Software Engineer- AI Engineer

Recruise; Chennai District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Recruise seeks an AI Engineer to design, develop, deploy, and maintain AI/ML solutions addressing business challenges. You will translate client use cases into scalable AI solutions using ML, GenAI, and RAG architectures, and architect autonomous AI systems with multi-agent capabilities and external tool execution.

Responsibilities include deploying AI solutions with LLMs (OpenAI, Google Gemini, Claude) integrated with LangChain, LlamaIndex, and vector databases, and crafting tailored prompts

Qualifications

• Experience in developing AI solutions or ML engineering.
• Experience taking AI/ML models from concept to production.
• Translate client use cases into scalable AI solutions (ML, GenAI, and RAG).
• Design and deploy autonomous AI systems with complex reasoning and task routing.
• Develop AI solutions using LLMs integrated with orchestration frameworks and vector databases.
• Write prompts and construct reasoning loops for autonomous workflows.

Responsibilities

• Develop, deploy and maintain AI/ML solutions to solve business challenges.
• Architect autonomous AI systems with multi-agent capabilities and tool execution.
• Implement LLM-based solutions with LangChain and vector stores.
• Create effective prompts and reasoning loops for workflows.
• Collaborate on full-stack integration for UI/API as needed.
• Ensure production readiness of AI pipelines and monitoring.

Skills

Python

Java

Angular/React

Agentic AI

LangGraph

CrewAI

AutoGen

LLM function calling

Hugging Face

LangChain

LlamaIndex

OpenAI API

TensorFlow

Keras

PyTorch

Pinecone

ChromaDB

RAG pipelines

Deep Learning

Containerization

CI/CD

Cloud provisioning

Tools

LangGraph

CrewAI

AutoGen

Job description

We are seeking a talented AI Engineer to design, develop, deploy, and maintain Artificial Intelligence and Machine Learning solutions that solve business challenges.

Your future duties and responsibilities

• *2 – 3 years' experience of developing AI solutions or machine learning engineering, or any related field.
• *Proven experience taking AI/ML models from concept to production.
• *Translate high level client use cases and business problems into scalable, fully functional AI Solutions (traditional ML, GenAI, and RAG architectures).
• *Architect and deploy autonomous and multi agent AI systems capable of complex reasoning, decision making, task routing, and external tool/API execution.
• *Design, develop and deploy AI solutions using LLMs (OpenAI, Google Gemini, Claude) integrated with orchestration frameworks (LangChain, LlamaIndex) and Vector Databases.
• *Write tailored prompts and construct advanced reasoning loops and chain link components for autonomous workflows.

Required qualifications to be successful in this role

• *Core Languages: Python (Required); Java and Angular/React (For full stack UI/API integration of the solution).
• *Agentic AI & Orchestration: Hands on experience with agentic frameworks (e.g., LangGraph, CrewAI, AutoGen) and LLM function calling/tool usage.
• *ML Frameworks: Hugging Face, LangChain, LlamaIndex, OpenAI API, TensorFlow, Keras, and PyTorch.
• *Data & Vector Storage: Deep understanding of Vector Databases (e.g., Pinecone, ChromaDB) and RAG pipelines.
• *AI Concepts: Agentic Workflows, Deep Learning.
• *DevOps & MLOps : Containerization, cloud resource provisioning, and basic infrastructure as code, build CI/CD pipelines build, deploy, and monitor solutions