{"id":138226,"url":"https://alion.io/job/bluejay-software-engineer-intern","title":"Software Engineer Intern","company":{"id":8427,"name":"Bluejay","domain":"getbluejay.ai","url":"https://alion.io/company/bluejay","size_band":"51-200","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":"intern","employment_type":"internship","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":6000,"max":10500,"currency":"USD","period":"month","gross":null,"usd_annual":126000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"FastAPI","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Supabase","optional":false},{"name":"TypeScript","optional":false},{"name":"Amazon EC2","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Multimodal AI","optional":true},{"name":"WebSockets","optional":true}],"status":"live","first_seen_at":"2026-08-27T17:01:01Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-17T05:35:17Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Bluejay is building the simulation, observability, and self-improvement layer for Voice AI agents.\nRohan and Faraz left AWS and Microsoft, where they built critical infrastructure for MSFT Copilot and AWS Bedrock to start Bluejay. Bluejay’s mission is to be the trust layer between AI and humanity. The most challenging modality for AI is voice. They are starting by developing simulation, observability, and self-improvement infrastructure to accelerate the adoption of Voice AI to be the default medium of interaction between humans and technology.\nIn just one year, Google, Doordash, public healthcare companies, public banks, most drive-through fast food chains, and corporations across 5 continents use Bluejay to understand and improve their Voice AI agents. We raised a 4m seed backed by Floodgate, PeakXV, and YC in 2025, and have been sustaining ourselves through our growth and revenue. We handle millions of calls a month, presenting challenging engineering problems to sustain real-time simulated conversations and production monitoring at scale.\nWe are looking for high-agency engineering interns who want to play a pivotal technical role in Bluejay’s team. We want interns who can bring new ideas to the team, own features and customers end to end, and apply what they are learning at college to Bluejay. We hold a high technical bar and expect proficiency across the stack, specifically in databases, AWS, and AI engineering.\nAt Bluejay, you’ll be working with some of the largest companies in the world to test, monitor, and improve their Voice AI agents. You’ll be working with tech across the stack, and taking full ownership for your work. We are small team of 10 punching well above our weight, and expect you to do so as well!\nOur (beautiful) office, The Sky, is located in Union Square, San Francisco.\nHere are some skills that we are looking for:\nDevX\nUltra-customized Claude code\nOptimized developer setup (skills, mcp integrations, worktrees, and immense task parellelization)\nFull Stack\nPython, FastAPI\nTypescript, React\nSupabase, Redis\nTaste!!!!! Innate beauty in their work.\nDesirable Quirks\nSUPER OPINIONATED about design decisions\nDEEP INTUITION from previous experience designing systems\noptimized developer workflow (what is your workflow for 100x engineering?)\nDesirable Experiences (any of these will pique our interest)\nHas worked at a company that has handled immense scale as an IC or Senior SWE\nHas been a technical lead, and handled projects end to end\nWhat You’ll Do\nArchitect and develop systems that simulate, analyze, and evaluate conversational AI agents, including voice and multimodal systems.\nDesign resilient, scalable infrastructure using AWS (Lambda, EC2, Websockets, SIP) to handle millions of real-time conversations.\nDevelop algorithms and pipelines that surface insights, detect failure modes, and ensure agents are safe, reliable, and aligned with human intent.\n Work on-site with customers. 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