AI Python Engineer- Mumbai- Immediate Joiner

Anlage Infotech; Mumbai; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Anlage Infotech in Mumbai, India is seeking an experienced AI/GenAI Engineer to design, develop, and deploy scalable AI-powered applications using LLMs, RAG, and agentic AI workflows. You will write robust Python code and work with cloud-native deployments.

You will build GenAI solutions on Azure, AWS, or GCP, implement observability and guardrails, and collaborate with product, engineering, and business teams. Senior roles involve mentoring juniors and guiding AI architecture decisions.

Qualifications

• Strong Python development skills for building scalable GenAI applications.
• Hands-on experience with AI orchestration frameworks and workflows.
• Exposure to cloud-native AI deployments on major cloud platforms.

Responsibilities

• Build and deploy GenAI applications using LLMs (GPT, Gemini, Llama, Mistral, Claude).
• Design and implement RAG pipelines with vector databases and embeddings.
• Develop AI agents and workflow orchestration using LangChain, LangGraph, CrewAI, AutoGen, or similar.
• Fine-tune and optimize LLM models for production use cases.
• Integrate AI services into scalable backend systems and APIs.
• Work with structured/unstructured datasets for NLP and AI workflows.
• Deploy AI solutions on Azure, AWS, or GCP.
• Build observability, monitoring, guardrails, and evaluation frameworks for GenAI systems.
• Collaborate with product, engineering, and business teams to deliver AI-driven solutions.
• Mentor junior engineers and contribute to AI architecture decisions (for senior roles).

Skills

Python development

GenAI

LLMs

RAG

AI orchestration

Cloud-native deployments

NLP workflows

Observability

Tools

LangChain

LangGraph

CrewAI

AutoGen

Job description

We are looking for an experienced AI/GenAI Engineer to design, develop, and deploy scalable AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks/workflow development. The ideal candidate should have strong Python development skills, hands-on experience with modern AI orchestration frameworks, and exposure to cloud-native AI deployments.

Key Responsibilities

• Build and deploy GenAI applications using LLMs such as GPT, Gemini, Llama, Mistral, Claude, etc.
• Design and implement RAG pipelines using vector databases and embeddings.
• Develop AI agents and workflow orchestration using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Fine-tune, evaluate, and optimize LLM models for production use cases.
• Integrate AI services into scalable backend systems and APIs.
• Work with structured/unstructured datasets for NLP and AI workflows.
• Deploy AI solutions on cloud platforms such as Azure, AWS, or GCP.
• Build observability, monitoring, guardrails, and evaluation frameworks for GenAI systems.
• Collaborate with product, engineering, and business teams to deliver AI-driven solutions.
• Mentor junior engineers and contribute to AI architecture decisions (for senior roles).