{"id":2291428,"url":"https://alion.io/job/coinis-senior-ai-platform-engineer-agentic-workflows","title":"Senior AI Platform Engineer , Agentic Workflows","company":{"id":56062,"name":"Coinis","domain":"coinis.com","url":"https://alion.io/company/coinis","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Podgorica, Montenegro"],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":130000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1986},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"Tool Use","optional":false},{"name":"Anthropic","optional":true},{"name":"CrewAI","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-10-11T18:39:31Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T16:59:35Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About us\nWhat you will do\nDesign and ship the agentic layer that drives automated campaign decisions.\nBuild a tool-use framework on top of Claude and other frontier models.\nShip memory and state for long-running, multi-step advertising workflows.\nDefine guardrails, spend caps, and escalation paths the agent must respect.\nInstrument every step. Replayable traces. Every decision auditable.\nPartner with the media buying team. Encode their real playbooks into the agent.\nBuild eval harnesses that compare agent performance to human media buyers.\nAbout your position\nSoon Coinis will launch an AI media buyer that drafts, launches, and optimizes ad campaigns on its own. You build it. You design the agent loop, the tool layer, the memory layer, and the guardrails. The agent sits on top of the same Meta Business API integrations our users run manually today.\nJob requirements\nMust have\n5+ years in backend or ML engineering.\nProduction experience with LLM tool-use, function calling, or agent frameworks.\nStrong Python. Async and streaming comfort.\nExperience building systems that take real actions on behalf of users. Not just chatbots.\nDeep respect for observability, evals, and failure modes.\nNice to have\nAnthropic Claude API, OpenAI API, or similar at scale.\nLangGraph, CrewAI, or custom agent orchestration.\nAd tech, performance marketing, or media buying context.\nExperience with vector databases and semantic memory.\nQualifications\n01\nEducation\n BSc or MSc in Computer Science, ML, or related.\n02\nExperience\n 5+ years\n03\nSkills\n Python, Claude API, LLM Tool Use, Agent Frameworks, LangGraph, Observability, Evals, Meta Business API, Vector Databases\nWhat we offer\nWhat you get\nCompetitive salary in EUR.\nEquity in the SaaS spinout.\nReal agentic product, not a research demo.\nLive ad spend as the test environment. Your agent ships to real Meta accounts.\nRemote-first, flexible hours.\nAI tooling and compute budget.\nOther information\nThis is a staff-track role. 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