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.

About the Role

We are looking for an experienced Generative AI Engineer to design, develop, and deploy production-grade AI solutions using LLMs, RAG, multimodal AI, and modern GenAI frameworks.

The ideal candidate should have strong hands-on expertise in Python, LLMs, RAG, embeddings, vector databases, LangChain/LlamaIndex, cloud platforms, and AI application deployment.

Key Responsibilities

- Design and build end-to-end Generative AI pipelines from data preparation to model evaluation and production deployment.
- Develop enterprise-grade applications using LLMs, RAG, AI Agents, and multimodal AI models.
- Integrate models from OpenAI, Anthropic, Mistral, LLaMA and other LLM providers.
- Build RAG solutions using embeddings, vector databases, semantic search, and retrieval pipelines.
- Work with frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers.
- Optimize model inference performance, response latency, scalability, and cost efficiency.
- Develop and integrate AI services through REST APIs and microservices.
- Deploy and manage AI workloads using Docker, Kubernetes, CI/CD, and cloud platforms.
- Work with Azure AI Foundry, Azure AI Search, and other Azure AI services.
- Explore and integrate multimodal AI capabilities across text, vision, and speech.
- Collaborate with Data Science, Product, and Engineering teams to build scalable AI-driven applications.

Required Skills





- 4–8 years of relevant experience in AI/ML, Data Science, or Generative AI Engineering.
- Strong programming skills in Python.
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Strong experience implementing RAG architectures.
- Experience with LangChain, LlamaIndex, or equivalent LLM orchestration frameworks.
- Robust understanding of embeddings, semantic search, and vector databases.
- Experience with FAISS, Pinecone, Weaviate, Milvus, or equivalent technologies.
- Knowledge of PyTorch or TensorFlow.
- Experience with Hugging Face Transformers and open-source LLMs.
- Understanding of prompt engineering and LLM evaluation.
- Experience with AWS, Azure, or GCP.
- Exposure to Azure AI Foundry and Azure AI Search.
- Experience with REST APIs, Docker, Kubernetes, and CI/CD pipelines.
- Understanding of MLOps / LLMOps practices.

Good to Have

- Experience with Stable Diffusion, DALL·E, Midjourney, or other image-generation models.
- Experience with multimodal AI involving text, image, and speech.
- Experience optimizing LLM applications for latency, throughput, scalability, and cost.
- Experience deploying GenAI applications in enterprise environments.

? Work Location: Chennai

? Work Mode: Full-Time | Onsite

? Experience: 4–8 Years

If you are passionate about building real-world Generative AI applications and production-scale LLM systems, we would like to hear from you.

? Apply now / Share your profile with us.

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📌 GENERATIVE AI ENGINEER (Chennai)
🏢 ThreatXIntel
📍 Chennai