Job Title: AI Engineer – LLM / RAG / Agentic AI

Experience: 3+ Years
Location: Remote Preferred
Employment Type: Contract
Contract Duration: 12+ Months / Long-Term Engagement
Work Timings: To be discussed

Job Summary

We are looking for an experienced AI Engineer with strong hands-on expertise in building and deploying LLM-powered applications, RAG systems, AI agents, document intelligence solutions, and cloud-based AI applications.

The ideal candidate should have at least 3+ years of experience in ML/AI application development, including 1–2+ years of practical experience with LLMs and Retrieval-Augmented Generation (RAG).

This is a long-term contract opportunity for candidates who can independently design, develop, evaluate, deploy, and improve production-grade AI solutions.

Key Responsibilities
- Design and implement LLM agents with:
- Tool calling
- Function calling
- Dialogue state
- Guardrails
- Safety controls
- Build high-quality RAG and retrieval pipelines involving:
- Document indexing
- Chunking
- Embeddings
- Vector search
- Hybrid retrieval
- Reranking




- Ingest and process complex documents and PDFs.
- Implement OCR and multimodal LLM-based document/image understanding.
- Handle complex document structures including:
- Tables
- Layouts
- Images
- Mixed-format content
- Design and optimize prompts, prompt templates, and few-shot examples.
- Conduct A/B testing and automated LLM evaluations.
- Measure and optimize:
- Grounding
- Hallucination
- Accuracy
- Latency
- Cost
- Deploy and monitor AI applications on cloud platforms.
- Implement appropriate observability and monitoring.
- Integrate AI agents with external tools and enterprise data sources.
- Create and maintain technical documentation, requirements, designs, and user guides.

Mandatory Skills
- 3+ years of experience building AI / ML applications.
- At least 1–2+ years of hands-on LLM and RAG experience.
- Robust programming expertise in Python.
- Hands-on experience with:
- LangChain and/or

📌 AI Engineer – LLM (India)
🏢 Kasmoprav
📍 India