Senior ‑Stack AI Engineer

At Stellar, we build custom AI solutions that blend the power of cutting-edge models with practical, production-ready engineering. We believe AI isn’t magic - but when done right, it is magical. We’re looking for a builder who can push the limits of what AI can do while grounding that work in the rigor of full-stack engineering.

• Design, prototype, and scale AI-native applications and agents that deliver business impact.
• Build across the full stack: front-end (React, Type Script), backend (Python, Node.js, Go), APIs, databases (SQL/No
  
  SQL/vector stores).
• Develop and optimize LLM-powered workflows including RAG patterns, embeddings, multi-agent orchestration, and context management.
• Architect and maintain infrastructure - CI/CD, Kubernetes, cloud services, and observability.
• Balance innovation with pragmatism - quickly move from proof-of-concept to production with attention to scalability, security, and maintainability.
• Optimize AI systems for performance, accuracy, latency, and cost tradeoffs.
• Collaborate with customers, engineers, product managers, and designers to translate experimentation into robust features.
• Stay hands-on with developer-first tools like Cursor, Claude Code, Copilot, and others to accelerate productivity.

• 5+ years of software engineering experience, with at least 2 years building AI-powered systems.
• Strong full-stack expertise: front-end (React, Type Script, modern frameworks), backend (Python/Node.js/Go), and databases (SQL, No
  
  SQL, vector DBs).
• Familiarity with AI development tools (Cursor, Claude Code, Git Hub Copilot, Lang Chain, CrewAI, or similar).
• Experience with cloud-native infrastructure (AWS/Azure/GCP), Kubernetes, Docker, CI/CD pipelines, monitoring, and scaling systems.
• Knowledge of LLM lifecycle - prompting, evaluation, fine-tuning, RAG, embeddings, and agent design.
• Pragmatic mindset - you know AI requires testing, observability, and fallback logic, not just prompts.
• Strong collaboration and communication skills and comfortable bridging technical and business perspectives.
• Excited to explore new ideas while delivering production-ready software.

• Work on the frontier of AI applications, not just as a user of models but as a builder of systems that make them useful.
• Join a team that values authenticity, creativity, and practical innovation.
• Shape the future of AI solutions by combining experimentation with enterprise-grade engineering.
• Expand your universe with us - literally.