Job Title: AI Implementation Engineer (On-Site)

Location: Office-based (Full-Time, In-Office)

Experience: 3–6 Years

About the Role:

We 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 Responsibilities:

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Work full-time from our development center, collaborating daily with product managers, security officers, and backend squads.

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Architect, fine-tune, and integrate AI models (OpenAI API, Anthropic, or open-source weights like Llama/Mistral) into internal core applications.

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Set up and maintain high-performance vector database implementations and data ingestion pipelines.

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Ensure strict data privacy compliance, handling tokenization and proprietary data filters under strict internal security frameworks.

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Troubleshoot live deployment bottlenecks, model drift, and latency issues via active whiteboard sessions and rapid in-person prototyping.

Required Skills & Qualifications:

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Work Mode: 100% In office commitment with daily physical attendance.

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Tech Stack: Advanced Python (FastAPI), LangChain/LlamaIndex, vector databases (Qdrant, Pinecone), and Docker containerization.

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Collaboration: Excellent verbal communication and teamwork skills for fast-paced, whiteboarding-heavy office environments.

📌 AI Implementation Engineer (Gurugram)
🏢 HyrEzy Talent Solutions
📍 Gurugram