{"id":2242333,"url":"https://alion.io/job/nebius-forward-deployed-engineer-ecosystem-2","title":"Forward Deployed Engineer, Ecosystem","company":{"id":6364,"name":"Nebius","domain":"nebius.com","url":"https://alion.io/company/nebius","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":135,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":179500,"max":224300,"currency":"USD","period":"year","gross":null,"usd_annual":224300},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CrewAI","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"KV Cache","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NVIDIA NeMo","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"SGLang","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TensorRT","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"vLLM","optional":false},{"name":"Anthropic","optional":true},{"name":"FastAPI","optional":true},{"name":"Milvus","optional":true},{"name":"OpenAI","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Qdrant","optional":true},{"name":"smolagents","optional":true},{"name":"Transformers","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-05-05T22:36:19Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T06:25:33Z","board_verified":true,"closed_at":null,"days_open":159,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":159},"description":"About Nebius:\nNebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.\nBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\nListed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.\nThe role\nNebius builds the infrastructure serious AI teams run on - GPU clusters, inference runtimes, agent development environments, data pipelines - all of it purpose-built for the most demanding AI workloads. What we are now building is the ecosystem function that ensures the best AI companies choose to build on us, integrate with us, and stay. \nAs a Forward Deployed Engineer, Ecosystem, you will sit at the intersection of solution architecture and hands-on engineering. You assess how partner products actually work on our stack, define the reference architecture for each integration, build the working prototype that proves it, and translate what you find into product requirements that shape what Nebius ships next. \nYour responsibilities will include:\nSolutioning & Architecture \nDesign and prototype integrations between partner products and the Nebius platform - fast, hands-on, and technically sound\nDefine reference architectures for partner integrations - not just what works, but how it should work at scale and in production\nScope partner architectures against our platform - how does this product actually work on our stack, where does it snap together, where does it break\nBuild production-quality proof-of-concepts across the AI stack including agentic pipelines, RAG architectures, inference optimization patterns, and multi-model orchestration\nProduce working proof-of-concepts that serve as the starting point for product creation - not a requirements doc, a working thing\nMaintain a library of reference architectures and integration patterns that internal product and engineering teams can build from \nTechnical Partner Scoping \nWork directly with partner engineering teams to scope, prototype, and progress integrations\nAssess partner architectures honestly - if the integration is painful, that is signal; if it snaps together in a weekend, that is also signal; report both\nProvide technical guidance to partners on how to maximize performance, reliability, and cost efficiency on Nebius infrastructure\nProduce technical scoping that gives your pod partner and internal teams a clear picture of integration feasibility, depth, and complexity \nInternal \nTranslate external integration findings into actionable product requirements for Nebius platform teams\nWork with ISV partners, SI teams, and field teams to scale solution adoption and drive revenue once a solution is ready\nSurface recurring architectural patterns and integration gaps to inform platform roadmap decisions\nParticipate in platform planning as the technical voice of what you are seeing and building in the field \nEcosystem Presence \nRepresent Nebius at hackathons, in open source communities, and at technical events\nBuild in public - demos, reference architectures, and integrations that establish Nebius as the platform serious AI builders choose\nStay current with the AI tooling ecosystem - you know what shipped last week and what it means for our stack \nPlatform focus areas: \nDepending on your background and mutual fit, you will focus on one or more of the following: \nAgentic - agent frameworks, memory systems, tool integration, orchestration, MCP, guardrails\nManaged Inference - inference runtimes, model serving, optimization tooling, speculative decoding, KV-cache routing\nIaaS / Managed Infrastructure - cloud-native integrations, GPU orchestration, enterprise platform connectors\nData - vector databases, retrieval systems, RAG architectures, data pipeline integrations, synthetic data tooling \nWe expect you to have:\n6+ years of hands-on engineering experience in AI application development, ML systems, or AI infrastructure\nDeep working knowledge of the AI developer stack - LLM APIs, inference runtimes, orchestration frameworks, vector databases, RAG architectures, agentic pipelines - built through shipping, not reading\nHands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent\nStrong Python programming skills and comfort prototyping end-to-end AI systems quickly\nExperience defining reference architectures and technical patterns - not just implementing them\nProven ability to move from idea to working prototype fast - you have shipped meaningful things under time pressure and found it energizing\nExperience building integrations across APIs and developer platforms - you understand where the complexity actually lives\nComfortable working across both external partner engineering teams and internal Nebius product and engineering teams simultaneously\nStrong technical communication - you can explain architecture decisions and integration findings to a founding CTO and a non-technical partner lead in the same day \nIt will be an added bonusif you have: \nExperience with inference frameworks and optimization: vLLM, SGLang, TensorRT-LLM, speculative decoding, quantization, batching, KV-cache routing\nFamiliarity with NVIDIA's software stack: CUDA, TensorRT, NeMo, or equivalent\nExperience with multimodal AI models - vision-language, speech, or structured data\nWon or placed at major AI hackathons in the past 12 months\nWorked as a developer advocate, solutions engineer, or technical partner manager at a leading AI platform or developer tooling company\nBeen an early engineer at a YC-backed AI startup - you built the product under real constraints\nOpen source projects or public demos with meaningful community adoption\nProficiency with DevOps tools: Docker, Kubernetes, Git \nPreferred technical stack: \nLanguages - Python\nML frameworks - vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI / Anthropic SDKs\nAgentic frameworks - LangChain, LangGraph, CrewAI, AutoGen, smolagents, or equivalent\nVector databases - Qdrant, Weaviate, Milvus, pgvector\nAPI and web frameworks - FastAPI, Flask\nDevOps - Kubernetes, Docker, Git\nCloud platforms - AWS, GCP, Azure \nKey Employee Benefits:\nHealth Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.\n 401(k) Plan: Up to 4% company match with immediate vesting.\nParental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.\nRemote Work Reimbursement: Up to $85/month for mobile and internet.\nDisability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.\nPay Transparency\nWe offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.\nBase Compensation Range\n$179,500—$224,300 USD\nBenefits & Perks:\nCompetitive compensation\nCareer growth and learning opportunities\nFlexibility and ownership\nCollaborative and innovative culture\nOpportunity to work on impactful AI projects\nInternational environment and talented teams\nWhat's it like to work at Nebius:\nFast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI \nEqual Opportunity Statement:\nNebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.\nApplicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. \nIf you need accommodations during the application process, please let us know.","description_format":"text","description_chars":8501,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health insurance","Insurance coverage","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commerce","Education","Data Centers & Colocation"],"lifecycle":[{"event":"open","at":"2026-10-11T01:05:42Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.1,"p_room":0.28,"age_days":159,"expected_fill_days":32,"reasons":["conf:0","stale_co","win:tail","crowd:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":224300,"is_top_pay":true},"html_url":"https://alion.io/job/nebius-forward-deployed-engineer-ecosystem-2","json_url":"https://alion.io/job/nebius-forward-deployed-engineer-ecosystem-2.json","meta":{"generated_at":"2026-10-12T11:02:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":17038,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6364},"rest":"https://alion.io/mcp/rest/get_company?id=6364"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnebius-forward-deployed-engineer-ecosystem-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnebius-forward-deployed-engineer-ecosystem-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnebius-forward-deployed-engineer-ecosystem-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nebius-forward-deployed-engineer-ecosystem-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnebius-forward-deployed-engineer-ecosystem-2"}]}