Description

Lead the design and implementation of scalable, secure, and responsible AI/ML solutions.

This role is hybrid.

Responsibilities

• Design and implement backend architectures for scalable GenAI solutions.
• Build agentic RAG pipelines with strong context management.
• Lead model grounding, fine-tuning, and distillation for enterprise AI.
• Implement observability and monitoring frameworks for AI in production.
• Drive responsible AI practices, aligning with risk and compliance policies.

Required Skills

• 10+ years of experience in building and scaling software systems.
• Expertise in backend and distributed cloud-native architectures.
• Hands-on experience with Generative AI techniques: agentic RAG, prompt context, grounding, fine-tuning.
• Strong knowledge of responsible AI, risk, and compliance frameworks.
• Proficiency in containerization (Docker) and orchestration (Kubernetes).
• Skilled in cloud platforms (AWS, Azure, GCP) for AI deployments.
• Familiarity with GenAI frameworks (e.g., LangChain, Llamaindex, Haystack).
• Experience with MLOps, CI/CD, and AI observability.

Preferred Skills

• Excellent communication and leadership skills with experience in agile delivery.

Key Skills

Education

Any Graduate