Chief Full Stack Engineer with LLM (Python, React, Cloud)

We are building AI products that use LLMs and cloud services, and we need a Chief Full Stack Engineer with LLM (Python, React, Cloud) to lead delivery end-to-end.

You will guide architecture and hands-on execution across Python, React, AWS/Azure/GCP, and AI agents using patterns like RAG and tool-use while enforcing secure SDLC. Join us to ship reliable, production-grade GenAI systems—apply now.

• *Responsibilities
• Design and deliver full-stack applications, AI agents, and platform components that speed up GenAI agent development, validation, and deployment
• Build developer tooling, CI/CD pipelines, and observability measures to enable fast and secure iteration, including evals, rollouts, and telemetry
• Apply secure SDLC and privacy-by-design principles by using threat modeling and least privilege practices
• Collaborate with product managers, UX designers, and domain experts to deliver impactful customer-focused solutions
• Utilize advanced LLM patterns such as RAG, routing, tool-use, and retrieval to improve reliability, cost efficiency, and trust metrics
• Lead architecture planning, mentor team members, and take ownership of large, complex projects
• Deliver innovative solutions that ensure safe, reliable, and cloud-native systems are deployed to production
• *Requirements
• Proven software engineering experience of 7+ years in professional environments
• Solid full-stack background paired with cloud expertise in AWS, Azure or GCP
• Deep expertise in AI agent development, backend systems, and frontend development
• Hands-on knowledge of CI/CD processes, Infrastructure as Code, site reliability engineering and secure SDLC practices
• Demonstrated ability to deliver production-grade cloud-based systems with high security and reliability
• Strong problem-solving ability, ownership mindset, and cross-functional communication skills
• Upper-Intermediate English language proficiency (B2)
• *Nice to have**
• Experience delivering software products independently or in fast-paced environments
• Skill in taking AI agents from concept to production with A/B testing, safety evaluations, and continuous improvement
• Familiarity with LangChain, LangGraph, MCP, vector/RAG systems, and OpenSearch technologies
• Understanding of LLM mechanics, failure modes, fine-tuning, and model adaptation
• Knowledge of regulatory frameworks like SOC 2 and HIPAA