{"id":25695,"url":"https://alion.io/job/giga-ai-forward-deployed-engineer-iii","title":"Forward Deployed Engineer I/II","company":{"id":21351,"name":"Giga","domain":"giga.ai","url":"https://alion.io/company/giga-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"D","score":46,"open_postings":30,"ghost_share":0.9,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":28,"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":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"PoC Library","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-06-12T18:26:52Z","employer_posted_date":"2026-06-12","last_verified_at":"2026-10-17T22:23:14Z","board_verified":true,"closed_at":null,"days_open":127,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":126},"description":"About Giga\nGiga has recently raised a $61M Series A and is working with Fortune 500 customers to deploy the next generation of customer experience - real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises.\nIndustry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email, in high-stakes regulated environments where accuracy and compliance matter. We're at an exciting inflection point.\nWhile we've found real commercial success, our ambitions are larger: to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. The work affects millions of people every day, and our team has the autonomy to make true impact - with brilliant founders, a clear path forward, and the kind of momentum that defines generational companies.\nIf being part of that resonates with you, we'd love to hear from you!\nVoice AI startup Giga raises $61M Series A\n\nDoorDash and Giga Partnership\n\nMore About the Role\nWe're seeking an Agent Engineer to join our San Francisco team. You'll serve as a technical interface between Giga and our customers, building and deploying sophisticated solutions.\nWhat You’ll Do:\nAssisting customer engagements from start to end: run discovery calls & demos, build/maintain world class agents, participate in customer calls, and serve as the primary PoC in a fast-paced environment.\n\nOwn the full agent development life cycle: build and prototype quickly, set up CI/CD, monitor live usage, iterate to targets, debug live issues, communicate with customers, and document best practices to speed up future projects.\n\nClose the feedback loop with product & platform: capture unmet needs, prototype new features, contribute directly to the codebase, and collaborate with core teams to strengthen the platform for all customers.\n\nWho You Are / Must-Haves:\nKnow the basics: Understanding of React, Python, tool calls, APIs, etc.\n\nInterpersonal Acumen: Able to solve problems in a people-centric manner and communicate effectively, with experience/interest in customer-facing roles.\n\nEntrepreneurial: Preference for candidates with aspirations who want to be founders or leaders; ability to context switch constantly and rapidly; high bar for quality work.\n\nGritty: Capable of working long productive hours, customer focused, very high attention to detail, and obsession to deliver high-quality work.\n\nCoachable: Be able to take in feedback and adapt at a quick pace.\n\nExperience: 1+ years of experience; computer science, analytics, or consultant background strongly preferred.\n\nPerks & Benefits\nCompetitive base + bonus + equity\n\nCatered lunch daily\n\nDinner stipend\n\n$500/month wellness & commuter benefit (gym, fitness classes, mental health)\n\n401(k) plan\n\nMedical, dental, and vision coverage\n\n---\nGiga is an equal opportunity employer. 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