Forward-Deployed AI Engineer
Salary not listed • Hyderabad, Telangana, India • Full-time
Posted 1mo ago
Job Location
Hyderabad, Telangana, India
Also open in Bengaluru, Karnataka, India
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Agent Engineer
About the job
Turing's Enterprise AI unit is seeking a Forward-Deployed AI Engineer to join its initial team. This role offers the opportunity to operate with the speed and focus of a startup, defining the frontier of applied AI in the workplace. You will be responsible for identifying high-value customer problems, shaping AI solution architecture, building production systems, and directly engaging with senior client leaders. The work involves developing generative AI solutions that drive measurable impact and return on investment within large institutions, tackling intellectually challenging and high-impact problems.
Responsibilities
- Collaborate with customers to identify high-value opportunities and translate complex business needs into technical direction.
- Architect and build production AI systems, including multi-agent workflows, orchestration, tool use, context engineering, memory, state, and RAG.
- Develop APIs, data pipelines, integrations, and distributed systems for reliable AI solutions at scale.
- Own the end-to-end outcome of AI solutions, from discovery through deployment and measurable impact.
- Manage evaluation, observability, security, reliability, latency, scalability, and cost of AI systems.
- Contribute to creating new processes and playbooks within the fast-paced Enterprise AI unit.
- Build expert datasets, RL environments, and benchmarks for leading AI labs.
- Contribute to leading-edge AI research and potentially showcase work at top conferences.
Requirements
- 8+ years of production engineering experience, building and operating sophisticated software systems.
- Expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
- Hands-on experience building production LLM and agent systems using orchestration, tool use, context engineering, memory, state, retrieval, and multistep workflows.
- Experience building and improving production retrieval systems, including practical understanding of embeddings, vector/hybrid search, reranking, evaluation, and diagnosing retrieval quality.
- Track record of taking complex systems from architecture through deployment and scale.
- Practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
- Exceptional customer and technical leadership skills, including earning trust, navigating ambiguity, and constructive assumption challenging.
- Effective communication with senior engineers and business executives.
- Ability to explain technical concepts clearly, work with stakeholders, and remain calm under pressure.
- Currently based in Bengaluru or Hyderabad.