Lead AI Engineer – Generative & Agentic AI (Chennai)

Lead AI Engineer – Generative & Agentic AI (Chennai)

08 Sep
|
ThreatXIntel
|
Chennai

08 Sep

ThreatXIntel

Chennai

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

? Work Mode: 5 Days Work From Office

? 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 Data Scientists – Generative AI (Engineer & Lead) to join our AI Engineering team in Chennai.

The ideal candidate should have strong hands-on experience building and deploying enterprise-grade Generative AI and Agentic AI applications using LLMs, 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 production-grade Generative AI and Agentic AI applications
- Develop end-to-end GenAI pipelines from data preparation through deployment and monitoring
- Build scalable RAG pipelines, semantic search, hybrid search, embeddings, and reranking solutions
- Integrate LLMs such as GPT, Claude, LLaMA, and Mistral into production applications
- Develop AI workflows using LangChain, LlamaIndex, Hugging Face, OpenAI APIs, Anthropic APIs, and AutoGen
- Build multi-agent AI workflows and enterprise Agentic AI solutions
- Work with vector databases including Pinecone, FAISS, Milvus, Weaviate, and ChromaDB
- Optimize model inference, latency, throughput, and infrastructure cost using vLLM, Ollama, Quantization, PEFT, LoRA, and QLoRA
- Develop AI microservices, REST APIs,



GraphQL services, and Kafka-based services
- Deploy AI workloads using Docker, Kubernetes, Azure, AWS, or GCP
- Implement MLOps/LLMOps, CI/CD, monitoring, observability, and model lifecycle management
- Build multimodal AI solutions involving text, vision, speech, audio, image, and video
- Collaborate with Product, Engineering, Data Science, and Business teams

? ? For Lead Candidates
- Own technical architecture for enterprise GenAI solutions
- Provide technical leadership and mentorship
- Conduct code reviews and establish AI engineering best practices
- Lead enterprise-scale AI initiatives and drive production adoption

? Required Skills

Programming & ML: Python, SQL, Machine Learning, Deep Learning, PyTorch, TensorFlow

LLMs: GPT, Claude, LLaMA, Mistral

GenAI: Generative AI, Agentic AI, AI Agents, Multi-Agent Systems, Prompt Engineering

Frameworks: LangChain, LlamaIndex, Hugging Face Transformers, OpenAI API, Anthropic API, AutoGen

RAG & Search: RAG, Embeddings, Chunking, Semantic Search, Hybrid Search, Reranking

Vector Databases: Pinecone, FAISS, Weaviate, Milvus, ChromaDB

Model Optimization: vLLM, Ollama, Quantization, PEFT, LoRA, QLoRA

Cloud: Azure AI Foundry, Azure AI Search, Azure OpenAI, AWS, Azure, GCP

Infrastructure: Docker, Kubernetes, REST APIs, GraphQL, Kafka, Microservices, CI/CD, MLOps, LLMOps, AI Observability

⭐ Preferred

✔ Production-scale GenAI platform development

✔ Enterprise Agentic AI experience

✔ Multimodal AI experience

✔ Enterprise AI architecture

✔ Secure and scalable cloud-native AI solutions

? Interested candidates can apply with their updated profile.

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

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