{"id":3528689,"url":"https://alion.io/job/plug-sr-software-engineer-agents","title":"Sr. Software Engineer, Agents","company":{"id":687066,"name":"Plug","domain":"plugmotors.com","url":"https://alion.io/company/plugmotors","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Los Angeles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":175000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Fine-tuning","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-30T14:51:42Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-02T13:58:01Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Title: Sr. Software Engineer, Agents\nTeam: Engineering\nLocation: Onsite - Sawtelle (Between Santa Monica & West LA)\nEmployment Type: Full-time, Salary, Exempt\nReports To: Head of Engineering\nAbout Plug\nPlug is the marketplace for used electric vehicles. Consumers get an instant cash offer backed by battery-health data, and dealers across the US bid in real time on that inventory. Former Tesla executives founded Plug in 2023. We’ve raised a $20M Series A led by Lightspeed Venture Partners.\nWhy Plug\nYou’ll help build the biggest infrastructure opportunity in automotive.\n\nYou’ll work on a platform built exclusively for EVs, with nothing adapted from legacy automotive.\n\nYou’ll be part of an AI-native company. We’re rethinking how work gets done at a fundamental level.\n\nYou’ll work directly with operators who have scaled multi-billion dollar businesses in automotive, EV, and marketplaces.\n\nYou’ll ship constantly, with high autonomy and a direct line to company outcomes.\n\nThe Opportunity\nPlug runs on a lot of manual work: reading titles and inspection reports, chasing paperwork with dealers, checking vehicle details, answering sellers, and moving each car from offer to sale. Much of that work can be done by agents. We already run LLM features in production, and our engineers own the core platform: the marketplace, pricing, and the systems that tie them together. What we need now is someone who can turn a stream of real operational problems into agents that work reliably, one after another.\nWhat You’ll Do\nBuild and ship agents and multi-agent workflows for operations, dealers, and sellers: document extraction, inspection and title review, dealer and seller communication, and internal tooling.\n\nUse LangChain and LangGraph to build agents, and LangSmith or Langfuse to trace, debug, and evaluate them.\n\nWrite evals, build datasets from real cases, measure accuracy and failure modes, and make regressions visible.\n\nIntegrate agents with the services the team already owns, through clean APIs and tools. Work within the existing architecture and raise design concerns with the owning engineer instead of routing around them.\n\nMonitor agents in production: cost, latency, error rates, and human-review rates. Fix what breaks and tighten prompts, tools, and guardrails over time.\n\nShip full-stack when the job calls for it: the TypeScript and React screens where people review and correct agent output, and the backend endpoints behind them.\n\nHelp the rest of engineering adopt the same patterns. Build reusable tools, examples, and short write-ups that make the next agent faster to build.\n\nWhat You’ll Bring\n5+ years of full-time industry software engineering, with a track record of shipping features to production and supporting them after launch.\n\nStrong TypeScript or Python, and comfort working across the stack: APIs, databases, and frontend when needed.\n\nHands-on experience building LLM features in production: tool use, retrieval, structured output, and above all, evaluation.\n\nExperience with an agent framework and observability stack, ideally LangChain, LangGraph, LangSmith, or Langfuse. If you’ve used something else, show us what you built and how you knew it worked.\n\nYou work agent-first. You’ve built your own tooling around coding agents, such as skills, MCP servers, custom workflows, or evals.\n\nComfort building inside systems other people designed. You can disagree, make your case, and then ship the agreed plan.\n\nA habit of writing things down: short design notes, eval results, and runbooks that others can pick up.\n\nYou enjoy being part of a small team: pairing, reviewing each other’s work, and sharing credit.\n\nHigh agency in an ambiguous, fast-moving startup. You find the most valuable workflow to automate and ship against it without waiting for a perfect spec.\n\nBS in computer science or a related field, or equivalent experience.\n\nNice to Have\nExperience with document-heavy workflows such as titles, registrations, inspections, lending, or insurance.\n\nExperience with vehicle, marketplace, or auction products.\n\nExperience with human-in-the-loop review tools, or with fine-tuning and prompt optimization for production LLM features.\n\nCompensation and Benefits\nAnnual salary: $175,000 to $200,000\nSalary ranges come from independent, third-party benchmarking against national compensation data. Where an offer falls within the range depends on relevant experience, specialized skills, training and qualifications, current business needs, and market conditions. We review ranges periodically and may adjust them as the market changes.\nBenefits & Perks\nHealth, Vision, and Dental insurance\n\n401(k) plan\n\nDaily lunch stipend\n\nEquity (based on role and performance)\n\n30-day remote work from anywhere policy\n\nUnlimited PTO\n\nFully stocked kitchen\n\nDog-friendly office\n\nOngoing opportunities for growth and development\n\nThis full-time position is an in-person role based in Sawtelle (between Santa Monica and West Los Angeles). Relocation assistance will not be provided for successful candidates. Sponsorship not available at this time.\nAcknowledgments\nPlug is an equal opportunity employer. We don’t discriminate on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, pregnancy, age, marital status, military or veteran status, physical or mental disability, medical condition, genetic information, or any other characteristic protected by law. 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