{"id":1729400,"url":"https://alion.io/job/mercanis-senior-agentic-ai-engineer-mfd","title":"Senior Agentic AI Engineer (m/f/d)","company":{"id":2183776,"name":"Mercanis","domain":"mercanis.com","url":"https://alion.io/company/mercanis","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":{"grade":"D","score":48,"open_postings":15,"ghost_share":0.867,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":75000,"max_usd":155000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Docling","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LangGraph","optional":false},{"name":"LiteLLM","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-06-23T15:33:09Z","employer_posted_date":"2026-06-23","last_verified_at":"2026-10-18T01:09:46Z","board_verified":true,"closed_at":null,"days_open":117,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":116},"description":"Your mission at Mercanis\nAt Mercanis, we are building the Agentic AI Procurement Suite that powers the procurement of tomorrow, digital, transparent, and intelligent.We are looking for an experienced Agentic AI Engineer to join our growing AI team. In this role, you will design, build, and optimize agentic AI systems that automate complex procurement workflows and power intelligent decision-making across our platform.\nYou will work with cutting-edge technologies in Python, LangGraph, and AWS, integrating and fine-tuning models from leading providers such as OpenAI, Anthropic, and AWS Bedrock.\nYour work will have a direct impact on how organizations streamline their procurement processes and leverage AI for strategic advantage.\nYour Responsibilities on this role\nStrong professional experience in Python software development\nProven experience building AI-driven or agentic systems, preferably with LangGraph or similar frameworks\nSolid understanding of Large Language Models (LLMs) and their integration with external APIs or structured data\nHands-on experience working with LLM providers such as OpenAI, Anthropic, or AWS Bedrock\nFamiliarity with cloud-based deployment and scaling, ideally using AWS services\nStrong problem-solving skills with a focus on maintainable, efficient, and scalable code\nA collaborative mindset and comfort working remotely with distributed teams\nCuriosity, adaptability, and a passion for staying ahead in the evolving world of AI\nBonus: Experience with semantic search technologies (vector databases, embeddings, RAG systems)\nBonus: Strong background in measuring, evaluating, and optimizing AI system performance with clear metrics and benchmarking\nBonus: Experience implementing observability and monitoring solutions for AI systems to track quality and iterate on improvements\nBonus: Experience building or integrating MCP (Model Context Protocol) servers for extending AI capabilities\nBonus: Knowledge of agent-to-agent (A2A) communication patterns and multi-agent system architectures\nRole requirements\nTech stack you will work with:Languages: Python\nFrameworks & Tools: LangGraph & related LLM orchestration tools, Docling, LiteLLM, Phoenix\nInfrastructure: AWS (Lambda, S3, ECS, and more)\nModels: OpenAI, Anthropic, AWS Bedrock, and other foundation model providers\nWhy to join us here at Mercanis?\nThe chance to shape the future of AI in procurement, designing intelligent systems that have real business impact A collaborative and innovative culture that values experimentation and continuous learning\nReal ownership and autonomy in developing core AI components and system design\nCareer growth opportunities in applied AI engineering and architecture\nFlexible remote setup in Spain\nA team that values transparency, curiosity, and technical excellence","description_format":"text","description_chars":2799,"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":["Continuous learning","Growth 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