AI Implementation Engineer

Job Title: AI Implementation Engineer (On-Site)Location: Office-based (Full-Time, In-Office)Experience: 3–6 YearsAbout The RoleWe are seeking an on-site AI Implementation Engineer to anchor our corporate innovation lab. Working closely with our product and security teams in a physical office setting, you will deploy enterprise-grade Large Language Models (LLMs), build retrieval-augmented generation (RAG) loops, and optimize vector search indexes (e.g., Qdrant/Typesense) on-premise and in secure cloud-hybrids.Key ResponsibilitiesWork full-time from our development center, collaborating daily with product managers, security officers, and backend squads. Architect, fine-tune, and integrate AI models (OpenAI API, Anthropic, or open-source weights like Llama/Mistral) into internal core applications. Set up and maintain high-performance vector database implementations and data ingestion pipelines. Ensure strict data privacy compliance, handling tokenization and proprietary data filters under strict internal security frameworks. Troubleshoot live deployment bottlenecks, model drift, and latency issues via active whiteboard sessions and rapid in-person prototyping. Required Skills & QualificationsWork Mode: 100% On-site commitment with daily physical attendance. Tech Stack: Advanced Python (FastAPI), LangChain/LlamaIndex, vector databases (Qdrant, Pinecone), and Docker containerization. Collaboration: Excellent verbal communication and teamwork skills for fast-paced, whiteboarding-heavy office environments. Skills: cloud,api,fastapi,langchain,python,langraph,vector