AI Lead Engineer
2 weeks ago
We are looking for an experienced AI Engineer with deep expertise in RAG (Retrieval-Augmented Generation), NLP, and Chatbot Development, capable of leading a team of engineers and overseeing AI project architecture from concept to deployment.
Key Responsibilities
- Lead the design and implementation of AI-powered chatbots and conversational systems using LLMs.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines integrating vector databases, embeddings, and search systems.
- Architect scalable AI systems with OpenAI, LangChain, or similar frameworks.
- Work with Python, Django/FastAPI, and cloud platforms (AWS/Azure/GCP) for backend AI integration.
- Supervise and mentor a team of AI and backend engineers, ensuring timely delivery and technical excellence.
- Collaborate with product managers and stakeholders to align technical goals with business needs.
- Conduct research and prototype new AI models for text understanding, summarization, and dialogue management.
Requirements
- 6+ years of experience in AI/ML, with at least 2 years leading projects or teams.
- Proven expertise in NLP, LLM fine-tuning, and RAG-based systems.
- Strong coding skills in Python and familiarity with frameworks like LangChain, Hugging Face, and OpenAI API.
- Experience in building and deploying chatbots across platforms (web/mobile).
- Sound understanding of data pipelines, embeddings, and vector databases (Pinecone, FAISS, Chroma, etc.).
- Experience with prompt engineering, knowledge retrieval, and document QA systems.
- Excellent communication and leadership skills with a hands-on technical mindset.
Nice to Have
- Prior experience working in SaaS or product-based AI startups.
- Exposure to MLOps, model evaluation, and continuous learning systems.
- Understanding of multi-modal AI (text + audio or vision integration).
Job Type: Contractual / Temporary
Contract length: 6 months
Pay: From ₹65,000.00 per month
Benefits:
- Internet reimbursement
- Work from home
Experience:
- Rag: 5 years (Preferred)
- AI/ML: 5 years (Preferred)
Work Location: Remote
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