Description

You will lead the design and development of scalable AI/ML pipelines and intelligent applications for enterprise standards.

This role is hybrid.

Responsibilities

• Architect and implement LLM orchestration layers supporting content ideation, drafting, and editing workflows.
• Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector search, embeddings).
• Lead integration of AI solutions with backend systems and enterprise platforms via APIs and internal tools.
• Provide architectural leadership, guide offshore teams, and ensure delivery aligned with scalability, security, and governance standards.
• Partner with product and business stakeholders to translate requirements into AI-driven solutions.

Required Skills

• 8+ years of experience in AI/ML, Data Science, or Software Engineering.
• Strong Python backend development experience.
• Hands-on experience with LLM-enabled applications and Generative AI.
• Strong expertise in retrieval-based systems including RAG, vector databases, embeddings, and indexing.
• Experience building agent-based or agent-oriented AI systems.
• Proficiency in API development and backend system integration.
• AWS cloud-native development experience.
• Experience with CI/CD pipelines and environment management.
• Strong understanding of observability including logging, monitoring, and tracing.

Preferred Skills

• Experience deploying ML models in production environments.
• Exposure to enterprise AI workflows, automation, and governance models.

Key Skills

Education

Bachelor's degree