AI Python Engineer- Bangalore- Only Immediate Joiners

Anlage Infotech (India) P Ltd; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Anlage Infotech (India) P Ltd is seeking an experienced AI/GenAI Engineer to design, develop, and deploy scalable GenAI applications using LLMs, RAG, and agentic AI frameworks. You will contribute to production-grade AI solutions and collaborate with cross-functional teams.

The role requires strong Python skills, cloud deployment exposure on Azure, AWS, or GCP, and experience with LangChain or similar orchestration tools.

Qualifications

• Experience building production-grade GenAI systems.
• Exposure to multi-agent workflows.
• Experience with AI observability tools.
• Understanding of scalable backend architecture.
• Prior work on enterprise AI products or copilots.

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).

Skills

GenAI systems

LLMs

Python

Cloud deployments

LangChain

Observability

Tools

LangChain

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).

Preferred Qualifications

• Experience building production-grade GenAI systems
• Exposure to multi-agent workflows
• Experience with AI observability tools
• Understanding of scalable backend architecture
• Prior work on enterprise AI products or copilots