Sr. AI Engineer

About the Role

We are seeking a highly skilled Senior AI Engineer with strong engineering fundamentals who can design, build, and optimize end-to-end AI/LLM systems. This role includes R&D, prototyping, and building MVPs of AI-powered products from scratch, along with developing production-ready solutions for real-world use cases.

Key Responsibilities

• Lead R&D and rapid prototyping to build AI-based products, tools, and MVPs from zero to launch.
• Architect and develop scalable, high-performance AI applications with a focus on reliability and cost efficiency.
• Integrate and leverage leading Foundation Model APIs (i.e., OpenAI, Claude, Llama).
• Build LLM workflows or agentic systems using frameworks like LangChain or LlamaIndex (i.e., any similar framework).
• Fine-tune and optimize models using common open-source tools (i.e., LoRA/PEFT, HuggingFace Transformers).
• Develop robust REST APIs using FastAPI/Flask (i.e., any Python API framework).
• Implement ASR features using standard open-source models (i.e., Whisper or similar).
• Optimize inference latency, GPU utilization, and cloud cost.
• Work with cross-functional teams to deliver real-world, production-grade AI solutions.

Required Skills

• Strong in Python, DS & Algo, OOP, and API development.
• Experience integrating multiple Foundation Model APIs (i.e., GPT, Claude, Llama).
• Practical exposure to vector databases (i.e., Pinecone, Qdrant, Weaviate, FAISS).
• Hands-on experience with LLM workflow frameworks (i.e., LangChain, LlamaIndex).
• Experience fine-tuning models using LoRA/PEFT or similar techniques.
• Solid understanding of ML fundamentals—training, evaluation, deployment.
• Experience with ASR technologies (i.e., Whisper).

Nice to Have

• Knowledge of NLP/CV concepts.
• Exposure to cloud AI platforms (i.e., AWS, GCP, Azure AI).
• Experience with Docker, GPU deployments, and inference optimization.

Job Type: Full-time

Pay: ₹1,800,000.00 - ₹2,300,000.00 per year

Work Location: In person