{"id":3640472,"url":"https://alion.io/job/arionkoder-sr-ai-engineer-backend-platform","title":"Sr AI Engineer (Backend & Platform)","company":{"id":61566,"name":"Arionkoder","domain":"arionkoder.com","url":"https://alion.io/company/arionkoder","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":14,"ghost_share":0,"stale_share":0.357,"repost_share":0,"time_to_fill_p50_days":80,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["AR","BR","CO","MX","AI","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC"],"hiring_countries_total":48,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Databricks","optional":true}],"status":"live","first_seen_at":"2026-11-02T19:07:29Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-04T11:32:21Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Arionkoder is an AI consulting firm helping companies build, embed, and own AI systems that drive real business outcomes. We combine Product Development, Artificial Intelligence, and Team Augmentation to craft digital products and solutions that create lasting impact - guided by a human-centric approach and a commitment to pushing the boundaries of what technology can do.\nWe’re hiring a contract AI engineer with a backend or full stack background who builds, deploys and operates AI agents in production, using leading-edge agentic development practice to ship quickly. Our client builds AI agents and products for the trucking and fleet compliance space, used by both its customers and its internal teams. Agents work across tolling and millions of compliance documents, on top of more than 10 years of toll, inspection, safety and vehicle data. What you ship affects revenue, safety and compliance directly.\nResponsibilities:\nDesign, build and deploy AI agents end to end, from first spec to production.\nShip early and iterate on feedback from real users.\nWork with product, support and engineering stakeholders to turn loose problems into clear requirements.\nOwn the infrastructure and delivery path of the agents you build: infrastructure as code, CI/CD and deployment.\nOwn what you ship once it’s live: monitoring, evals, cost and failure handling.\nHelp the team move faster by bringing in and spreading best practices in agentic engineering.\nHow you’ll work:\nUse coding agents as your main way of building software: define the work, check what agents produce and make the calls that matter.\nBreak work into pieces an agent can finish and you can verify, and run several agents in parallel.\nRely on tests, CI and agent review so speed doesn’t cost quality.\nWhen something goes wrong, improve your setup so it doesn’t happen again, and package what works as reusable skills for the team.\nRequirements:\nBackend or full stack engineering background, with recent hands-on AI engineering experience.\nA track record of shipping agents and AI features to production, with users who rely on them today.\nYou own the full path to production yourself: infrastructure as code (Terraform), CI/CD, deployment and monitoring.\nCloud experience in AWS and/or Azure, including container orchestrators (Kubernetes or ECS/Azure .\nYou use evals and data to decide when an agent is ready to ship and to measure whether it’s succeeding once live.\nStrong Python or TypeScript, with experience building with LLM APIs and MCP.\nExperience with agent frameworks or SDKs, and knowing when not to use one.\nYou already use coding agents as your main way of building software.\nYou work independently, gather requirements from non-engineering stakeholders and give specific answers. When you don’t know something, you say so.\nAdvanced English, written and oral. \nNice to have:\nFrontend experience on existing production platforms.\nDatabricks.\nLLM observability and eval tools.\nBackground in logistics, transportation or compliance.\nNotes:\nInterviews are hands-on: expect to walk through something you’ve built and shipped, in detail.\nRemote, LATAM · Overlap with 9am-5pm US Eastern\nPerks\nMonthly USD Service Fee\n20 business days of paid Agreed Time Off-Annual + 6 Local Holidays\nCaregiver Time Off\nA dynamic remote work culture. You can work from anywhere!\nAn entrepreneurial environment.\nAbout us\n In 2010, our founders dreamed up a company that could positively impact the world. Since then, we've been in permanent evolution: from business consulting to innovation and design, and now to building amazing digital products powered by AI. We scaled globally, launched AI Labs and Reshape Studios, and claimed our space as an AI consulting firm - helping organizations move from pilots to production through accountable AI. Today, we're expanding our impact across industries, driving real AI adoption through accountability, governance, and value at scale. 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