We are hiring an AI/R&D Lead to spearhead advanced AI research and experimentation projects. The ideal candidate will combine hands-on machine learning engineering with a strong research mindset, contributing to both product innovation and exploration of cutting-edge AI technologies. This is a senior role that requires working with LLMs, RAG architectures, and benchmarking frameworks, while collaborating directly with international clients.
Lead research initiatives and rapid prototyping of AI architectures and hybrid models
Read, analyze, and implement state-of-the-art research papers from arXiv and other academic sources
Evaluate models using modern benchmarking frameworks (ELO, HELM, TruthfulQA, MM-Bench, etc.)
Guide the development and deployment of LLM-powered systems using RAG, chunking, and agent frameworks
Mentor team members and contribute to the technical strategy and roadmap
Communicate technical outcomes effectively to US-based clients on regular calls
Oversee model deployment on GPU-backed infrastructure using DevOps tools
Experienced professional with a background in Computer Science, AI, or a related field
Strong grasp of computer science fundamentals, system design, and advanced statistics
Proven ability to bridge research and practical implementation in AI environments
ML Frameworks: PyTorch, TensorFlow, JAX
LLMs & RAG: Document chunking, Graph-RAG, Retrieval pipelines
Agent Frameworks: LangChain, LlamaIndex, Haystack
NLP: Summarization, classification, conversational AI
Python (expert level), Flask APIs, Git
Model deployment: Docker, Kubernetes, GPU-based environments
Benchmarking: HELM, ELO, TruthfulQA, MM-Bench, etc.
Research: arXiv paper implementation, hybrid model development
Experience with evaluation tools and frameworks for multi-modal and generative AI
Exposure to ASR, OCR, or speech-to-text systems
Familiarity with LangGraph or custom workflow runtimes
Passion for cutting-edge research and practical experimentation
Strong communication and documentation skills
Ability to lead a high-performance AI team and align with product goals
Willingness to take ownership of R&D strategy and innovation
5 working days (Monday–Friday)
Market-competitive salary
Medical insurance
Provident fund
Free pick & drop service
Global exposure through client interaction and research-driven projects