{"id":736388,"url":"https://alion.io/job/tribe-forward-deployed-ai-engineer","title":"Forward Deployed AI Engineer","company":{"id":30272,"name":"Tribe","domain":"tribe.ai","url":"https://alion.io/company/tribe-ai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":89,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":165000,"max_usd":315000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":370},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-01-29T19:08:24Z","employer_posted_date":"2026-01-29","last_verified_at":"2026-10-27T03:59:08Z","board_verified":true,"closed_at":null,"days_open":270,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":269},"description":"About Tribe AI:\nAt Tribe, we’re on a mission to help enterprises realize the value of AI for their business. Every large enterprise wants to use AI to transform how they operate - but many don’t have the capabilities to do it. That gap is our opportunity.\nWe’re an AI-native services company that helps enterprises build and deploy best-in-class AI products that deliver real business impact. We partner closely with OpenAI and Anthropic, giving us rare visibility into the most advanced models, roadmaps, and GTM strategies in the world.\nAbout the Role\nWe’re looking for a Forward Deployed AI Engineer to lead our most mission-critical client engagements. This is not a lab role - you’ll be embedded with enterprise clients, building and deploying AI solutions where the problems are messy, the stakes are high, and the environment is rarely “ideal.”\nYou’ll be the one who makes things work in the real world: taking designs from architects, wrestling them into production, and ensuring they scale reliably under real constraints. If you thrive on chaos, love solving problems end-to-end, and want your code to matter outside of demos, this role is for you.\nKey Responsibilities:\nClient Engagement & Delivery\nWork side by side with clients, PMs, and Architects to scope and deploy AI systems that actually solve problems.\n\nBuild and integrate systems using LLMs, RAG pipelines, agent frameworks, vector DBs, and related tools.\n\nNavigate real-world challenges: data access, authentication, security, networking, and brittle enterprise environments.\n\nSolution Implementation\nTranslate high-level designs into working components that deliver measurable outcomes.\n\nDebug relentlessly - optimize for reliability in production, not just elegance in code.\n\nWrite modular, reusable code that balances speed of delivery with long-term maintainability.\n\nCollaboration & Enablement\nEmbed with client engineering teams to accelerate adoption and integration.\n\nShare insights from field implementations to inform reusable components in our platform.\n\nDocument decisions with clarity so both clients and internal teams can build on your work.\n\nAbout You:\n5+ years of engineering experience, with proven work shipping AI/ML systems into production.\n\nStrong Python skills and deep familiarity with modern AI/ML frameworks (LangChain, LlamaIndex, Hugging Face, vector DBs).\n\nHands-on with cloud deployment, orchestration, CI/CD, and distributed environments (AWS, Azure, GCP).\n\nAbility to debug gnarly real-world issues (auth failures, networking black holes, flaky data pipelines).\n\nProblem-solver who thrives in ambiguity, focused on delivery and reliability over process and ceremony.\n\nComfortable in client-facing environments - 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