Posted on: 22/12/2025
Description :
We are looking for an experienced Generative AI Lead with 7+ years of overall experience to design, build, and lead end-to-end GenAI solutions. The ideal candidate will drive AI strategy, mentor teams, and deliver scalable AI-powered applications using LLMs and modern ML frameworks.
Key Responsibilities :
- Lead the design and implementation of Generative AI / LLM-based solutions
- Architect end-to-end AI systems including data pipelines, model training, fine-tuning, and deployment
- Work with LLMs (GPT, Claude, LLaMA, Gemini, etc.) for text, chat, summarization, and code generation
- Implement Prompt Engineering, RAG (Retrieval-Augmented Generation), vector databases, and embeddings
- Collaborate with product managers, stakeholders, and engineering teams to translate business needs into AI solutions
- Mentor and guide junior ML/AI engineers
- Ensure best practices in model evaluation, performance optimization, security, and compliance
- Drive innovation by evaluating new GenAI tools, frameworks, and techniques
Required Skills & Qualifications :
- 7+ years of experience in AI/ML / Data Science / Software Engineering
- Strong hands-on experience with Generative AI and Large Language Models
- Proficiency in Python
- Experience with ML frameworks : PyTorch, TensorFlow, Hugging Face
- Strong knowledge of NLP concepts
- Hands-on experience with Prompt Engineering, RAG, LangChain / LlamaIndex
- Experience with vector databases (Pinecone, FAISS, Milvus, Weaviate)
- Experience deploying models on AWS / Azure / GCP
- Knowledge of MLOps, CI/CD, model monitoring
- Experience working with APIs, microservices, and scalable systems
Good to Have :
- Experience with fine-tuning LLMs
- Knowledge of GenAI security, guardrails, and responsible AI
- Experience with Kubernetes, Docker
- Exposure to multimodal models (text, image, audio)
Why Join Us :
- Work on cutting-edge GenAI and LLM projects
- Opportunity to lead and influence AI strategy
- Competitive salary and benefits
- High-impact role with real-world AI applications
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