Forward-Deployed AI Engineer (Enterprise AI)

About the role

Turing is hiring a Forward-Deployed AI Engineer for its Enterprise AI business unit, based in Hyderabad, India. The role is full time and hybrid, with three days per week in the office; candidates must currently live in Hyderabad or Bengaluru, and relocation assistance is not available. You will own outcomes end to end, from defining high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders.

Key responsibilities

• Work directly with customers to turn complex business needs into clear technical direction, uncovering high-value opportunities and defining the outcomes an AI solution should drive.
• Architect and build production AI systems, including multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG).
• Build the APIs, data pipelines, integrations and distributed systems that make those systems reliable at scale.
• Lead solutions from discovery through deployment, owning evaluation, observability, security, reliability, latency, scalability and cost.

Required profile

• Typically 8+ years of experience building and operating sophisticated software systems.
• Experience building production LLM and agent systems with orchestration, tool use, context engineering, memory and state, retrieval and multistep workflows.
• Track record of taking complex systems from architecture through deployment and scale.
• Ability to earn trust quickly, navigate ambiguity and communicate with senior engineers and business executives.

Required skills

• Python, backend systems, APIs, databases, distributed systems, system design and cloud infrastructure.
• Retrieval systems: embeddings, vector and hybrid search, reranking, evaluation and retrieval quality diagnosis.

What we offer

• Work at the frontier of AI, helping leading AI labs improve their models with expert datasets, RL environments and benchmarks.
• Contribute to AI research and present work at conferences such as ICLR, ICML and NeurIPS.
• Learn from colleagues with deep AI experience from Google, Meta, Amazon and other technology companies.