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Forward-Deployed AI Engineer - Enterprise AI

Turing · Bengaluru

New
Hybrid Senior 🇬🇧 English
Python LLM RAG APIs Cloud infrastructure

Job description

About the role

Turing is hiring a Forward-Deployed AI Engineer for its Enterprise AI business unit, based in Bengaluru, India. The role sits in the initial team of Forward-Deployed Engineers, who shape how the team works while solving enterprise-grade problems. 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. The position is hybrid, with three days per week in the office; candidates must currently live in Bengaluru or Hyderabad, and relocation assistance is not available.

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, and own 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 in unfamiliar environments, communicate with senior engineers and executives, and explain technical concepts clearly.

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.
  • Opportunities to contribute to AI research and present work at conferences such as ICLR, ICML and NeurIPS.
  • Collaboration with colleagues from Google, Meta, Amazon and other leading technology companies.

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Published 5 days ago

Expires 1 month from now

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Turing

Bengaluru