{"id":2776667,"url":"https://alion.io/job/truefoundry-senior-aiml-engineer-llm-agent-stack","title":"Senior AI/ML Engineer: LLM & Agent Stack","company":{"id":6811,"name":"TrueFoundry","domain":"truefoundry.com","url":"https://alion.io/company/truefoundry","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"CI/CD","optional":false},{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"Zscaler","optional":false}],"status":"live","first_seen_at":"2026-09-28T18:03:37Z","employer_posted_date":null,"last_verified_at":"2026-09-28T18:03:37Z","board_verified":false,"closed_at":null,"days_open":19,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":19},"description":"About TrueFoundry\n\nEvery production AI system, whether it's powering customer support, writing code, analyzing financial data, or diagnosing medical conditions, needs the same foundational infrastructure.\n\nA way to route between models. A way to manage tools and integrate them securely. A way to orchestrate agents and enforce governance. A unified compute layer to run it all.\n\nThat infrastructure layer is being built right now.\n\nWe are looking for a Senior AI/ML Engineer: LLM & Agent Stack to join the team.\n\nThe Problem We're Solving\n\nCompanies are moving beyond simple chatbots to production agentic systems. These systems route between OpenAI, Anthropic, Google, and self-hosted models. They integrate dozens of tools via protocols like MCP. They orchestrate multi-agent workflows where agents coordinate with other agents.\n\nThe infrastructure to support this doesn't exist yet. You can't just duct-tape together a few API calls and call it production-ready.\n\nYou Need a Control Plane That Handles\n\nIntelligent routing with observability, cost policies, and fallback logic\nCentralized tool and MCP server management with security and lifecycle controls\nAgent orchestration with governance and guardrails\nA unified compute layer to run self-hosted models, custom tools, and agents\n\nAI Gateway is the control plane, a five-composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance.\n\nWe're Series A, backed by Intel Capital and Sequoia. Companies like CVS, Mastercard, Siemens, Paytm, Synopsys, and Zscaler run production AI workloads on our platform.\n\nRole Summary\n\nYou'll design and own core components that enable enterprise customers to run production agentic AI safely and efficiently on TrueFoundry. This includes building robust orchestration for multi-step agents (graph/stateful workflows), model/routing logic, observability and policy enforcement (cost, data residency, rate limiting), and integrating upstream tooling like LangGraph, LangChain, vector stores, and specialized LLM runtimes.\n\nWhat You'll Do\n\nArchitect and implement scalable agent orchestration patterns (graph-based executors, state management, multi-agent coordination) for production workloads. \nOwn critical integrations: model adapters, LLM gateway hooks, vector DBs, tools & external APIs, and the platform's LLMops flows. \nBuild and improve tracing, benchmarking and observability for LLMs and agents, token/cost accounting, latency p95, throughput, and correctness checks. \nDrive design for safety/guardrails: moderation hooks, human-in-the-loop checkpoints, replayable audit trails and policy enforcement. \nMentor junior engineers, run design reviews, and improve engineering practices (testing, CI/CD, chaos testing for agents). \nWork directly with strategic customers to prototype complex agentic solutions and translate them into product features. \n\nMust-have\n\n4–10 years of software engineering with substantial experience building distributed systems, infra, or ML platforms. \nDeep practical experience integrating and deploying LLMs in production (RAG, retrieval, embeddings pipelines). \nHands-on experience with agent orchestration frameworks (LangGraph / LangChain or custom agent runtimes) and stateful workflow design. \nProven track record building observability, cost controls, and policy enforcement for production services. \n\nPreferred / Differentiators\n\nExperience building or contributing to open-source LLM orchestration tools (LangGraph, LangChain, or similar). \nFamiliarity with enterprise constraints: on-prem/cloud hybrid deployments, data residency, compliance requirements. \nBackground in security, privacy, or model governance for LLMs. \nDemonstrated leadership in cross-functional projects and direct customer engagement. \n\nQualifications & Signals We Like\n\nOpen-source contributions, architecture blogs, or public talks on agentic LLMs or LLMops. \nExamples of productizing research or shipping complex infra features. \n\nTraits we are looking for: Ownership, ability to execute, hustle and think out of the box, data-driven decision making, be comfortable with more unknowns than knowns.\n\nPerks of Working at TrueFoundry\n\nJoin a fast-growing Series A, Bay Area-based startup building cutting-edge AI infrastructure.\nComprehensive health insurance for you and your family.\nFlexible hybrid work, 3 days a week in the office (Tuesday, Wednesday and Thursday), with flexibility around the schedule.\nLunch and snacks are on us whenever you come into the office.\nWork from another TrueFoundry office for up to 3 months each year, whether that's our London or Bay Area office, if you'd like a change of 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