{"id":1446975,"url":"https://alion.io/job/vendra-full-stack-engineer","title":"Full Stack Engineer","company":{"id":3779167,"name":"Vendra","domain":"vendra.io","url":"https://alion.io/company/vendra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"junior","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":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Claude Code","optional":false},{"name":"Computer Vision","optional":false},{"name":"Cursor","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"React.js","optional":false},{"name":"TypeScript","optional":false},{"name":"Amazon S3","optional":true},{"name":"Anthropic","optional":true},{"name":"AWS","optional":true},{"name":"Next.js","optional":true},{"name":"Node JS","optional":true},{"name":"OpenAI","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2026-09-29T06:39:10Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-09-29T19:15:02Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Vendra is building the AI-native operating system for manufacturing procurement and supply chain. Our goal is simple: build platforms, both external and internal, that allow fewer people to accomplish dramatically more. Think about what Claude Code did for engineers. We are doing that for supply chain (and are well on our way).\nYou will be part of the core engineering team at Vendra. This is a high-ownership fullstack role where you will help shape everything from our architecture across multiple connected platforms to the product experiences our customers rely on every day.\nAs a Full Stack Engineer here, you will work across the frontend, backend, APIs, data systems, infrastructure, and core AI workflows that power our manufacturing marketplace and other platforms. You will collaborate directly with the founders, move fast, and work closely with customers building some of the most advanced hardware in the world.\nWe are already working with some of the most ambitious companies in aerospace, defense, robotics, and advanced manufacturing, including teams at Anduril, Mach Industries, Relativity Space, and more. Click here to see some of those names.\nThis is a role for builders who want to work on products that are used by the companies building the future of hardware. We are growing faster than anyone in this space, and the only way to keep up with the demand in front of us is to build faster, think bigger, and raise the bar on what one great engineer can ship.\nWhat You Will Do\nWithin days\nTake ownership of a real production workflow across our marketplace, supplier portal, internal tools, or AI automation systems.\nShip improvements used directly by customers, suppliers, or the Vendra team.\nWork directly with Shan, Anish, and the founding team to support our newest product lines.\nUse AI tools like Claude Code aggressively to move faster, prototype faster, and ship higher-quality software with fewer cycles wasted.\nWithin weeks\nBecome responsible for one of our core platforms\nSuggest, plan, and execute product and engineering improvements\nHelp us design and build the next product in our stack\nImprove backend systems, APIs, internal tools, and AI workflows that directly impact customers\nWithin months\nHelp define product and technical vision\nBuild new platforms and products that support our mission\nDevelop a deep understanding of supply chain, procurement, and custom part manufacturing\nWork with us to automate more of the manufacturing procurement lifecycle from RFQ to supplier matching, quoting, ordering, tracking, and fulfillment using Agentic Workflows\nWho You Are\nYou have 1+ years of experience building and shipping real products\nWe don't care about your degree; we care about the systems you've put into production. Tell us about those in the message you send over\nYou understand software engineering principles. You also understand that they could be wrong at this stage. You know when to follow them and when to break past them. Confused? You should be. That’s what makes this fun.\nYou are a true fullstack builder. You can move from React and TypeScript to backend APIs, databases, infrastructure, and AI workflows without needing everything perfectly defined.\nYou DO NOT need experience in Supply chain or Hardware. You just need to be a really good engineer\n\nYou use Claude Code, Cursor, or similar AI coding tools. You are not just “AI curious” and you are not just a pure “vibe coder.“ You have already changed the way you build because of these tools, and you are excited to push that even further.\nYou are a US Person (Greencard works too)\nYou are strong in at least one part of the stack and excited to work across the rest: frontend, backend, APIs, data systems, infrastructure, and AI workflows\nYou can take ambiguous product or customer problems and turn them into working software quickly\nYou are comfortable working directly with founders, customers, and suppliers to understand what needs to be built\nYou are excited by AI, automation, marketplaces, infrastructure, and the opportunity to transform a massive offline industry\nYou want a high-ownership role where your work ships fast and matters immediately\nYou are willing to learn fast. Requirements change, processes change. We iterate at lightspeed and prioritize on a case by case basis.\nBonus: you are a former founder, early startup engineer, or someone who has owned a product end-to-end before. We especially like people who know what it feels like to build from zero, talk to users, make tradeoffs, and keep shipping even when the path is messy.\nOur Tech Stack\nFrontend: React, Next.js, TypeScript\nBackend: Node.js, Python\nAI Stack: OpenAI models, Anthropic models, custom fine-tuned models, agentic workflows\nInfrastructure: AWS, Postgres, Redis, S3, MongoDB\nData: Real-time quote intelligence, supplier availability, historical manufacturing performance, customer and supplier workflow data\nHow We Work\nWe plan, push, and ship features many times in a single day. You will not be stuck waiting weeks to see your work matter. At Vendra, the feedback loop is immediate: you build, customers use it, and the product gets better.\nThis role is a fit for someone who wants ownership, speed, ambiguity, and direct impact. You should be excited to work across the stack, talk to customers, make product decisions, and build systems that become the backbone of modern manufacturing procurement.\nWhy we started Vendra\nVendra started from a simple realization: the hardest part of building hardware is not just managing suppliers. It is finding the right suppliers in the first place.\nBefore launching this version of Vendra one year ago, we spent six months building productivity tools for hardware teams working with manufacturers. But the deeper we got into the problem, the clearer it became that the real bottleneck was supplier discovery, quoting, and procurement.\nSo we pivoted. Within two weeks of the idea, we launched the first version of Vendra. Apple became our first customer, and we have been growing at lightspeed ever since.\nThe Founders\nShan, CEO, designed camera systems at Microsoft and Apple for AR hardware, including HoloLens 2 and Vision Pro. He later led product development at Skydio for the X10 camera systems and NightSense modules, with thousands of drones and modules deployed around the world. He also holds multiple patents across product design and manufacturing design.\nAnish, CTO, comes from a machine learning research and applied AI background across computer vision, NLP, logistics, and defense. After his stint in the research space, he became a Founding ML Engineer at Ship Angel, where he led development of autonomous logistics systems, and built satellite-data tracking systems for open-water intelligence at General Atomics.\nInterview Process\nFounder intro call (10 min)\nCasual conversation with a founder. We want to understand how you think, what you’ve built, and what you’re excited about.\n\nTake home assignment (2 days)\nTake home assignment related to our day to day tasks. You will have 2 days to complete this. Use everything.\n\nTake home walkthrough (Same or next day)\nWe will walk through your submission as soon as 1 hour after you’ve done it\n\nVibe Check (30 minutes)\nQuick conversation with both founders to see if the culture fits\n\nWe can go through the entire process in 2-3 days and start you off if things go well (Obviously dependent on your speed in the take home challenge)","description_format":"text","description_chars":7446,"description_truncated":false,"requirements":{"experience_years_min":1,"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":[],"lifecycle":[{"event":"open","at":"2026-09-29T06:39:10Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":15,"reasons":["conf:6","win:early","comp:junior"],"computed_at":"2026-09-30T01:35:16Z"},"pay":{"stated_usd_annual":140000,"is_top_pay":false},"html_url":"https://alion.io/job/vendra-full-stack-engineer","json_url":"https://alion.io/job/vendra-full-stack-engineer.json","meta":{"generated_at":"2026-09-30T01:35:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1185,"day_limit":5000,"remaining_today":3815,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}