GenAI / Agentic AI Engineer & Lead

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, India

🏢 Work Mode: On-site (5 Days a Week)

💼 Employment Type: Full-time

👨 💻 Experience: 8–12 Years

About the Role

We are looking for passionate Generative AI / Agentic AI Engineers and Leads to join our AI engineering team in Chennai. This is an exciting opportunity to build and deploy production-grade AI applications using the latest Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), multimodal AI, and enterprise-scale AI infrastructure.

You will work on cutting-edge AI solutions involving LLM orchestration, vector databases, AI deployment, MLOps, cloud-native architectures, and scalable APIs.

Key Responsibilities

• Design and develop enterprise-grade Generative AI and Agentic AI applications.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Deploy and serve custom LLMs using vLLM, Ollama, quantization, and inference optimization techniques.
• Work with GPT, LLaMA, Claude, Stable Diffusion, DALL·E, and other multimodal AI models.
• Implement AI workflows using LangChain, LlamaIndex, Hugging Face, OpenAI APIs, Anthropic, AutoGen, and related frameworks.
• Build embedding pipelines, semantic search, hybrid search, reranking, and vector database solutions.
• Develop REST APIs, GraphQL services, and Kafka-based AI microservices.
• Deploy AI workloads on AWS, Azure, or GCP using Docker and Kubernetes.
• Implement enterprise MLOps/LLMOps including CI/CD, monitoring, testing, and model lifecycle management.
• Apply Prompt Engineering, PEFT, LoRA, and QLoRA for model optimization.

Required Skills

• Strong Python programming skills.
• Experience with Generative AI and Agentic AI applications.
• Hands-on experience with GPT, LLaMA, Claude, or similar LLMs.
• Experience in LangChain, LlamaIndex, Hugging Face, OpenAI APIs, Anthropic, or AutoGen.
• Strong understanding of RAG, embeddings, chunking strategies, hybrid search, and reranking.
• Experience with Vector Databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus.
• Knowledge of vLLM, Ollama, quantization, and model deployment.
• Experience with Docker, Kubernetes, AWS, Azure, or GCP.
• Familiarity with REST APIs, GraphQL, Kafka, and microservices.
• Knowledge of PyTorch or TensorFlow and enterprise MLOps practices.

Preferred Qualifications

• Experience building production-scale AI platforms.
• Hands-on experience with multimodal AI.
• Experience in Prompt Engineering, LoRA, and QLoRA.
• Familiarity with CI/CD pipelines and model monitoring.

Selection Process

• HR Interview
• Online Coding Round
• Online Technical Interview
• Final In-Person Interview (Chennai Office)

Additional Information

• Experience: 2–8 Years (Engineer) | 8–12 Years (Lead)
• Notice Period: 0–15 Days (Immediate Joiners Preferred)
• Employment Type: Full-time
• Location: Chennai
• Work Mode: 100% Work from Office (5 Days/Week)

If you're passionate about building next-generation AI systems and want to work on cutting-edge GenAI products, we'd love to hear from you!