Lead Generative AI / Agentic AI Engineer

ThreatXIntel

Chennai District

On-site

INR 2,500,000 - 4,500,000

Full time

6 days ago

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Job summary

ThreatXIntel in Chennai is seeking experienced Data Scientists – Generative AI (Engineer & Lead) to join the AI Engineering team. You will design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions, with emphasis on LLM orchestration, RAG pipelines, vector databases, and cloud-native infrastructure.

The role demands hands-on expertise across GenAI, RAG, multi-agent AI, and MLOps, with leadership duties for Lead positions, guiding architecture, reviews, and best

Qualifications

Hands-on experience designing, developing, and deploying enterprise-grade Generative AI and Agentic AI applications.

Responsibilities

Design, build, and deploy enterprise-grade Generative AI and Agentic AI applications.
Build end-to-end GenAI pipelines from data collection, preprocessing, model development, evaluation, deployment, and monitoring.
Develop scalable Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
Integrate Large Language Models (GPT, Claude, LLaMA, Mistral) into production systems.
Develop AI workflows using LangChain, LlamaIndex, Hugging Face Transformers, OpenAI APIs, Anthropic APIs, and AutoGen.
Design and implement multi-agent AI workflows and enterprise Agentic AI solutions.
Build embedding pipelines, semantic search, hybrid search, reranking, and document intelligence solutions.
Implement vector database solutions using Pinecone, FAISS, Milvus, Weaviate, and ChromaDB.
Optimize model inference, latency, throughput, and infrastructure cost using vLLM, Ollama, quantization, PEFT, LoRA, and QLoRA.
Develop scalable REST APIs, GraphQL services, Kafka-based services, and AI microservices.
Deploy AI workloads using Docker, Kubernetes, and Azure, AWS, or GCP.
Implement enterprise MLOps and LLMOps practices, including CI/CD, testing, monitoring, observability, and model lifecycle management.
Develop multimodal AI solutions involving text, vision, image, speech, audio, and video generation using models such as Stable Diffusion and DALL·E.
Collaborate with Product, Engineering, Data Science, and Business teams to deliver enterprise AI solutions.
For Lead roles: Drive technical architecture, provide technical leadership, mentor AI engineers, perform code reviews, define AI best practices, and lead enterprise-scale AI initiatives.

Skills

Python

SQL

PyTorch

TensorFlow

GPT

LLaMA

Mistral

Tools

LangChain

Hugging Face Transformers

OpenAI API

Anthropic API

AutoGen

Docker

Kubernetes

REST APIs

GraphQL

Kafka

Job description

ThreatXIntel is a growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions.

We are hiring for our corporate client. ThreatXIntel is the official hiring partner for this requirement.

Lead: 8–12 Years

About the Role

We are looking for experienced and passionate Data Scientists – Generative AI (Engineer & Lead) to join our AI Engineering team in Chennai.

The ideal candidate will have strong hands-on experience in designing, developing, and deploying enterprise-grade Generative AI and Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Multimodal AI, and cloud-native AI infrastructure.

You will work on next-generation AI solutions involving LLM orchestration, RAG pipelines, vector databases, model serving, AI microservices, MLOps/LLMOps, and scalable cloud deployments.

Key Responsibilities

Design, build, and deploy enterprise-grade Generative AI and Agentic AI applications.
Build end-to-end GenAI pipelines from data collection, preprocessing, model development, evaluation, deployment, and monitoring.
Develop scalable Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
Integrate Large Language Models (GPT, Claude, LLaMA, Mistral) into production systems.
Develop AI workflows using LangChain, LlamaIndex, Hugging Face, OpenAI APIs, Anthropic APIs, and AutoGen.
Design and implement multi-agent AI workflows and enterprise Agentic AI solutions.
Build embedding pipelines, semantic search, hybrid search, reranking, and document intelligence solutions.
Implement vector database solutions using Pinecone, FAISS, Milvus, Weaviate, and ChromaDB.
Optimize model inference, latency, throughput, and infrastructure cost using vLLM, Ollama, quantization, PEFT, LoRA, and QLoRA.
Develop scalable REST APIs, GraphQL services, Kafka-based services, and AI microservices.
Deploy AI workloads using Docker, Kubernetes, and Azure, AWS, or GCP.
Implement enterprise MLOps and LLMOps practices, including CI/CD, testing, monitoring, observability, and model lifecycle management.
Develop multimodal AI solutions involving text, vision, image, speech, audio, and video generation using models such as Stable Diffusion and DALL·E.
Collaborate with Product, Engineering, Data Science, and Business teams to deliver enterprise AI solutions.
For Lead roles: Drive technical architecture, provide technical leadership, mentor AI engineers, perform code reviews, define AI best practices, and lead enterprise-scale AI initiatives.

Required Skills

Programming & AI