Gen AI Engineer

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 applications and LLM-powered solutions. The ideal candidate will have strong hands-on experience in Python, LLMs, RAG, embeddings, vector databases, AI agents, multimodal AI, modern GenAI frameworks, and cloud deployment.

You will work closely with Data Science, Product, and Engineering teams to build scalable enterprise AI solutions using both commercial and open-source models.

Key Responsibilities

• Design and build end-to-end Generative AI pipelines, from data preparation and retrieval to model evaluation and production deployment.
• Develop production-grade applications using LLMs, RAG, AI agents, and multimodal AI.
• Integrate commercial and open-source LLMs such as GPT, LLaMA, Claude, and Mistral.
• Build RAG pipelines using document processing, chunking, embeddings, semantic search, reranking, and retrieval techniques.
• Design and implement solutions using vector databases such as FAISS, Pinecone, Weaviate, and Milvus.
• Develop GenAI applications using LangChain, LlamaIndex, Hugging Face Transformers, or equivalent frameworks.
• Implement prompt engineering, prompt optimization, model evaluation, and fine-tuning techniques.
• Develop and integrate AI services through REST APIs, microservices, and scalable application architectures.
• Optimize LLM applications for latency, inference performance, throughput, scalability, reliability, and cost efficiency.
• Deploy and manage AI workloads using Docker, Kubernetes, CI/CD pipelines, and cloud platforms.
• Work with Azure AI Foundry, Azure AI Search, and other Azure AI services.
• Integrate multimodal AI capabilities involving text, vision, audio, and speech.
• Evaluate and integrate open-source AI/ML models and frameworks for enterprise use cases.
• Apply MLOps and LLMOps practices for monitoring, evaluation, deployment, versioning, and continuous improvement.
• Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.

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.

• Strong 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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