AI/ML Engineer

Agilisium Consulting; Pune District; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Agilisium Consulting seeks a Senior GenAI / AI-ML Engineer to design and deploy production-grade Generative AI solutions, with hands-on experience across the full lifecycle from model selection to deployment and monitoring.

You will work with Python, LangChain, LangGraph, RAG pipelines, FastAPI, and cloud platforms (AWS/Azure/GCP), integrating LLM APIs and vector databases to deliver enterprise-grade GenAI apps. 3+ years in AI/ML required; collaboration with cross-functional teams is essential.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related field (Master’s preferred).
• 3+ years of experience in AI/ML with Generative AI and LLM-based applications.
• Strong hands-on experience with Generative AI/LLMs, including integration, evaluation, optimization and deployment.
• Strong expertise in Python and building scalable AI applications.
• Hands-on experience with LangChain and LangGraph for developing LLM-powered apps.
• Experience with Retrieval-Augmented Generation (RAG) pipelines, including ingestion, embeddings, retrieval, reranking, and context management.
• Strong FastAPI experience for exposing AI/ML services and APIs.
• Experience with LLM APIs and providers (OpenAI, Azure OpenAI, Hugging Face, etc.).
• Knowledge of prompt engineering, embeddings, vector search, and LLM evaluation.
• Experience integrating GenAI with SQL/NoSQL, vector databases and enterprise data sources.
• Understanding of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Understanding of MLOps, model lifecycle, deployment, monitoring and productionization.
• Strong problem-solving and collaboration skills.

Skills

GenAI/LLM apps

Python

LangChain

LangGraph

RAG pipelines

FastAPI

LLM APIs

Prompt engineering

DB integration

Cloud platforms

MLOps

Model lifecycle

Docker/Kubernetes

AI security

Healthcare domain

Education

Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related field

Master’s degree preferred

Tools

LangChain

LangGraph

FastAPI

Docker

Kubernetes

Job description

We’re looking for a Senior GenAI / AI-ML Engineerwith strong hands-on experience in designing and deploying production-grade Generative AI solutions.

Must-have skills:

• Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related field(Master’s preferred).
  
• 3+ years of experiencein AI/ML, with significant hands-on experience in Generative AI and LLM-based applications.
  
• Strong hands-on experience with Generative AI / Large Language Models (LLMs), including model integration, evaluation, optimization, and deployment.
  
• Strong expertise in Pythonand experience building scalable AI applications and services.
  
• Hands-on experience with LangChainand LangGraphfor developing LLM-powered applications, workflows, and AI agents.
  
• Strong experience building Retrieval-Augmented Generation (RAG)solutions, including document ingestion, chunking, embeddings, retrieval, reranking, context management, and response generation.
  
• Strong hands-on experience with FastAPIfor developing and exposing AI/ML services and APIs.
  
• Experience working with LLM APIs and model providerssuch as OpenAI, Azure OpenAI, Hugging Face, Anthropic, Gemini, or equivalent.
  
• Good understanding of prompt engineering, embeddings, vector search, and LLM evaluation.
  
• Experience integrating GenAI solutions with SQL/NoSQL databases, vector databases, and enterprise data sources.
  
• Strong understanding of cloud platformssuch as AWS, Azure, or GCP and their AI/ML services.
  
• Understanding of MLOps, model lifecycle management, deployment, monitoring, and productionization of AI solutions.
  
• Strong problem-solving, communication, and collaboration skills, with the ability to work with cross-functional teams.
  

Preferred Skills

• Model Context Protocol (MCP)experience, including building or integrating MCP servers/tools with LLM applications or AI agents.
  
• Experience developing AI Agents / Agentic AI workflowsusing LangGraph or similar frameworks.
  
• Experience with multi-agent systems, tool calling, function calling, and structured outputs.
  
• Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or FAISS.
  
• Experience with LLM fine-tuning, LoRA/PEFT, or model optimization.
  
• Experience with Docker, Kubernetes, CI/CD, and cloud-native deployments.
  
• Strong understanding of AI security, data governance, responsible AI, and enterprise GenAI architecture.
  
• Life Sciences / Pharma / Healthcare domain expertiseis highly desirable.
  
• Experience integrating GenAI solutions into production-level enterprise applications.