> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Senior AI/ML Engineer — LLM & Agent Stack (Customer Facing) Canonical URL: https://nextmove.md/fde/jobs/8d01f7153b561e2b TrueFoundry posts a senior FDE role to build what the customer runs in New York, NY with no pay posted. Own core infrastructure that lets enterprise customers run production agentic AI, including stateful orchestration, model routing, observability, and policy enforcement. Read from the employer’s posting on November 6, 2026. - [TrueFoundry](https://nextmove.md/fde/companies/truefoundry) Published November 6, 2026 · Updated November 6, 2026 Pay not posted New York, NY Hybrid Senior Today Own core infrastructure that lets enterprise customers run production agentic AI, including stateful orchestration, model routing, observability, and policy enforcement. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F8d01f7153b561e2b&placement=top) - [View posting at TrueFoundry](https://app.careerpuck.com/job-board/truefoundry/job/5475191008?gh_jid=5475191008) Free for you. Upload your resume once, see which FDE postings fit you and why, and get introduced when you say so. We never share your profile with employers without your permission. ## At a glance ### Posted base pay Not posted Typical US FDE pay, the middle 50% of 2,433 postings: $160K to $225K, median $193K. ### The work Builds what the customer runs This posting is new. The rest of the reading appears within a day. ### Do you meet what the posting states? The job is in New York, NY. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## More like this [BCG](https://nextmove.md/fde/companies/bcg) ### [BCG Platinion | Lead AI Tech Architect - AI Platforms](https://nextmove.md/fde/jobs/0d4252868cd1a506) Atlanta, GA · Austin, TX · +16 more 5mo ago $190,000 [Scale AI](https://nextmove.md/fde/companies/scale-ai) ### [Staff Frontier Agents Engineer (Applied AI)](https://nextmove.md/fde/jobs/ce65194d3b4765e8) San Francisco, CA · New York, NY · +1 more 3mo ago $265,000–$331,000 [Google](https://nextmove.md/fde/companies/google) ### [Forward Deployed Engineering Intern, BS/MS, Summer 2027](https://nextmove.md/fde/jobs/acb6772e64dd876a) Sunnyvale, CA · New York, NY · +1 more 3w ago $98,000–$131,000 - [Other jobs at TrueFoundry (4)](https://nextmove.md/fde/companies/truefoundry) ## The job description from TrueFoundry Posted by TrueFoundry on Nov 6, 2026 **About TrueFoundry** ** ** Every production AI system, whether it's powering customer support, writing code, analysing financial data, or diagnosing medical conditions, needs the same foundational infrastructure.A 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. ### That infrastructure layer is being built right now. We are looking for a Senior AI/ML Engineer—LLM & Agent Stack (Customer-Facing) to join the team. ### The Problem We're Solving Companies 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. The infrastructure to support this doesn't exist yet. You can't just duct-tape together a few API calls and call it production-ready. You need a control plane that handles: - Intelligent routing with observability, cost policies, and fallback logic - Centralized tool and MCP server management with security and lifecycle controls - Agent orchestration with governance and guardrails - A unified compute layer to run self-hosted models, custom tools, and agents **AI Gateway** is the control plane: five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance. We'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. ### Role summary You’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. This is a customer-facing role where you'll work closely with TrueFoundry's enterprise customers. You may also need to write code in their environments. ### What you’ll do - Architect and implement scalable agent orchestration patterns (graph-based executors, state management, multi-agent coordination) for production workloads. - Own critical integrations: model adapters, LLM gateway hooks, vector DBs, tools & external APIs, and the platform’s LLMops flows. - Build and improve tracing, benchmarking and observability for LLMs and agents — token/cost accounting, latency p95, throughput, and correctness checks. - Drive design for safety/guardrails: moderation hooks, human-in-the-loop checkpoints, replayable audit trails and policy enforcement. - Mentor junior engineers, run design reviews, and improve engineering practices (testing, CI/CD, chaos testing for agents). - Work directly with strategic customers to prototype complex agentic solutions and translate them into product features. ### Must-have - 5–10 years of software engineering with substantial experience building distributed systems, infra, or ML platforms. - Deep practical experience integrating and deploying LLMs in production (RAG, retrieval, embeddings pipelines). - Hands-on experience with agent orchestration frameworks (LangGraph / LangChain or custom agent runtimes) and stateful workflow design. - Strong systems knowledge: Kubernetes, container orchestration, service meshes, and performance tuning. - Proven track record building observability, cost controls, and policy enforcement for production services. ### Preferred / differentiators - Experience building or contributing to open-source LLM orchestration tools (LangGraph, LangChain, or similar). - Familiarity with enterprise constraints: on-prem/cloud hybrid deployments, data residency, compliance requirements. - Background in security, privacy, or model governance for LLMs. - Demonstrated leadership in cross-functional projects and direct customer engagement. **Traits we are looking for:** ownership, ability to execute, hustle and thinking out of the box, data-driven decision making, be comfortable with more unknowns than knowns. ### Perks of Working at TrueFoundry - Join a fast-growing Series A, Bay Area-based startup building cutting-edge AI infrastructure. - Comprehensive health insurance for you and your family, including medical, dental, and vision coverage. - 401(k) retirement plan. - Flexible hybrid work, 2 days a week in the office (Tuesday & Wednesday), with flexibility around the schedule. - Lunch and snacks are on us whenever you come into the office. - Work from another TrueFoundry office for up to 1 month each year, whether that's our London or India office, if you'd like a change of scenery. [View posting at TrueFoundry](https://app.careerpuck.com/job-board/truefoundry/job/5475191008?gh_jid=5475191008) ## About TrueFoundry TrueFoundry provides an enterprise AI control plane to build, deploy, observe, and govern models, MCP tools, and agents across cloud, VPC, on-prem, and air-gapped environments. 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Email info@nextmove.md and we take it down. ## Conditions - **Location**: New York, NY - **Work arrangement**: Hybrid - **Experience requirements**: 5–10 years Employer postings · [How we read postings](https://nextmove.md/fde/method)