{"id":3871736,"url":"https://alion.io/job/rocketlane-ai-engineer","title":"AI Engineer","company":{"id":8369,"name":"Rocketlane","domain":"rocketlane.com","url":"https://alion.io/company/rocketlane","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Kula","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Lovable","optional":false},{"name":"Postman","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Replit","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"Asana","optional":true},{"name":"ClickUp","optional":true},{"name":"LLM","optional":true},{"name":"Wrike","optional":true}],"status":"live","first_seen_at":"2026-11-06T14:35:45Z","employer_posted_date":null,"last_verified_at":"2026-11-06T14:35:45Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"As a Forward Deployed Engineer (FDE) on Rocketlane's AI Implementation team, you will own the technical success of our strategic customers as they adopt Nitro AI agents. You'll embed with customer teams - running discovery, designing agent workflows, configuring integrations, engineering prompts, and shipping production-grade apps and agents that drive measurable outcomes.\n\nThis is a hands-on, high-ownership role that sits at the intersection of engineering, product, and customer success. You'll understand customer workflows, orchestrate agents, write code, debug live issues, and translate what you learn in the field into product improvements that shape the future of Nitro. If \"professional services consultant\" feels too removed from the keyboard and \"pure product engineer\" feels too removed from the customer, this role is built for you. You'll be a founding member of our AI-first Professional Services org - someone who thrives in ambiguity, loves solving puzzles, and is energised by seeing their work live in production within weeks, not quarters.\n\nThe candidate will have responsibilities across the following functions: \n\nCustomer-Embedded Agent Deployment: \nOwn end-to-end deployment of Nitro AI agents for enterprise customers - from discovery and solution design to configuration, go-live, and ongoing optimisation. Lead technical discovery sessions with customer stakeholders (Services leaders, IT, Operations, Revenue teams) to map business workflows to Nitro agent capabilities.\nDesign agent architectures that solve real delivery problems: migration agents, workforce agents, documentation agents and custom workflows tailored to each customer's environment.\nBuild and deploy custom integrations between Nitro and customer systems (CRM, HRMS, ERP, Finance tools, data warehouses, internal APIs).\n\nHands-On Engineering: \nWrite production-grade code/ scripts to extend, customise, or integrate Nitro agents into customer workflows.\nEngineer prompts, design evaluation frameworks, and tune agent behaviour for customer-specific data, terminology, and edge cases.\nBuild data pipelines and connectors to feed agents with the right context - SOWs, project history, customer communications, and structured delivery data.\nDebug live agent behaviour in customer environments, perform root-cause analysis on complex system interactions, and ship fixes fast.\n\nTrusted Technical Advisor: \nServe as the technical point of contact for strategic accounts throughout their Nitro implementation journey.\nGuide customers toward best-practice implementations - and push back when needed.\nYour job is to advise, not just execute requirements.\nTranslate customer pain into clear problem statements, then into shipped solutions.\nOur model is simple: spend time understanding customer workflows, then build agents.\n\nProduct Feedback Loop: \nBe the voice of the customer inside Rocketlane.\nSurface patterns, edge cases, and feature gaps to our Product and Engineering teams.\nPrototype and validate new agent capabilities in the field before they become full product investments.\nContribute to internal playbooks, reusable agent templates, and scaled enablement content so every FDE engagement makes the next one faster.\n\nPre-Sales and POC Support: \nPartner with Sales and Solutions teams on high-stakes enterprise deals - building rapid POCs, running technical validations, and proving the business case for Nitro.\nRepresent Rocketlane's technical depth in customer executive conversations, demos, and architecture reviews.\n\nThe core requirements for the job include the following:\n\nEngineering and Technical Depth: \n3-5 years of hands-on software engineering/product management experience, with the ability to write production-grade code in at least one of Python, TypeScript/JavaScript, or similar.\nStrong command of REST APIs, webhooks, OAuth/auth flows, and enterprise integration patterns - you can read API docs, test endpoints, and ship integrations without hand-holding.\nGood understanding of data modelling and ETL - comfortable working with messy enterprise data and shaping it for production use.\nComfortable with modern cloud, DevOps, and integration tooling (Postman, AWS/GCP, Docker, iPaaS platforms like Workato/Boomi/Make).\n\nAI and Agent Engineering: \nHands-on experience building with LLMs and AI agent frameworks - prompt engineering, agent orchestration and evaluation/guardrails.\nComfortable using AI-assisted development tools (Cursor, Claude Code, Replit, Lovable, or similar) to move faster and build utilities that make deployments scalable.\nStrong intuition for when to use an agent vs. deterministic automation, and how to design human-in-the-loop workflows that customers trust.\n\nRequirements: \n1+ years in a customer-facing technical role - Solutions Engineering, Forward Deployed Engineering, Technical Consulting, Implementation, or similar at a B2B SaaS or AI company.\nProven ability to drive enterprise deployments end-to-end with minimal supervision, including discovery, solutioning, and leading technical conversations.\nExcellent written and verbal communication - you can sit in a room with a VP of Services and earn their trust, then turn around and write clean technical documentation.\nAbility to simplify complex AI concepts for non-technical stakeholders.\n\nProblem-Solving and Ownership: \nBias toward action and ownership. You see a problem, you fix it. You don't wait for a ticket.\nStrong first-principles thinking - you can decompose a messy customer problem into a solvable, shippable plan.\nThrives in ambiguity. Comfortable operating without a playbook, because you're often the one writing it.\n\nGood-to-Have Skills: \nExperience with Professional Services Automation (PSA) tools - Rocketlane, Asana, Wrike, ClickUp, Salesforce PSA, Kantata, etc.\nBackground in Professional Services, Customer Success Engineering, or technical implementation at enterprise SaaS companies.\nPrior exposure to building or deploying agentic AI systems in production at an AI-native or AI-forward company.\nSkills\nAPI, AWS, Docker, ETL, JavaScript, LLM, OAuth, Prompt Engineering, Python, REST, TypeScript, Webhooks","description_format":"text","description_chars":6135,"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":["Project & Work Management Software"],"lifecycle":[{"event":"open","at":"2026-11-06T14:35:45Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":32,"reasons":["seen:0","win:early","comp:junior"],"computed_at":"2026-11-07T05:47:08Z"},"pay":null,"html_url":"https://alion.io/job/rocketlane-ai-engineer","json_url":"https://alion.io/job/rocketlane-ai-engineer.json","meta":{"generated_at":"2026-11-07T05:55:59Z","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":14366,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":8369},"rest":"https://alion.io/mcp/rest/get_company?id=8369"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frocketlane-ai-engineer"},{"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%2Frocketlane-ai-engineer"},{"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%2Frocketlane-ai-engineer"},{"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/rocketlane-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frocketlane-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3871736}},{"tool":"search_jobs","arguments":{"company":"rocketlane.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3871736},"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. 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