Forward-Deployed AI Engineer

Turing Global India; Hyderabad; Hybrid; INR 4,500,000 - 6,500,000; Full time

Job summary

Turing Global India is seeking a Forward-Deployed AI Engineer for Enterprise AI in Hyderabad. The role maps to a hybrid work model (3 days in office) with full-time employment and 8+ years of experience expected.

The engineer will own customer-facing AI solutions from discovery to deployment, delivering enterprise-grade AI capabilities. The role emphasizes building production systems, solving high-value enterprise problems, and working directly with client leaders to drive measurable ROI.

Qualifications

• Deep production engineering experience with Python, backend systems, APIs, databases, distributed systems, cloud infrastructure.
• Hands-on agentic AI experience building production LLM and agent systems.
• Strong retrieval depth with embeddings, vector/hybrid search, reranking and evaluation.

Responsibilities

• Own outcomes end to end from discovery to deployment for client projects.
• Architect and build production AI systems including multi-agent workflows and RAG.
• Ensure evaluation, observability, security, reliability, latency, scalability and cost are managed.

Skills

Deep production engineering

Agentic AI experience

Retrieval depth

End-to-end ownership

Customer leadership

Client-ready communication

Job description

Job Summary

Role: Forward-Deployed AI Engineer - Enterprise AI

Location: Hyderabad

Experience Level: 8+ years

Work Model: Hybrid, 3 days per week in office

Employment Type: Full Time

Role Overview

Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you ll define the frontier by building beyond it.

You ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world s leading enterprises. As a Forward-Deployed AI Engineer, you ll own outcomes end to end-from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders.

You ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won t be for everyone, but it may be exactly the challenge you re looking for.

As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving

Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive.

Build Beyond the Frontier

Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale.

Own the Outcome

You won t simply be given a list of responsibilities-you ll have the authority to own the outcome for your client and make a real-world impact through your work. You ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost.

The Anti-Sell

High ownership and intensity: This role requires exceptional ownership and accountability. You ll work with clients who have uncompromising expectations for quality, making this a demanding environment-and an ideal proving ground for people who seek difficult, high-impact challenges.

Client-first and hybrid: This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available.

You ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you ll be expected to apply your expertise, judgment, and technical depth to create one.

Our Forward-Deployed Engineers Typically Have

• Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.


• Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.


• Strong retrieval depth: Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality.


• End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.


• Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives.


• Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.

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 AI 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.