Comprehensive healthcare including medical, dental, and vision coverage Generous paid time off, including PTO, sick time, and 13 company holidays 401(k) with company contribution Participation in annual discretionary bonus plan Regular team and company gatherings Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law.

🏢 Summary: Hands-on Lead Cloud Platform Engineer role focused on owning, securing, automating, and optimizing an Azure-based SaaS and AI infrastructure, including Azure Databricks and DevSecOps practices. The position covers end-to-end cloud governance, Kubernetes operations, CI/CD, security, and cost optimization in a large-scale data environment. This is a senior technical role with potential growth into technical or people leadership. 🗂️ Requirements: 7+ years in DevOps/Cloud/Platform/Infrastructure engineering, 4+ years hands-on Azure production experience, Strong Azure governance, RBAC, policies, networking, storage, monitoring, security, Experience with Entra ID and Microsoft 365 administration, Production Kubernetes experience (AKS preferred), Experience managing Azure Databricks infrastructure, CI/CD experience with Azure DevOps and/or GitHub Actions, Scripting skills (PowerShell, Azure CLI, Bash, or Python), Knowledge of cloud security principles (least privilege, secrets management, encryption, auditability), Ability to work independently and drive platform improvements 📃 Skills: Azure, Databricks, DevSecOps, AKS, Kubernetes, EntraID, Microsoft365, AzureDevOps, GitHubActions, Terraform, Bicep, ARM, PowerShell, AzureCLI, Bash, Python, ADLS, Blob, AzureSQL, KeyVault, VNets, DNS, NSG, RBAC, CI/CD, FinOps, Defender, SOC2 🏢 Description: An AI-powered consumer intelligence platform is hiring a Lead Cloud Platform Engineer (Azure, Databricks & DevSecOps). Our platform processes 50+ billion data points monthly to deliver actionable insights for leading global brands, such as Coca-Cola, Unilever, and Bayer. We run on Azure, Databricks, and GenAI workflows, and we're scaling our platform for faster delivery, stronger security, and tighter cost discipline. The Role We're hiring a hands-on cloud platform leader to own, secure, automate, and optimize our Azure-based SaaS and AI infrastructure end to end. You'll own Azure administration, Entra ID and Microsoft 365, networking, storage, Kubernetes, security, CI/CD, and FinOps, plus the cloud platform layer around Azure Databricks (networking, identity, secure access, compute governance, monitoring, and cost control). This is a hands-on role first, with a clear path to technical or people leadership as the company grows. What You'll Do • Own Azure subscriptions, governance, networking (VNets, private endpoints, DNS, NSGs), storage (ADLS Gen2, Blob), Azure SQL, Key Vault, and monitoring across all environments. • Administer Entra ID and Microsoft 365 - identities, MFA, Conditional Access, least-privilege access, and joiner/mover/leaver processes. • Manage Azure Databricks infrastructure and security: secure connectivity, networking, identity integration, compute policies, audit logging, and cost controls. • Build and improve CI/CD (Azure DevOps, GitHub Actions) and introduce Infrastructure as Code (Terraform, Bicep, or ARM) to replace manual portal changes. • Operate and secure Kubernetes/AKS environments and supporting application infrastructure. • Strengthen security and DevSecOps posture; support SOC 2 evidence, security questionnaires, and enterprise reviews. • Build monitoring, dashboards, runbooks, and incident response across the platform. • Drive Azure and Databricks cost optimization through tagging, budgets, alerts, and compute tuning. What You'll Bring: Required Qualifications • 7+ years in DevOps, Cloud, Platform, Infrastructure, or Systems Engineering, including 4+ years hands-on with Azure in production. • Strong Azure depth: subscriptions, RBAC, policies, networking, storage, monitoring, and security. • Solid experience with Entra ID and Microsoft 365 administration. • Production Kubernetes experience (AKS preferred). • Experience managing or supporting Azure Databricks infrastructure (workspace admin, compute, networking, secure storage access, identity, audit logging). • CI/CD experience with Azure DevOps and/or GitHub Actions, plus scripting (PowerShell, Azure CLI, Bash, or Python). • Strong grasp of cloud security: least privilege, secrets management, encryption, and auditability. • Proven ability to work independently, create structure, and drive improvements with minimal supervision. Nice to Have: Preferred Qualifications Experience in AI, data, analytics, or SaaS environments; Infrastructure as Code (Terraform, Bicep); SOC 2 / ISO 27001 / GDPR; Microsoft Defender for Cloud and DevSecOps tooling; FinOps and Databricks cost optimization; and working with distributed or offshore teams. What This Role Is Not This role is not a pure CI/CD role, a helpdesk-only M365 admin role, a Databricks notebook developer, a data engineering role, or a people-management role. The Opportunity • Long-term B2B contract opportunity • High Impact: We’re backed by world-class investors and work with the most iconic global consumer brands. • You’ll have ownership, with a clear path to technical or people leadership as the company grows..

🏢 Summary: Engineering leadership role to build and scale an AI Labs team developing autonomous AI agents for enterprise commerce. Responsible for defining the architecture, shipping production-grade agentic AI systems, and driving AI-assisted development at startup speed within a pre-IPO environment. The role combines hands-on technical direction with ownership of infrastructure, quality, and engineering execution. 🗂️ Requirements: Proven experience building and scaling high-performing engineering teams, Hands-on expertise in software architecture and system design, Experience shipping AI or LLM-based products to production, Deep knowledge of LLM orchestration and agent architectures, Experience with AI-assisted development tools in engineering workflows, Ownership of infrastructure efficiency, reliability, and product quality metrics, Ability to operate at startup pace with rapid release cycles, Onsite presence in Mountain View, CA 📃 Skills: LLMs, GPT-4, Claude, AgenticAI, Architecture, Orchestration, AIDevelopment, Cursor, OpenSource, Infrastructure, DistributedSystems 🏢 Description: CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week. 2,200+ Customers 10 of Top 12 CPG Companies 900+ Retailers Connected $200M+ Raised Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO.The Problem: We have thousands of enterprise users, proven product-market fit across digital shelf analytics, retail media, and sales operations, and the Fortune 100 running on our platform. That part works. Now we are building something new: autonomous AI agents that are already in customer hands and scaling fast. This is a 0-to-1 build inside a company that has the distribution, the data, and the customers to make it real. The AI Labs team operates as a startup within the company. It needs its own engineering leader. Someone who can recruit a world-class team in Mountain View, set the technical direction for agentic AI in commerce, and ship at a pace that matches the opportunity. We have engineering teams across the US, India, Canada, and the UK. Mountain View is the center of gravity for AI leadership. This role reports directly to the Founders. We ship with Claude, GPT-4, and open-source models in production. Our engineers already write the majority of code with AI. Some things are great. Some things need to be rebuilt. The next leader will know the difference. What You'll Do: Build the Future of Commerce AI Architect and evolve the platform for the agentic era. The technical foundation needs to support agents that operate autonomously across content, media, and sales. You will decide what gets built, how it gets built, and what gets thrown away. Push the frontier on AI-assisted development. We already lead most companies in AI code contribution. Claude Code, Cursor, and the next generation of agentic dev workflows should be standard across the org. As a startup, we should be ahead of everyone else on this. Ship AI agents into production with speed and reliability. Our agents are already in Fortune 100 workflows and scaling fast. Engineering needs to deliver new capabilities on a weekly cadence. Be the technical face of the company externally. Our AI Brand positioning depends on engineering leaders who can speak credibly about what we are building. Conference talks, blog posts, recruiting events. Build the Team Recruit and retain world-class engineering talent, starting with Mountain View. You will be measured on the quality of people you bring in and the quality of people you develop. Build a strong engineering leadership bench. We need senior leaders who can independently own large surface areas and represent engineering with authority across the company. Create an environment where the best engineers want to stay, grow, and recruit their friends. Every hire should raise the average. Own Engineering Execution Own product quality, infrastructure efficiency, and engineering velocity. You set the metrics, you hit them. Drive continuous improvement in margins and cost structure. We have already made dramatic improvements in infra costs and product reliability. You will own the next chapter. What You'll Bring: This is not a caretaker role. We need a builder. Here is what matters: You have built and scaled engineering teams. You have taken a team from good to great. You know how to hire senior talent, develop middle managers, and create a culture where A-players attract more A-players. Ideally you have done this at a pre-IPO company scaling through a similar inflection point. You are technical and hands-on. You can go deep on architecture discussions, review technical designs, and earn the respect of senior engineers. You do not need to write code every day, but you need to be able to tell when code is good and when it is not. You are AI-native. You personally use AI development tools. You have opinions about LLM orchestration, agent architectures, and how AI changes the software development lifecycle. You are excited about a world where AI writes most of the code and engineers focus on architecture, judgment, and customer impact. You operate with urgency. Startup pace. Weekly shipping cadence. You do not tolerate multi-month planning cycles for things that should take days. You bias for action and course-correct fast. You are a talent magnet. The best engineers you have worked with want to work with you again. You have a network of strong technical leaders you can bring in. You know the difference between hiring for pedigree and hiring for signal. You want to be in the room. This is an onsite role in Mountain View. You will work closely with the Founders, product, and customer success. Our best decisions happen face-to-face. Compensation and Benefits: Base: Competitive with top-tier Silicon Valley companies. Commensurate with experience. Equity: Significant pre-IPO stock options. This is a leadership seat and the equity reflects that. We are at a stage where senior hires still get meaningful ownership. Benefits: Full medical, dental, vision. 401(k). Unlimited PTO. Location: Mountain View, CA. Onsite. 15 minutes from Stanford campus. Why Join Now: The window is now. The company has product-market fit, revenue, and customers. The AI Labs team is being built right now. In 12 months this team will be set. The founding members will define the culture, the architecture, and the trajectory. This is that moment. Real AI, not AI theater. Most companies are bolting AI onto legacy products and calling it innovation. We are rebuilding the entire platform around autonomous agents. Our agents are already in production, already in customer workflows, already making decisions. If you want to lead a team doing real AI, this is it. Fortune 100 scale. Your decisions will directly affect how 2,200+ brands run their ecommerce. The Fortune 100 uses our platform to manage billions of dollars in commerce. This is not a sandbox. Equity upside. Pre-IPO. $200M+ raised from tier-one investors. The economics of joining at this stage, in this role, are compelling. Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.

🏢 Summary: Full Stack Engineer role in the banking sector focused on delivering production-ready solutions within a scalable microservices architecture. The position combines backend application design and frontend development, emphasizing RESTful APIs, PostgreSQL databases, and automated CI/CD pipelines. This is a long-term B2B engagement with a hybrid work model and collaboration across global engineering teams. 🗂️ Requirements: Proven commercial experience in backend application design and enterprise deployment, Strong experience working within microservices architecture, Hands-on experience building and deploying RESTful APIs, Strong proficiency in PostgreSQL schema design and querying, Experience supporting automated CI/CD production releases, Full professional English proficiency 📃 Skills: Java, ReactJS, PostgreSQL, REST, Microservices, CI/CD, Docker, Kubernetes, GCP 🏢 Description: co.brick talents — powered by AI, powered by people. Join a global engineering team within the banking sector focused on delivering high-quality production code through a scalable microservices architecture. In this Full Stack role, you will balance backend application design and frontend development while fostering a modern, high-performing engineering culture. You will collaborate across regional boundaries, address technical risks, and drive automated deployment practices to push changes to production frequently. Details Engagement Details Contract Type: B2B Allocation: Full-time workload. Start Date: ASAP / 1-month notice period acceptable. Duration: Long-term (> 12 months). Work Model: Hybrid – 6 days per month required in the Kraków office (flexible scheduling, including the option to complete all 6 days in a single block). Recruitment Process: 2 rounds (Technical Interview & Live Coding). Responsibilities Hands-on Delivery: Write, review, and ship production-ready full-stack code aligned with a distributed microservices structure. API & Database Engineering: Design, develop, and deploy robust RESTful APIs and write schemas for relational databases. Cross-Functional Collaboration: Partner with a global engineering and business network, removing delivery impediments and proactively flagging risks to program management. Process Optimization: Monitor business, engineering, and non-functional project requirements to eliminate technical debt and process inefficiencies. Requirements Senior Engineering Baseline: Proven commercial track record in backend application design, development, and enterprise deployment. Architecture: Strong experience implementing and maintaining code within a microservices ecosystem. CI/CD Mindset: Demonstrated ability to support frequent, automated production releases. API Development: Extensive hands-on experience building and deploying RESTful APIs. Database Skills: Strong proficiency in schema design and querying within PostgreSQL databases. Languages: Full professional English proficiency (the sole project language). Nice to Have Solid experience with Java , preferably using recent versions of the language. Practical familiarity with frontend development using ReactJS . Understanding of cloud-native systems, containerization, and orchestration technologies ( Docker, Kubernetes, and GCP ). Prior domain experience working within the financial or fintech/banking sector. Polish B2+

🏢 Summary: Senior AI/Full Stack Engineer role focused on building and delivering AI-powered web applications that integrate LLMs, RAG pipelines, and modern full-stack technologies. The position combines hands-on AI/ML implementation with TypeScript-based backend and React frontend development. You will design, deploy, and optimize intelligent systems running on cloud and self-hosted infrastructure. 🗂️ Requirements: 5+ years of full-stack development experience, Hands-on experience with LLM deployment and serving (cloud APIs or self-hosted), Experience building RAG systems including embeddings and vector stores, Understanding of prompt engineering and agent/tool-use patterns, Ability to evaluate model performance and make trade-off decisions, Strong experience with TypeScript and Node.js, Experience with Nest.js, Frontend development experience with React, Experience with relational databases such as PostgreSQL, Experience working with Redis, Experience using Docker, Basic knowledge of CI/CD pipelines 📃 Skills: TypeScript, Node.js, Nest.js, React, PostgreSQL, Redis, Docker, CI/CD, LLM, RAG, Embeddings, VectorDB, APIs 🏢 Description: About Webellian Webellian is a well-established Digital Transformation and IT consulting company committed to creating a positive impact for our clients. We strive to make a meaningful difference in diverse sectors such as insurance, banking, healthcare, retail, and manufacturing. Our passion for cutting-edge and disruptive technologies, as well as our shared values and strong principles, are what motivate us. We are a community of engineers and senior advisors who work with our clients across industries, playing a deep and meaningful role in accelerating and realizing their vision and strategy. About the role We are seeking a Senior AI/Full Stack Engineer to join our team and drive the development of AI-powered solutions for our clients. You will work on projects that combine modern web development with applied AI - from building intelligent agents and search systems to deploying and optimizing language models on dedicated infrastructure. This role bridges two worlds: solid full-stack engineering and practical AI/ML implementation. You'll design, build, and ship products that leverage LLMs, RAG, and other AI techniques to solve real business problems. Your responsibilities Designing and developing full-stack applications with AI capabilities Deploying, configuring, and optimizing LLMs (both cloud APIs and self-hosted) Building and maintaining RAG pipelines, vector search, and knowledge retrieval systems Integrating AI systems with external services and APIs Evaluating and selecting appropriate models and tools for specific use cases Writing clean, maintainable code with tests and documentation Proposing technical improvements and architectural decisions Supporting and mentoring less experienced team members Must-have requirements AI/ML: Hands-on experience with LLM deployment and serving (cloud APIs and/or self-hosted solutions) Experience building RAG systems (embeddings, vector stores, retrieval strategies) Understanding of prompt engineering and agent/tool-use patterns Ability to evaluate model performance and make informed trade-off decisions Full Stack: 5+ years in full-stack development with TypeScript/Node.js, Nest.js Frontend experience with React Relational databases (PostgreSQL or similar), Redis Docker, basic CI/CD Soft skills: Self-driven, able to take ownership of projects end-to-end Strong problem-solving skills English B2+ (C1 preferred) Excellent communication - able to translate technical concepts for non-technical stakeholders Nice-to-have Experience with model fine-tuning (LoRA, QLoRA) MLOps practices (experiment tracking, model versioning) Familiarity with agent frameworks (LangChain, Vercel AI SDK, or similar) Experience with GPU infrastructure and model optimization (quantization, inference tuning) AWS or other cloud provider (working knowledge) What we offer Projects at the intersection of AI and software engineering Opportunity to work with cutting-edge AI tooling and local GPU infrastructure Autonomy and ownership over technical decisions Hybrid work mode Small, collaborative team Challenging problems - no boring CRUD work

🏢 Summary: Senior AI/Full Stack Engineer role focused on building AI-powered applications using LLMs, RAG systems, and modern full-stack technologies. The position involves developing and deploying intelligent systems, integrating AI with external services, and making architectural decisions in a collaborative environment. The offer includes work with cutting-edge AI tooling, local GPU infrastructure, and high ownership over technical decisions. 🗂️ Requirements: 5+ years of full-stack development experience, TypeScript, Node.js, Nest.js, React, Experience with LLM deployment and serving, Experience building RAG systems, Understanding of prompt engineering, Understanding of agent/tool-use patterns, Experience with relational databases, Redis, Docker, Basic CI/CD knowledge, Ability to evaluate model performance, English B2+, Strong problem-solving skills 📃 Skills: AI, ML, LLMs, RAG, TypeScript, Node.js, Nest.js, React, PostgreSQL, Redis, Docker, CI/CD, Embeddings, LangChain, AWS, LoRA, QLoRA, MLOps, GPU 🏢 Description: About Webellian Webellian is a well-established Digital Transformation and IT consulting company committed to creating a positive impact for our clients. We strive to make a meaningful difference in diverse sectors such as insurance, banking, healthcare, retail, and manufacturing. Our passion for cutting-edge and disruptive technologies, as well as our shared values and strong principles, are what motivate us. We are a community of engineers and senior advisors who work with our clients across industries, playing a deep and meaningful role in accelerating and realizing their vision and strategy. About the role We are seeking a Senior AI/Full Stack Engineer to join our team and drive the development of AI-powered solutions for our clients. You will work on projects that combine modern web development with applied AI - from building intelligent agents and search systems to deploying and optimizing language models on dedicated infrastructure. This role bridges two worlds: solid full-stack engineering and practical AI/ML implementation. You'll design, build, and ship products that leverage LLMs, RAG, and other AI techniques to solve real business problems. Your responsibilities Designing and developing full-stack applications with AI capabilities Deploying, configuring, and optimizing LLMs (both cloud APIs and self-hosted) Building and maintaining RAG pipelines, vector search, and knowledge retrieval systems Integrating AI systems with external services and APIs Evaluating and selecting appropriate models and tools for specific use cases Writing clean, maintainable code with tests and documentation Proposing technical improvements and architectural decisions Supporting and mentoring less experienced team members Must-have requirements AI/ML: Hands-on experience with LLM deployment and serving (cloud APIs and/or self-hosted solutions) Experience building RAG systems (embeddings, vector stores, retrieval strategies) Understanding of prompt engineering and agent/tool-use patterns Ability to evaluate model performance and make informed trade-off decisions Full Stack: 5+ years in full-stack development with TypeScript/Node.js, Nest.js Frontend experience with React Relational databases (PostgreSQL or similar), Redis Docker, basic CI/CD Soft skills: Self-driven, able to take ownership of projects end-to-end Strong problem-solving skills English B2+ (C1 preferred) Excellent communication - able to translate technical concepts for non-technical stakeholders Nice-to-have Experience with model fine-tuning (LoRA, QLoRA) MLOps practices (experiment tracking, model versioning) Familiarity with agent frameworks (LangChain, Vercel AI SDK, or similar) React Native and knowledge of mobile development Experience with GPU infrastructure and model optimization (quantization, inference tuning) AWS or other cloud provider (working knowledge) What we offer Projects at the intersection of AI and software engineering Opportunity to work with cutting-edge AI tooling and local GPU infrastructure Autonomy and ownership over technical decisions Hybrid work mode Small, collaborative team Challenging problems - no boring CRUD work

🏢 Summary: Senior Software Engineer role focused on designing and delivering new features and PoCs end-to-end on a large-scale SaaS and data platform. The position emphasizes backend development in Python, extending a mature system, and leveraging AI/LLM tools to accelerate development and improve engineering workflows. Fully remote with high ownership and impact on product direction. 🗂️ Requirements: 7+ years of Software Engineering experience, Strong experience with Python, Experience with Django, Experience building large-scale production systems, Experience designing and maintaining REST APIs, Strong understanding of distributed systems, Strong understanding of backend architecture, Daily practical use of AI tools and LLMs in development workflows, Experience with cloud environments, Ability to independently design and deliver end-to-end solutions, Professional English proficiency 📃 Skills: Python, Django, REST, API, SaaS, LLM, AI, Cloud, DistributedSystems, Backend 🏢 Description: Does building awesome, innovative products that add up to something meaningful sound like a dream come true? Come join us and make that vision a reality! About We are looking for a product-driven Senior Software Engineer who thrives in fast-paced environments and enjoys turning ideas into practical, user-focused solutions. In this role, you will independently design and deliver new features and PoC end-to-end on top of an existing large-scale SaaS and data platform. Rather than working in a purely greenfield environment, you will extend and evolve a mature platform with new capabilities, focusing on speed, usability, and real customer value. A key part of this role is the daily use of AI and LLM-based tools to accelerate development workflows, prototyping, research, testing, and delivery. We are looking for someone who not only uses AI tools effectively but also understands how to integrate AI reasoning and automation into modern software engineering practices. Responsibilities Independently design, prototype, and deliver new features and PoCs end-to-end Translate product ideas into scalable and user-focused backend solutions Validate technical feasibility and make pragmatic architectural decisions Use AI tools, coding copilots, and LLM-based workflows to accelerate development, experimentation, and delivery Build and maintain scalable backend services and REST APIs using Python (preferably Django) Collaborate closely with Product, Design, and Engineering teams to shape and refine new features Contribute to engineering quality through code reviews, technical guidance, and knowledge sharing Continuously explore and introduce practical AI-driven workflows that improve engineering productivity and delivery speed Our offer Competitive salary on B2B contract Fully remote position Real impact and independence at work Individual career path Work-life balance A non-corporate atmosphere where innovation, personal growth, and teamwork thrive 100+ smart, curious & ambitious engineers What you bring 7+ years of experience as a Software Engineer Strong experience with Python and preferably Django Experience building and maintaining large-scale production systems and REST APIs Strong understanding of distributed systems and modern backend architecture Demonstrated daily use of AI tools and LLMs in real engineering workflows (e.g. code generation, prototyping, refactoring, testing, documentation, automation) Experience integrating with complex platforms and cloud environments Ability to independently deliver solutions with minimal supervision Strong product mindset and focus on solving real user problems Excellent communication and collaboration skills across Product, Design, and Engineering teams Curiosity, ownership, and passion for learning and experimenting with new technologies Professional level of English Nice to Have Experience mentoring or coaching engineers Experience working with data products and related scalability challenges Experience promoting AI-driven engineering practices and helping teams adopt modern AI workflows Benefits International Projects Small Teams Flat Structure Friendly Atmosphere Flexible Hours Individual Career Path We want your TALENT! Don’t hesitate and APPLY! We are happy to tell you more details about this position in a phone call. Our recruitment process is very fast and straightforward to ensure a great experience from the first interview to joining your dream team!

🏢 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: Opportunity to join a newly formed, globally distributed team building an AI-powered internal developer platform for a large-scale engineering organization. The role focuses on designing and integrating LLM-based tools and agent systems that enhance coding, testing, and deployment workflows. You will help architect and implement core AI infrastructure and integrations within a greenfield, startup-like environment. 🗂️ Requirements: Hands-on experience integrating or building with LLMs, AI agents, or coding assistants, Strong experience in Scala or another modern JVM language (Kotlin or Java 17+), Proven polyglot programming ability, Experience designing and implementing API integrations, Ability to collaborate in a distributed team across time zones, Professional English communication skills 📃 Skills: Python, TypeScript, Scala, Java, Kotlin, LLM, OpenAI, Anthropic, API, AWS, GRPC, MySQL, GitHub, Slack, Docker, Kubernetes, GCP, CI/CD 🏢 Description: We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization. About the role You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Project scope You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Think of it as an internal startup, with the freedom to innovate and the stability of an established company. Our goal is to design and build an intelligent platform that assists developers at every stage, from coding and debugging to testing and deployment. Your team will be part of a larger 10-person group, with colleagues in California, Amsterdam, and Poland, organised into three focused sub-teams. This role requires collaboration (few meetings a week) with engineers on the US West Coast to ensure our platform meets the needs of our global team. What you will do Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more). Develop intelligent, agent-based systems to automate and assist in complex software development tasks. Engineer the core infrastructure for our AI agents, including components like MCP servers. Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based. Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction. Tech stack This is a greenfield project, which means you’ll have a say in the technologies we choose. Nothing is set in stone. However, our environment and the problem space suggest we’ll be working with: Primary Languages: Python, TypeScript, Scala – based on available APIs and existing integration – but actual stack will be determined as the project progresses. The project will be based on internally developed services and solutions, utilising Scala, Java, AWS, GRPC, MySQL and more. What we expect: Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains. Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents. You should be ready to demonstrate your work or discuss your implementation experience during the interview. Strong, hands-on experience in at least one of the following: Scala, or another modern JVM language (e.g., Kotlin, Java 17+). A proactive, self-starter attitude. You take initiative, communicate clearly, and thrive in a collaborative, goal-oriented environment. Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone. Nice to have: A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows. Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS). Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side (we are not looking for model researchers or trainers) A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package And a lot more!