{"id":661914,"url":"https://alion.io/job/amsaccelerateit-senior-ai-platform-engineer","title":"Senior AI / Platform Engineer","company":{"id":668930,"name":"AMS Accelerate IT","domain":"amsaccelerateit.com","url":"https://alion.io/company/amsaccelerateit","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"A","score":95,"open_postings":21,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":138,"computed_at":"2026-10-30T05:48:23Z"}},"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":["Bucharest, Romania"],"countries":["RO"],"hiring_countries":["RO"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":83000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"GitLab","optional":true},{"name":"Grafana","optional":true},{"name":"gRPC","optional":true},{"name":"Langfuse","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-02-05T13:26:27Z","employer_posted_date":"2026-02-05","last_verified_at":"2026-10-30T09:41:40Z","board_verified":true,"closed_at":null,"days_open":267,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":265},"description":"We are seeking a talented Backend Software Engineer with a focus on AI/ML to join our team. In this role, you will be responsible for designing, implementing, and maintaining scalable backend services primarily in Python. Your main tasks will involve building and managing data pipelines for AI/ML applications, as well as operationalizing and deploying Generative AI systems for production use.\nDesign, implement, and maintain scalable backend services in Python\n\nBuild and maintain data pipelines for AI/ML applications for production use-cases\n\nOperationalize and deploy Generative AI systems (APIs, SDKs, pipelines)\n\nDevelop APIs to serve AI features to downstream applications\n\nOrchestrate agentic workflows using frameworks like LangChain, LangGraph, or custom solutions\n\nEnsure monitoring, logging, and observability of GenAI services\n\nCollaborate cross-functionally to ensure system performance, scalability, and reliability\n\nNote:\nThis position is ideal for a hands-on software engineer with significant exposure to AI product development, rather than a data science or AI/ML research role.\n\nWe are looking for individuals who excel in operational excellence, have deployment experience, and possess systems-level thinking for real AI applications.\n\nRequirements\nOffer Requirements:\n5+ years of practical experience as a Python backend developer\n\nStrong knowledge of software engineering principles, clean code practices, and testing methodologies\n\nPractical experience with Python backend frameworks: FastAPI (preferred), Flask or Django\n\nPractical experience with SQL databases and related Python libraries\n\nHands-on experience with cloud platforms: Azure (preferred), AWS or GCP\n\nExperience designing and implementing scalable backend services (APIs, data pipelines, SDKs, etc.)\n\nPractical experience with building and deploying AI-based applications, including LLMs and embedding models (e.g., OpenAI, Anthropic, Hugging Face)\n\nFamiliarity with Retrieval-Augmented Generation (RAG) based systems, agentic workflows and Generative AI applications\n\nFamiliarity with containerized development with Docker\n\nExperience with data science Python libraries such as pandas, NumPy, Scikit-learn\n\nExperience with Python GenAI frameworks (e.g., LangChain, LangGraph) is a plus\n\nFamiliarity with CI/CD workflows in GitLab is a plus\n\nFamiliarity with monitoring and logging tools (e.g., Prometheus, Grafana) is a plus\n\nFamiliarity with gRPC for high-performance service communication is a plus\n\nFamiliarity with Model Context Protocol (MCP) is a plus\n\nFamiliarity with AI observability and tracing tools (e.g., Langfuse) is a plus","description_format":"text","description_chars":2629,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Romania","iso":"RO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","IT Staffing & Staff 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