Senior/Lead AI engineer

We are seeking a Senior / Lead AI Software Engineer to join an advanced R&D innovation initiative building a next-generation meta-prompting, context engineering, and centralized knowledge management system for AI coding agents.

In this hands-on engineering role, you will build and implement production-grade, LLM-powered applications that provide structured context—rules, skills, workflows, and sub-agents—to guide AI systems with a deep understanding of system architecture, domain constraints, and engineering standards. As a technical lead on the squad, you will write robust code for developer-facing AI infrastructure, build advanced RAG pipelines, accelerate project onboarding by reverse-engineering architecture and domain context, and mentor mid-level developers in a fast-paced R&D environment.

Responsibilities

• Design, build, and deploy production-grade LLM-powered services, microservices, and APIs using Python and TypeScript.
• Implement advanced meta-prompting frameworks, controlling and guiding models through formalized languages, and prompt optimization techniques to ensure deterministic, context-aware AI outputs.
• Develop scalable Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases such as Pinecone, Weaviate, or ChromaDB for deep context engineering and semantic code search.
• Orchestrate LLM workflows using frameworks such as LangChain or LlamaIndex to connect multi-agent tools, system constraints, and domain knowledge bases.
• Implement automated testing, LLM evaluation, and quality assurance frameworks to benchmark model performance, accuracy, and output consistency.
• Build containerized microservices and automated CI/CD pipelines using Docker to support seamless deployment and sandboxed execution.
• Act as a hands-on Senior Developer and Mentor, guiding mid-level engineers, establishing coding standards, and conducting thorough code reviews.

Minimum Requirements

• 5+ years of commercial software development experience, with a proven track record of writing production-grade code in both Python and TypeScript.
• Strong hands-on experience integrating major LLM APIs, including OpenAI and Anthropic Claude, into production software.
• Deep expertise in meta-prompting, model control via formalized languages, advanced prompt engineering, and context window optimization.
• Practical experience building and deploying Retrieval-Augmented Generation (RAG) systems using vector databases, such as Pinecone, Weaviate, or ChromaDB.
• Solid hands-on experience with LLM orchestration frameworks including LangChain, LlamaIndex, or similar, and embedding models.
• Demonstrated experience developing automated testing, evaluation, and observability pipelines for AI/LLM applications.
• Strong proficiency in containerization with Docker, API design, and CI/CD automation pipelines.
• Experience as a Senior/Lead Developer or Technical Mentor in a fast-paced R&D environment.
• Excellent problem-solving skills, software engineering discipline, and written/verbal English communication capabilities.

Would Be a Plus

• Experience with multi-agent architecture, agent orchestration, and progressive disclosure patterns in AI applications.
• Practical knowledge of Model Context Protocol (MCP) or emerging context-sharing standards for AI agents.
• Hands-on experience with LLM-as-a-Judge evaluation methodologies and A/B testing frameworks for GenAI systems.
• Experience building developer tools, CLI utilities, or software development kits (SDKs).
• Familiarity with OAuth/OIDC security and enterprise authentication protocols.

Benefits

• Opportunity to work on bleeding-edge projects.
• Work with a highly motivated and dedicated team.
• Competitive salary.
• Flexible schedule.
• Benefits package including medical insurance and sports.
• Corporate social events.
• Professional development opportunities.
• Well-equipped office.