{"id":545959,"url":"https://alion.io/job/composio-member-technical-staff-applied-ai-engineer-us-timing","title":"Member Technical Staff - Applied AI Engineer (US Timing)","company":{"id":48368,"name":"Composio","domain":"composio.dev","url":"https://alion.io/company/composio","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":52,"open_postings":25,"ghost_share":0.8,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":36000,"max_usd":83000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Intercom","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Composio","optional":true},{"name":"GitHub","optional":true},{"name":"Gmail","optional":true},{"name":"Vercel","optional":true}],"status":"live","first_seen_at":"2026-09-07T16:17:36Z","employer_posted_date":"2026-09-07","last_verified_at":"2026-11-05T06:59:50Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":58},"description":"Member of Technical Staff - Applied AI Engineering\nEXPERIENCE: 2-4 years\nTYPE: Full-time\nFOCUS: Applied AI Customer-facing\nWORK HOURS: US Timings\nLOCATION: Bengaluru\nABOUT THE COMPANY\nAt Composio, we are building infrastructure that allows AI agents to communicate with the tools people use for work, including GitHub, Gmail, Notion, Salesforce, and more. We are a small team of engineers working across context, auth, execution, and reliability to build the action layer for AI agents.\nWe raised a $25M Series A from Lightspeed, with angel investors including Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of HubSpot), and Gokul Rajaram. Our customers range from YC startups to companies like Brex, Glean, Zoom, and more.\nABOUT THE TEAM\nThis is an applied AI engineering role, not a traditional support role. You will work directly with customers, learn the repeated work behind their problems, and build agentic systems that take that work over. When a customer needs direct engineering, you will debug and ship. When a pattern repeats, you will turn it into a workflow, eval, tool, or product capability that compounds.\nThe frontier: support is one of the richest applied AI environments - an agent has to gather context, reason across systems, use tools, take bounded action, verify the outcome, and communicate clearly. You design that system.\nThe trust bar: AI cannot be trusted by default with customer support. You define state, permissions, guardrails, evals, and escalation paths so the automation earns trust.\nThe feedback loop: it's immediate. Deploy into real support work, watch where the system fails, and improve it until people can hand over more of the job.\nROLES AND RESPONSIBILITIES\nWhat you'll build\nAgentic workflows that take over support functions: intake, classification, context gathering, reproduction, diagnosis, response drafting, remediation, verification, and follow-up.\nTool-using agents that safely inspect runs, logs, auth state, configuration, and provider behavior, then propose or execute bounded recovery actions.\nEval suites for diagnostic correctness, resolution quality, safe escalation, customer communication, and end-to-end task completion.\nHuman-in-the-loop systems that make ownership, uncertainty, approvals, handoffs, and failure states explicit.\nThe observability, memory, and feedback loops that let these agents improve from real support cases without repeating mistakes.\nProduct improvements that remove entire classes of customer issues instead of handling the same symptoms faster.\nHow you'll work\nStart with the customer outcome, then work backward into the model, workflow, tooling, or product change required to deliver it.\nOwn the hardest issues end to end when direct engineering is needed: reproduce, isolate, mitigate, ship, communicate, and verify the resolution with the customer.\nSit with customers and partner with Support, FDE, Product, and Engineering to find work that should become software.\nMove from a rough prototype to a reliable production workflow, with traces, evals, guardrails, and a clear human fallback.\nUse frontier models, coding agents, and internal AI tools every day to multiply your own engineering output.\nMeasure success in customer outcomes improved, support work removed, and classes of failure prevented.\nWHAT YOU'LL BRING\nExperience level: 2-4 years of professional software engineering experience.\nApplied AI engineering\nYou have built production systems with language models, tool calling, retrieval, structured outputs, multi-step workflows, or agent memory.\nYou know how to use models and coding agents as leverage, and where their non-determinism creates hidden risk.\nYou use evals, traces, failure analysis, and fast iteration to make AI systems dependable.\nStrong systems engineering\nYou are an experienced backend, platform, or integration engineer who has shipped and operated production software.\nYou can debug across SDKs, HTTP, OAuth, webhooks, queues, data stores, logs, and third-party APIs.\nYou turn an ambiguous failure into a minimal reproduction, a root cause, and a durable fix.\nCustomer-adjacent building\n\nYou are deliberately choosing to work closer to customers because you want a tighter loop between what you build and the impact it creates.\nYou enjoy talking directly with technical users, turning a vague problem into a system, and watching that system change their outcome.\nYou communicate clearly under uncertainty, ask the exact next question, and never bluff.\nWorkflow and product judgment\n\nYou can model a support function as states, tools, permissions, handoffs, verification steps, and escalation rules.\nYou know what should be automated, what should remain human, and how to increase autonomy without reducing trust.\nYou fix the class of problem, not only the visible symptom.\nOPTIONAL\nTypeScript or Python in production.\nExperience building AI agents, copilots, workflow automation, or eval infrastructure.\nExperience with a developer platform, API product, support engineering, SRE, or incident response.\nFamiliarity with OAuth 2.0, webhooks, rate limits, Postgres, queues, and cloud observability.\nExperience with support systems such as Plain, Zendesk, Intercom, or Salesforce.\nPublic technical writing, open source contributions, or unusually good debugging notes.","description_format":"text","description_chars":5301,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","AI Agents","Integration & API Management","AI Development Tools"],"lifecycle":[{"event":"open","at":"2026-09-08T12:32:37Z"}],"visa":[],"liveness":{"score":20,"band":"cold","label":"Long shot","p_open":1,"p_active":0.445,"p_room":0.45,"age_days":58,"expected_fill_days":38,"reasons":["conf:3","stale_co","win:tail"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/composio-member-technical-staff-applied-ai-engineer-us-timing","json_url":"https://alion.io/job/composio-member-technical-staff-applied-ai-engineer-us-timing.json","meta":{"generated_at":"2026-11-05T12:14:45Z","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":15785,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"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":48368},"rest":"https://alion.io/mcp/rest/get_company?id=48368"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcomposio-member-technical-staff-applied-ai-engineer-us-timing"},{"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%2Fcomposio-member-technical-staff-applied-ai-engineer-us-timing"},{"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%2Fcomposio-member-technical-staff-applied-ai-engineer-us-timing"},{"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/composio-member-technical-staff-applied-ai-engineer-us-timing\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcomposio-member-technical-staff-applied-ai-engineer-us-timing"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":545959}},{"tool":"search_jobs","arguments":{"company":"composio.dev","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":545959},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}