Company 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. ? Location: Chennai (Onsite – 5 Days/Week)

? Employment Type: Full-Time

? Experience:

Engineer: 5–8 Years

Lead: 8–12 Years

⏳ Notice Period: Immediate to 15 Days Preferred

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

Python

SQL

Machine Learning

Deep Learning

PyTorch

TensorFlow

Large Language Models

GPT

Claude

LLaMA

Mistral

Generative AI

Generative AI

Agentic AI

AI Agents

Multi-Agent Systems

Prompt Engineering

AI Frameworks

LangChain

LlamaIndex

Hugging Face Transformers

OpenAI API

Anthropic API

AutoGen

RAG & Search

Retrieval-Augmented Generation (RAG)

Embeddings

Chunking

Semantic Search

Hybrid Search

Reranking

Vector Databases

Pinecone

FAISS

Weaviate

Milvus

ChromaDB

Model Deployment & Optimization vLLM

Ollama

Model Quantization

PEFT

LoRA

QLoRA

Multimodal AI

Reliable Diffusion

DALL·E

Image Generation

Vision AI

Speech AI

Audio AI

Video Generation

Cloud & Azure

Azure AI Foundry

Azure AI Search

Azure OpenAI

AWS

Azure

GCP

DevOps & Infrastructure

Docker

Kubernetes

REST APIs

GraphQL

Kafka

Microservices

CI/CD

MLOps

LLMOps

AI Observability

Model Monitoring

Preferred Qualifications

Experience building production-scale Generative AI platforms.(PYTHON)

Experience with enterprise Agentic AI systems.

Hands-on experience with multimodal AI applications.

Strong understanding of enterprise AI architecture.

Experience with secure and scalable cloud-native AI solutions.

📌 Lead Generative AI / Agentic AI Engineer (Chennai)
🏢 ThreatXIntel
📍 Chennai