{"id":554293,"url":"https://alion.io/job/insiderone-ai-native-software-engineer","title":"Software Engineer - (AI Native)","company":{"id":50678,"name":"Insider One","domain":"insiderone.com","url":"https://alion.io/company/insiderone","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":82,"open_postings":112,"ghost_share":0.223,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":146,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Turkey"],"countries":["TR"],"hiring_countries":["TR"],"hiring_countries_total":1,"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":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Laravel","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"PHP","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS Strands Agents","optional":true},{"name":"CI/CD","optional":true},{"name":"LangChain","optional":true},{"name":"Least Privilege","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-08T08:58:09Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-11-04T10:22:59Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":56},"description":"About the role\nMost engineering teams have added AI to their workflow. A few have rebuilt their workflow around it. We are moving to the second group, and we are hiring engineers to build it with us.\nThis is not a role where you build LLM products. This is a role where you build our product with agents.\nYou will work inside a real, high-traffic production codebase: the platform that 2,000+ brands use to engage customers across channels, processing 2.2 billion requests and delivering nearly 2 billion notifications every day. You will plan, implement, test, review, debug and ship features with coding agents doing most of the writing, while you set the intent and own the outcome.\nYou are not expected to arrive with a company-wide standard in your head. You are expected to already work this way every day, and to leave the team with better prompts, skills, agents and guardrails than it had before you.\nIf your first reaction to a repetitive workflow is \"this should be an agent,\" we should probably talk.\nWhy this role exists\nWe looked at how our engineers work today. Some of them use AI to finish a line of code faster. That is autocomplete, and it is not what we mean.\nWe mean the full loop: you scope a change, an agent reads the codebase and writes a plan, you correct the plan, the agent implements across many files, runs the tests, fixes what it broke, and opens a pull request. You review the output like a senior engineer reviews a junior - because that is exactly what it is.\nSome people already work like this every day. We want more of them on the team, and we want them building the tooling that makes it easy for everyone else.\nWhat You Will Do\nShip with agents. Claude Code first, plus Codex, Cursor, Copilot or whatever earns its place - your main tool across planning, implementation, testing, debugging, refactoring, documentation and review. Real features in production, with the quality bar you would hold for hand-written code.\nOwn the output. Treat what the agent writes as untrusted until you have reviewed it: hallucinations, wrong assumptions, hardcoded secrets, missing validation, injection-prone patterns. Run it, confirm it works, iterate. For authentication, authorization, cryptography and session handling, use our standard implementation rather than the model's invention.\n Fix the context, not the prompt. Keep CLAUDE.md, coding standards, architecture notes and module dependencies current so the agent gets it right the first time. Feed SAST (Static Application Security Testing) and dependency findings back with call path and data flow, so it writes a real patch instead of a suppression.\n Build team-level tooling. Prompts, skills, sub-agents and MCP (Model Context Protocol) integrations for the work that keeps coming back, plus guardrails that keep agents in bounds: architectural limits, forbidden patterns, off-limits folders. Keep the context lean and watch token cost.\n Use agents across the whole lifecycle, not just for code. Integration tests and coverage gap analysis, regression tests generated from real production incidents, root-cause analysis with logs and traces pulled in, ADRs (Architecture Decision Record) and runbooks drafted with AI and checked by you.\nReview AI-assisted work well. Run context-aware AI review on your own diffs, separate true positives from false positives, and turn recurring false positives or escaped bugs into rules the team keeps.\nShare what works. Show your setup to the team, review other people's AI-assisted pull requests, and get at least one thing you built adopted beyond your own repo.\nWhat You Will Need\nMust have\nDaily use of coding agents on real work. Not a course, not a demo. Code with users, where the agent did a large share of the writing and you owned the result.\nAt least one project you can walk us through end to end with these tools: what you delegated, what you kept, where it failed you, and how you caught it.\nAgentic experience: tool and function calling, multi-step workflows, state, error recovery, human-in-the-loop.\nContext discipline. You can show how you set an agent up to succeed - project files, standards, examples, scoped tasks - and how that cut your rework.\nSolid engineering fundamentals. Clean code, testing, error handling, security, performance. Agents make weak fundamentals more expensive, not less.\nThe judgment to know when the agent is wrong. Speed is easy to fake. Judgment is not, and it is what we will test.\n Willingness to share it. You do not need to have run a training program. You do need to be the kind of person who shows a teammate the setup instead of keeping it.\nLanguage is not a filter. Go and PHP/Laravel are preferred because that is what we run; Python, TypeScript or anything else is fine if the rest is there.\nNice to have\nTeam-level tooling you built and other people used: shared skills, sub-agents, MCP servers, slash commands, or a review or test agent running in CI (Continuous Integration).\nSecurity habits around agents: forbidden patterns, least privilege on the tools and credentials an agent can reach, secrets kept out of AI context, AI-suggested packages verified before they are merged.\nTest and debugging depth with AI: coverage gap analysis, regression tests written from production incidents, root-cause work using observability data.\nLLM work: prompt engineering, agent SDKs, or orchestration frameworks such as Strands Agents, LangChain or LlamaIndex.\nAgentic patterns beyond the basics: RAG, MCP, skills, hooks, plugins.\nExperience designing scalable, highly available systems, ideally in Go.\nCuriosity about how these systems actually work under the hood: benchmarking them, breaking them, improving them.\nOn seniority\nWe are open on seniority. Mid-level and senior candidates are both evaluated, and your level comes from what you have shipped, not from the number on your CV. The one thing we do not flex on: agents are already how you work, not something you are planning to try.\nWhat We Offer\nEnjoy a monthly meal allowance designed to enhance your daily routine\nAccess comprehensive private health insurance\nFind your people with yoga classes, running and cycling clubs, and nutrition workshops\nFeed your curiosity with access to Spotify, LinkedIn Learning, Blinkist, MasterClass, Neoskola, and CloudGuru\nLevel up with internal trainings covering AI fundamentals, coding, foreign languages, and a wide range of personal development skills\nBe part of a diverse team that’s as global as it gets - where every voice is heard and 50+ nationalities build together\nBecome a Shareowner through our eligibility-based “ESOP” and own a piece of what you build\nHelp build the team you want to work with and enjoy rewarding referral bonuses\nOpportunities to give back to your community through volunteering and purpose-driven social impact projects\nFrom global retreats to team-building activities, expect year-round events that turn into lifelong memories","description_format":"text","description_chars":6932,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health insurance"],"hiring_locations":[{"name":"Turkey","iso":"TR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Marketing Automation","Customer Data Platforms (CDP) & Reverse ETL"],"lifecycle":[{"event":"open","at":"2026-09-08T19:26:17Z"},{"event":"close","at":"2026-10-16T19:02:53Z"},{"event":"reopen","at":"2026-10-16T23:00:35Z"},{"event":"close","at":"2026-10-22T13:05:50Z"},{"event":"reopen","at":"2026-10-22T16:54:33Z"}],"visa":[],"liveness":{"score":65,"band":"ok","label":"Likely open","p_open":1,"p_active":0.896,"p_room":0.72,"age_days":56,"expected_fill_days":146,"reasons":["conf:0","velocity","win:mid","crowd:brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/insiderone-ai-native-software-engineer","json_url":"https://alion.io/job/insiderone-ai-native-software-engineer.json","meta":{"generated_at":"2026-11-04T14:16:33Z","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":21641,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":50678},"rest":"https://alion.io/mcp/rest/get_company?id=50678"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finsiderone-ai-native-software-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%2Finsiderone-ai-native-software-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%2Finsiderone-ai-native-software-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/insiderone-ai-native-software-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finsiderone-ai-native-software-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":554293}},{"tool":"search_jobs","arguments":{"company":"insiderone.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":554293},"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. Docs: https://alion.io/developers"}}