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.

What You’ll Do

• Design, prototype, and scale AI-native applications and agents that deliver business impact.

• Build across the full stack: front-end (React, TypeScript), backend (Python, Node.js, Go), APIs, databases (SQL/​NoSQL/​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.

About You

• 5+ years of software engineering experience, with at least 2 years building AI-powered systems.

• Strong full-stack expertise: front-end (React, TypeScript, modern frameworks), backend (Python/Node.js/Go), and databases (SQL, NoSQL, vector DBs).

• Familiarity with AI development tools (Cursor, Claude Code, GitHub Copilot, LangChain, 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.

Why Join Us

• 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. 🚀