Senior AI Engineer (LLMs & Agents)

• Design and build production-grade AI agents powered by Large Language Models (LLMs).
• Develop multi-agent workflows, tool-calling systems, and autonomous task execution.
• Build RAG pipelines using embeddings, vector databases, and semantic search.
• Integrate LLMs such as OpenAI GPT, Claude, Gemini, and open-source models.
• Design AI-powered marketplace features, including smart search, product recommendations, automated listings, and conversational assistants.
• Build scalable AI microservices and APIs using Python and FastAPI.
• Implement evaluation, monitoring, guardrails, and observability for AI systems.
• Optimize inference performance, latency, token usage, and infrastructure costs.
• Collaborate directly with founders to define AI strategy and technical architecture.
• Mentor engineers and establish AI engineering best practices.

• 5+ years of relevant software engineering or machine learning experience.
• Strong Python programming and backend engineering skills.
• Hands-on experience building and deploying LLM-powered applications.
• Experience with AI agent frameworks such as LangGraph, LangChain, or similar tools.
• Strong understanding of RAG, embeddings, vector search, and retrieval strategies.
• Experience with LLM tool calling, structured outputs, and orchestration.
• Knowledge of cloud infrastructure, Docker, APIs, and scalable architectures.
• Experience evaluating, testing, and monitoring AI systems in production.
• Strong system design, debugging, and problem-solving skills.

Nice to Have

• Experience with multi-agent architectures and Model Context Protocol (MCP).
• Familiarity with fine-tuning, LoRA, and open-source LLM deployment.
• Experience with vector databases such as Pinecone, Weaviate, Qdrant, or pgvector.
• Knowledge of recommendation systems, multimodal AI, and computer vision.
• Experience working in startups, marketplaces, or e-commerce platforms.
• Experience leading AI engineering projects from prototype to production.

• Build AI-first marketplace technology from the ground up.
• Own important technical and architectural decisions.
• Work on real-world challenges involving LLMs, agents, and intelligent automation.
• Collaborate directly with the founding team.
• Grow with an early-stage technology startup.
• Help shape the future of intelligent digital marketplaces.