{"id":22799,"url":"https://alion.io/job/tavily-forward-deployed-engineer-ecosystem","title":"Forward Deployed Engineer, Ecosystem","company":{"id":6397,"name":"Tavily","domain":"tavily.com","url":"https://alion.io/company/tavily","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":114000,"max_usd":236000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":426},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"CrewAI","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Tavily","optional":false},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Qdrant","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-07-23T08:39:58Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-17T17:19:58Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":86},"description":"About Tavily\nWe're building the search engine for AI agents. Our API powers agentic applications and real-time reasoning by connecting LLMs to high-quality, trustworthy web content. We work with some of the most innovative teams in AI - from startups shaping the ecosystem to enterprises deploying AI at scale.\nThe Team\nForward Deployed Engineering owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering, Sales, Partnerships, Developer Relations, and Customer Success.\nThe Ecosystem FDE motion focuses on Tavily’s most important technical partners across the agentic AI stack - including model providers, agent frameworks, orchestration platforms, developer tools, ISVs, and emerging AI infrastructure companies.\nThe role\nThis is a full-time, on-site role based in our New York office.\nAs a Forward Deployed Engineer, Ecosystem, you’ll work directly with Tavily’s strategic partners to design, build, and launch solutions that make Tavily a core component of the modern agent stack. You’ll partner with external engineering and product teams to create high-quality integrations, reference implementations, demos, technical content, and joint solutions that help developers and companies build better AI agents.\nYou’ll be both a builder and a technical partner. You’ll ship code, shape integration strategy, influence product direction, and help Tavily become the default search and web access layer for agentic applications across the AI ecosystem.\nYour responsibilities will include: \nWork directly with ecosystem partners, including model providers, agent frameworks, orchestration platforms, AI developer tools, ISVs, and infrastructure companies.\nDesign, build, and maintain high-quality integrations that make Tavily easy to adopt across the modern AI and agent stack.\nCreate reference implementations, example applications, SDK examples, retrieval pipelines, agent workflows, demos, and technical templates.\nCollaborate with partner engineering and product teams on integration design, technical tradeoffs, launch plans, and adoption goals.\nSupport technical partner conversations from early exploration through integration launch, developer adoption, and ongoing iteration.\nIdentify opportunities for Tavily to become embedded in partner products, frameworks, docs, templates, and developer workflows.\nTranslate ecosystem patterns and partner feedback into product and roadmap input for Tavily’s Product and Engineering teams.\nPartner with Sales, Partnerships, Developer Relations, Product, and Engineering to support strategic launches and joint technical initiatives.\nRepresent Tavily in partner reviews, technical workshops, developer communities, conferences, livestreams, and technical content.\nHelp build scalable ecosystem assets, including integration guides, demo environments, playbooks, docs, tutorials, and reusable examples.\nWe expect you to have: \n3+ years of software engineering experience, ideally in a partner-facing, developer-facing, or customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Developer Advocate, Solutions Engineer, Partner Engineer, or Sales Engineer.\nStrong hands-on engineering ability, especially with Python, APIs, SDKs, backend systems, and developer-facing integrations.\nDeep interest in the AI ecosystem and strong familiarity with the modern agent stack.\nExperience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and AI application frameworks.\nExperience with at least one major agent or LLM orchestration framework, such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, CrewAI, or similar tools.\nStrong product intuition and ability to design integrations that are technically sound, easy to use, and valuable for developers.\nExcellent written and verbal communication skills across engineering, product, partner, and developer audiences.\nAbility to create clear technical content, including documentation, tutorials, example apps, demos, and reference architectures.\nHigh autonomy, strong ownership, and comfort operating in a fast-moving startup environment.\nBased in New York City, or willing to relocate.\nBonus Points\nExperience working with model providers, agent framework teams, developer platforms, AI infrastructure companies, or major technical partners.\nExperience contributing to open-source projects, especially in the LLM, RAG, agent, or developer tools ecosystem.\nExperience building or maintaining SDKs, integrations, plugins, templates, or framework adapters.\nExperience speaking at developer conferences, hosting workshops, publishing technical content, or building developer communities.\nExperience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems.\nTrack record launching partner integrations or developer-facing technical initiatives that drove meaningful adoption.\nPrior experience at a high-growth AI infrastructure, developer tools, or open-source company.\nKey employee benefits:\nHealth insurance: 100% company-paid medical, dental and vision coverage for employees and families\n401(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\nCompensation\nWe offer competitive compensation packages. The actual compensation offered within the listed range will be determined based on job-related factors, including experience, skills, qualifications, and the level at which the candidate is hired, consistent with applicable law.\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$112,700—$183,900 USD\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.\nOn Target Earnings Range\n$112,700—$183,900 USD","description_format":"text","description_chars":6407,"description_truncated":false,"requirements":{"experience_years_min":3,"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":true,"industries":["AI Agents","AI Development Tools","AI Search"],"lifecycle":[{"event":"open","at":"2026-07-23T08:39:58Z"}],"visa":[],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":1,"p_active":0.529,"p_room":0.44,"age_days":85,"expected_fill_days":62,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/tavily-forward-deployed-engineer-ecosystem","json_url":"https://alion.io/job/tavily-forward-deployed-engineer-ecosystem.json","meta":{"generated_at":"2026-10-17T17:25:22Z","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":23978,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":6397},"rest":"https://alion.io/mcp/rest/get_company?id=6397"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftavily-forward-deployed-engineer-ecosystem"},{"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%2Ftavily-forward-deployed-engineer-ecosystem"},{"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%2Ftavily-forward-deployed-engineer-ecosystem"},{"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/tavily-forward-deployed-engineer-ecosystem\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftavily-forward-deployed-engineer-ecosystem"}]}