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Software Engineer- AI Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Tamil Nadu, India
Work mode:
Onsite
Published on:
4 September 2026
What they need
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
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