AI / ML Engineer

Experience: 2–8 Years | Type: Full-Time | Location: Pune, India (Remote / Hybrid / In office)

Job Summary

We are hiring an AI/ML Engineer to design and deploy LLM-powered applications, AI Agents, and agentic automation systems. You will work across the full lifecycle — from prototyping to production — building intelligent solutions using the latest Generative AI tools and frameworks.

Key Responsibilities
Build and deploy LLM-based applications using OpenAI, Anthropic Claude, Gemini, and Hugging Face models
Develop AI Agents and multi-agent systems using LangGraph, CrewAI, AutoGen, and MCP (Model Context Protocol)
Design and implement RAG pipelines with vector databases (Pinecone, Weaviate, ChromaDB, FAISS, Milvus)
Perform prompt engineering, fine-tuning (LoRA/QLoRA), and model evaluation
Build agentic workflows integrating external APIs, tools, and enterprise data via function/tool calling
Monitor LLM pipelines using LangSmith and LangFuse; track costs, latency, and quality
Deploy AI services using FastAPI, Docker, Kubernetes on AWS / Azure / GCP
Follow MLOps and LLMOps best practices: versioning, CI/CD, monitoring, and drift detection

Required Skills
Languages: Python (advanced), SQL
AI/ML: Machine Learning, Deep Learning, Transformer architectures
Generative AI: LLMs,



Prompt Engineering, RAG, Fine-tuning (LoRA/QLoRA)
Agents: AI Agents, Multi-Agent Systems, Agentic Workflows, MCP, Function Calling, Tool Calling
Frameworks: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen
LLM Providers: OpenAI, Anthropic Claude, Google Gemini, Hugging Face
Observability: LangSmith, LangFuse
Vector DBs: Pinecone, Weaviate, ChromaDB, FAISS, Milvus
Infra: FastAPI, Docker, Kubernetes
Cloud: AWS (Bedrock/SageMaker), Azure (OpenAI Service), or GCP (Vertex AI)
LLMOps: Model evaluation, monitoring, deployment pipelines

Preferred Skills
Hands-on experience with AI agent frameworks — LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar
Experience with MCP (Model Context Protocol) for agent integrations
Exposure to AI evaluation frameworks and red-teaming practices

Qualifications
B.E. / B.Tech / M.Tech in CS, AI/ML, Data Science, or equivalent

2–8 years in AI/ML engineering; 1–2+ years hands-on with LLMs or Generative AI

Pay: ₹400,000.00 - ₹2,000,000.00 per year

Advantages:
Adaptable schedule
Internet reimbursement
Paid sick time
Paid time off
Work from home

Work Location: Hybrid remote in Pune, Maharashtra (Pune, Pune District)

📌 Ai/ml Engineer Pune
🏢 TechLantern Solutions
📍 Pune