Senior Artificial Intelligence Engineer

Role: Senior AI Engineer

Experience: 8+ Years

Notice period: Only Immediate to 15 days ( Who are serving notice period preferred)

Duration: 6 Months Contract

Location: Fully Remote (India)

Work Hours:

• March - November: 12:30 PM 9:30 PM IST
• NovemberMarch: 1:30 PM – 10:30 PM IST

Overview:

Deep expertise in LLM implementation, RAG architectures, prompt engineering, retrieval optimization, and semantic search
Experience processing unstructured content using OCR, chunking strategies, embeddings, reranking, and document intelligence workflows
Hands-on builder who has developed and deployed AI applications in production rather than purely research or data science environments

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, multimodal LLM image understanding (sending full images to an LLM to describe, detect structure, and extract context), 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 & Communication: Creating and maintaining the written project documentations including requirements, technical designs, test plans, runbooks, release notes, user guides, risk/issue logs, change records, status updates, meeting notes, incident/outage notices, and decision summaries

Skills

Business & Communication

• Demonstrated business analysis skills with 3+ years of experience leading customer/client facing workshops and discussions
  Excellent written and verbal communication skills, with the ability to present complex ideas clearly to both technical and non-technical audiences
• LLM / AI
• 3+ years building ML/AI applications, including 2+ years with LLMs + RAG
  Practical understanding of AI and automation technologies, including RPA, generative AI, and intelligent automation platforms

Programming & Frameworks

Strong Python
Experience with LangChain/LlamaIndex, Hugging Face

Search, Retrieval & Vector Databases

Hands-on with vector databases (Qdrant/Milvus/ElasticSearch), semantic search, and rerankers
Practical expertise in chunking strategies (semantic, layout-aware) and embedding selection/tuning

Document Processing:

Experience processing complex documents: table extraction, layout parsing, OCR, and multimodal LLM-based image description/structure detection

Integrations & Cloud:

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

Analytical & Delivery

Proven ability to evaluate and prioritize opportunities, with strong analytical thinking and structured problem-solving skills
Experience working in an agile or iterative delivery environment, with the ability to manage competing priorities and adapt to changing requirements