Forward-Deployed AI Engineer
Training Superintelligence· Enterprise AI Engineering
Hybrid (Hyderabad, India)Full TimePosted 3w ago
About the role
Role focused on building production AI systems for enterprise clients, owning outcomes end to end from discovery to deployment, with hybrid work in India.
Responsibilities
- Find the Problem Worth Solving: Work directly with customers to translate business needs into clear technical direction and identify high-value opportunities.
- Build Beyond the Frontier: Architect and build production AI systems including multi-agent workflows, orchestration, tool use, context engineering, memory and state, retrieval-augmented generation (RAG), APIs, data pipelines, integrations, and distributed systems.
- Own the Outcome: Lead solutions from discovery through deployment, owning evaluation, observability, security, reliability, latency, scalability, and cost while staying hands-on.
Qualifications
- 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 in production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows
- Strong retrieval depth with experience in embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality
- End-to-end systems ownership including evaluation, observability, reliability, security, guardrails, latency, scalability, and cost
- Exceptional customer and technical leadership, ability to earn trust quickly, navigate ambiguity, challenge assumptions, and communicate with senior engineers and business executives
- Client-ready communication skills to explain technical concepts clearly and work with stakeholders under pressure
Skills
Required:PythonBackend systemsSystem designCloud infrastructureAgentic AI / LLM
Benefits
- Not specified in the description
Last updated Sep 30, 2026. Interested? Apply on the company site.
About Training Superintelligence
Turing develops large-scale RL environments and data generation systems that train multimodal agents to improve model performance in coding, real-world, economically valuable tasks, and advanced STEM reasoning.
Train AIBuild AIHire AI TalentAI for BFSIEMNAIDatasetsEnterprise Knowledge WorkMultimodal
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