Forward-Deployed AI Engineer
About this job
As a Forward-Deployed AI Engineer at Turing, you will join an initial team within the Enterprise AI business unit to bridge the gap between frontier AI research and enterprise deployment. Turing works with frontier AI labs and Fortune 500 enterprises to build end-to-end agentic AI systems inside mission-critical workflows. In this role, you will own outcomes from end to end, helping global enterprises navigate ambiguity and deploy impactful generative AI solutions. A normal day involves working directly with customers to uncover business needs, translating those requirements into clear technical direction, architecting production AI systems like multi-agent workflows and RAG, and ensuring reliability, scalability, and security while collaborating with senior client leaders.
Responsibilities
- Work directly with customers to navigate ambiguity and uncover high-value opportunities.
- Translate complex business needs into clear technical direction and jointly define expected AI outcomes.
- Architect and build production AI systems including multi-agent workflows, orchestration, and RAG.
- Own solutions from discovery through deployment, remaining hands-on with evaluation, observability, and cost.
- Engage with senior client leaders to solve enterprise-grade problems for leading enterprises.
- Help write the playbook for the Enterprise AI startup-like business unit by applying technical depth and judgment.
Requirements
- Typically 8+ years of deep production engineering experience building sophisticated software systems.
- Expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
- Hands-on agentic AI experience building production LLM and agent systems.
- Practical understanding of embeddings, vector and hybrid search, reranking, and retrieval evaluation.
- Track record of end-to-end systems ownership from architecture through deployment and scale.
- Exceptional customer and technical leadership to earn trust and navigate ambiguity quickly.
- Client-ready communication skills to explain technical concepts clearly under pressure.
Good to have
- Experience contributing to leading-edge AI research
- Familiarity with publishing or showcasing work at top AI conferences such as ICLR, ICML, and NeurIPS
- Prior background working at leading technology companies like Google, Meta, or Amazon
Who should apply
This role suits highly experienced software and AI engineers with a strong background in production systems, agentic AI, and client-facing technical leadership. It demands high ownership, intensity, and the ability to thrive in a demanding, startup-like environment with uncompromising quality expectations. Candidates must currently be based in Bengaluru or Hyderabad and be able to work from the office three days a week, as relocation assistance is not available. Freshers cannot apply as 8+ years of experience is required.
Frequently asked questions
What is the primary mission of Turing as stated in the Forward-Deployed AI Engineer posting?
Turing's mission is to accelerate superintelligence to drive real economic progress by closing the loop between frontier research and enterprise deployment.
Where is the Forward-Deployed AI Engineer role located?
The role is based in Bengaluru, India, with a hybrid work model requiring 3 days per week in the office.
What kind of technical experience is required for the Forward-Deployed AI Engineer position at Turing?
Candidates typically need 8+ years of production engineering experience with Python, backend systems, APIs, distributed systems, and hands-on agentic AI experience.
Can freshers apply for the Forward-Deployed AI Engineer role at Turing?
No, freshers cannot apply because the posting specifically requires 8+ years of experience.
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