JB001676 GenAI Engineer Bangalore, Chennai ·

Techilaservices; India; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Techilaservices in India seeks an experienced AI/ML architect with 8-12 years in IT and 2-3 years delivering production AI solutions. You will translate complex client use cases into scalable AI systems, architect autonomous multi-agent platforms, and deploy LLM-driven solutions using LangChain, LlamaIndex, and vector databases.

Strong Python, ML frameworks, and DevOps know-how are essential. You will work with cutting-edge tooling (OpenAI API, LangGraph, CrewAI, AutoGen) to build robust,

Qualifications

• 8–12 years total IT experience with AI/ML exposure.
• 2–3 years building AI/ML solutions or production-ready AI systems.
• Experience translating client use cases into scalable AI solutions.

Responsibilities

• Translate business problems into scalable AI solutions (ML, GenAI, RAG).
• Architect and deploy autonomous multi-agent AI systems with advanced reasoning.
• Design and deploy AI solutions using LLMs with orchestration frameworks and vector DBs.
• Create tailored prompts and reasoning loops for autonomous workflows.
• Manage end-to-end model deployment from concept to production.

Skills

Python

Java

Angular/React

LangGraph

CrewAI

AutoGen

HuggingFace

LangChain

LlamaIndex

OpenAI API

TensorFlow

Keras

PyTorch

Pinecone

ChromaDB

RAG pipelines

Agentic Workflows

Deep Learning

Tools

LangGraph

CrewAI

AutoGen

LangChain

LlamaIndex

OpenAI API

Pinecone

ChromaDB

Job description

Core Responsibilities

• Total IT experience 8 - 12 years. 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 Technical Skills

• 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