4 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Work directly with customers to identify high-value opportunities, understand business workflows, and translate needs into technical direction.
- Architect and build production AI systems including multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation.
- Build and integrate APIs, data pipelines, integrations, and distributed systems for reliable operation at scale.
- Own solutions from discovery through deployment and measurable customer impact.
- Own evaluation, observability, security, reliability, latency, scalability, and cost.
- Communicate technical concepts and lead engagements with senior engineers, business executives, and client stakeholders.
Requirements
- Typically 8+ years of experience building and operating sophisticated production 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 and state, retrieval, and multistep workflows.
- Experience building and improving production retrieval systems, including embeddings, vector and hybrid search, reranking, evaluation, and retrieval-quality diagnosis.
- Track record of owning complex systems from architecture through deployment and scale, with practical knowledge of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
- Strong customer-facing communication, business acumen, technical leadership, judgment, and ability to navigate ambiguity and earn stakeholder trust.
- Candidates must currently be based in Bengaluru or Hyderabad.
Benefits
- Hybrid work model requiring three days per week in the office.
- Opportunity to work at the frontier of AI and contribute to datasets, reinforcement learning environments, and research benchmarks.
- Opportunities to contribute to leading-edge AI research and showcase work at conferences such as ICLR, ICML, and NeurIPS.
- Opportunity to apply frontier AI innovation to enterprise problems and collaborate with experienced colleagues from leading technology companies.
- High ownership, startup speed, and end-to-end impact in an initial Forward-Deployed Engineering team.
- Relocation assistance is not available.
Tech Stack
Categories
Forward Deployed
About Turing
Turing builds AI data pipelines and systems for enterprises and AI labs. It creates large-scale datasets and reinforcement-learning environments to train and evaluate models, and deploys agentic AI applications in domains like software engineering and enterprise workflows. The company also operates an AI-powered talent cloud to match and manage developers and AI trainers. Founded in 2018 and headquartered in San Francisco, it is privately held and serves Fortune 500 customers.