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ThreatXIntel
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Chennai · On-site · 3-5 Yrs · Oct 16
3 views
5 open roles3 posted in 7d5 in 30d
Hiring: Engineering
Job description
Overview
Company Description
Responsibilities
- We are seeking a Senior Generative AI Engineer with strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and enterprise-grade GenAI system development.
- The consultant will design, build, and deploy end-to-end Generative AI solutions across text, image, audio, and multimodal applications. This role focuses on production deployment, optimization, and scalable AI architecture design.
- Design and build end-to-end Generative AI pipelines including data collection, preprocessing, training, evaluation, and deployment
- Develop applications using generative models such as GPT, LLaMA, Claude, Stable Diffusion, and similar architectures
- Implement enterprise RAG pipelines using vector databases and embedding frameworks
- Integrate LLMs and multimodal AI systems using LangChain, LlamaIndex, Hugging Face, and API-based frameworks
- Optimize model inference performance, latency, and operational cost
- Develop intelligent AI-driven applications in collaboration with product, data science, and engineering teams
- Implement prompt engineering strategies and embedding pipelines
- Deploy models using Docker, Kubernetes, and CI/CD pipelines
- Work with cloud platforms such as Azure, AWS, or GCP
- Utilize Azure AI services such as Azure AI Foundry and AI Search where applicable
Qualifications
- Hands-on experience with GPT, LLaMA, Claude, Mistral, or similar LLMs
- Practical experience implementing RAG architectures
- Experience with LangChain, LlamaIndex, and Hugging Face Transformers
- Strong understanding of prompt engineering and embeddings
- Experience with FAISS, Pinecone, Weaviate, Milvus, or similar vector databases
- Strong Python programming skills
- Experience with PyTorch or TensorFlow
- Experience with Azure, AWS, or GCP
- Containerization using Docker and Kubernetes
- API development and CI/CD pipeline integration
- Exposure to image generation models such as Stable Diffusion or DALL·E
- Experience with multimodal systems combining text, vision, and speech
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Job application FAQ
Last updated 17 October 2026
- How do I apply for Freelance Senior Generative AI Engineer (LLM & RAG Systems) at ThreatXIntel?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. ThreatXIntel may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Freelance Senior Generative AI Engineer (LLM & RAG Systems) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Freelance Senior Generative AI Engineer (LLM & RAG Systems) remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Freelance Senior Generative AI Engineer (LLM & RAG Systems) role at ThreatXIntel?
- This is a senior Freelance Senior Generative AI Engineer (LLM & RAG Systems) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.