Artificial Intelligence Engineer with Pharama(MUST)

Role: AI Engineer (Must have Exp in Pharma industry) ---Don't APPLY Healthcare

Location: PAN India (Remote)

Timings -- 1:30 PM IST to 10:30 PM IST

Key Responsibilities

• Conversational Agents: Implement LLM agents with tool/function calling, dialogue state, guardrails, and safety.
• RAG Pipelines: Build indexing, chunking, embeddings, reranking, and hybrid retrieval for high-precision answers.
• Document AI: Ingest and parse complex PDFs using OCR and multimodal LLM image understanding (sending full images to an LLM to describe, detect structure, and extract context) plus table extraction and layout-aware parsing.
• Prompt Engineering: Design and iterate prompts, templates, few-shot examples; run A/B and automated evaluations.
• Evaluation & Operations: Measure grounding, hallucination, latency, and cost; deploy and monitor in cloud with observability.
• Project documentation and communication: Creating and maintaining the written project documentations including requirements, technical designs, test plans, runbooks, release notes, user guides, risk/issue logs, and change records, as well as status updates, meeting notes, incident/outage notices, decision summaries,

Skills

Essential

• Demonstrated business analysis skills with 3+ years of experience leading customer/client facing workshops and discussions.
• 3+ years building ML/AI applications, including 1–2+ years with LLMs + RAG.
• Strong Python; experience with LangChain/LlamaIndex, Hugging Face.
• Hands-on with vector databases (Qdrant/Milvus/ElasticSearch), semantic search, and rerankers.
• Practical expertise in chunking strategies (semantic, layout-aware) and embedding selection/tuning.
• Experience processing complex documents: table extraction, layout parsing, OCR, and multimodal LLM-based image description/structure detection.
• Experience integrating tools and data sources via protocols like MCP (or similar agent-tool frameworks).
• Solid prompt engineering and cloud deployment (AWS/Azure/GCP), containers, and CI/CD.

Desirable

• Sound understanding of emerging developments in AI, including generative AI and agentic AI, to support the framing of innovative aspirations and solutions.
• Experience in the pharmaceutical industry.