Shared jobSr. Staff/Staff Forward Deployed Engineer
Remote (Hyderabad) · Staff/Principal · Remote
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Job description
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.
Location: Hyderabad| Hybrid, 3 days/week in office
Level: Sr. Staff/Staff | Full Time
The Role
We're looking for a Sr. Staff Forward Deployed AI Engineer to lead some of our most ambitious enterprise AI deployments.
You'll work directly with customers to identify high-value problems and architect, build, deploy, and scale AI systems that solve them.
This is not a research, advisory, or prototype-only role. You'll operate at the intersection of Agentic AI, software engineering, systems architecture, and customer leadership, with end-to-end ownership from problem discovery through production.
You won't just advise customers on what AI could do. You'll build it.
What You'll Own
- AI systems from problem to production: Turn ambiguous, high-value customer problems into technical architectures and own them end to end — from discovery and build through deployment, scale, and measurable impact.
- Production Agentic AI: Architect and build sophisticated AI agents using orchestration, tool use, context engineering, memory/state, RAG/retrieval, and multi-step workflows.
- Engineering at enterprise scale: Build the APIs, services, data pipelines, integrations, and distributed systems around the model — while owning reliability, evaluation, observability, security, latency, and cost.
- Technical leadership with customers: Work directly with senior engineering and business stakeholders, shape requirements, challenge assumptions, and lead critical architecture decisions.
- A high engineering bar: Stay deeply hands-on — write and review production code, solve hard technical problems, and raise the quality of engineering around you.
What Makes You a Great Fit
- Strong engineering foundation: 8+ years building sophisticated production software, with deep expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud.
- Deep Agentic AI experience: You've built production LLM/agent systems and understand orchestration, tool use, state & memory, context engineering, multi-step workflows, and how these systems behave and fail in production.
- Strong retrieval depth: You understand RAG beyond the basics — embeddings, vector/hybrid search, reranking, evaluation, and how to diagnose and improve retrieval quality.
- Proven production ownership: You've taken complex systems from architecture through deployment and operation, with a strong grasp of evaluation, observability, reliability, guardrails, latency, scalability, and cost.
- Exceptional client forwardness: You can navigate ambiguity, earn trust quickly, challenge assumptions constructively, and communicate complex technical decisions equally well with senior engineers and business executives.
What Great Looks Like
You can enter an unfamiliar enterprise environment, understand the problem quickly, design the right AI architecture, build the critical pieces yourself, and lead the solution all the way to production impact.
You're equally comfortable writing production Python, architecting an Agentic AI system, debugging a retrieval pipeline, whiteboarding a distributed system, and leading a technical conversation with a senior customer executive.
You don't just know how to build with AI. You know how to make AI work in the real world.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
- Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
- Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
- Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
- Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
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