Ai Lead (Chandigarh)

Ai Lead (Chandigarh)

01 Aug
|
PaladinTech
|
Chandigarh

01 Aug

PaladinTech

Chandigarh

Job Title AI Engineering Lead Location Chandigarh In office Experience 4-7 years Employment Type Full-time Role Overview We are looking for an AI Lead Engineer to spearhead our artificial intelligence initiatives and provide technical leadership to a high-performing engineering team In this role you will split your time between architecting scalable AI systems hands-on coding and mentoring engineers You will be the technical anchor for our AI products ensuring we move swiftly from POC to production-grade solutions Key Responsibilities Technical Leadership Architecture Design and architect robust AI ML solutions specifically Generative AI RAG pipelines and Agentic workflows that are scalable and cost-effective Hands-on Development Actively contribute to the codebase implementing core algorithms setting up advanced RAG retrieval strategies and integrating LLMs into our product ecosystem Team Mentorship Lead code reviews enforce engineering best practices and guide junior engineers data scientists on technical problem-solving MLOps Bridge the gap between research and production Oversee model deployment monitoring and optimization latency token usage accuracy on cloud infrastructure Collaboration Work closely with Product Managers and Leadership to translate business requirements into technical AI specifications and roadmaps Requirements Required Skills Experience 4-7 years of total experience in Software Engineering or Data Science with at least 2 years dedicated to Applied AI ML or Generative AI Core Tech Stack Expert proficiency in Python and solid grasp of modern AI frameworks LangChain LlamaIndex PyTorch or TensorFlow Generative AI Expertise Proven experience building RAG Retrieval-Augmented Generation systems working with Vector Databases Pinecone Chroma Milvus and prompting tuning LLMs OpenAI Anthropic Llama System Design Strong understanding of API design FastAPI Flask database schema design SQL NoSQL and microservices architecture Leadership Experience mentoring developers leading technical sprints or managing technical decision-making for a small team Nice to Have Experience with Agentic AI frameworks LangGraph CrewAI Solid MLOps background AWS SageMaker Docker Kubernetes CI CD for ML Experience with model fine-tuning LoRA QLoRA or deploying open-source models vLLM Ollama Previous startup experience Benefits What We Offer Opportunity to define the technical direction of innovative AI-driven products A clear growth path into Principal Engineer roles A collaborative fast-paced environment where your code ships to production quickly Competitive compensation and the chance to work with the latest AI tech stack

📌 Ai Lead (Chandigarh)
🏢 PaladinTech
📍 Chandigarh

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