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AI Architect ID34949

AI Architect ID34949

AgileEngineWrocław, DS, pl
6 days ago
Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI / ML, and our people-first culture has earned us multiple Best Place to Work awards.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

WHAT YOU WILL DO

  • Architect & Roadmap : Lead design sessions and produce detailed AI system blueprints, from data ingestion to inference services;
  • Agentic Pipelines : Specify and oversee construction of end-to-end LLM / ML pipelines for structured and unstructured energy data;
  • RAG & Vector Search : Define strategies for retrieval-augmented generation, vector databases, and knowledge graphs to power contract intelligence;
  • Model Development : Guide teams building models for contract auditing, price forecasting, and portfolio optimization;
  • ML Pipeline to Full-Stack Deploy : Design and oversee the end-to-end deployment of machine learning and AI pipelines into production, covering service hosting, containerization, and cloud infrastructure;
  • Standards & Best Practices : Establish coding standards, testing frameworks, and review processes for AI / ML workflows;
  • Mentorship & Leadership : Coach engineers in applied AI, review design docs, and present architecture reviews to stakeholders, including C-suite.

MUST HAVES

  • 8+ years of professional software development, with 5+ years in production ML / AI systems ;
  • Proven track record as an AI Architect or technical lead, able to envision complex systems and drive them to production;
  • Demonstrated experience in AI research & development ;
  • Publishing, prototyping novel approaches, or leading R&D projects;
  • Proven experience building with LLMs (locally hosted and API-based), plus hands-on RAG / vector search experience;
  • Fluent in designing microservices and REST APIs for AI inference at scale;
  • Strong systems-level thinking and product mindset, able to balance research and engineering trade-offs;
  • Experience with cloud-native platforms (AWS, GCP, Azure), Docker , and Kubernetes ;
  • Excellent verbal and written communication;
  • omfortable presenting to executive audiences;
  • Upper-Intermediate English level.

    • NICE TO HAVES

  • Early-stage startup experience, especially shaping nascent AI products;
  • Domain experience in energy, sustainability, or industrial infrastructure;
  • Thought-leadership in AI / ML : open-source contributions, publications, or conference talks;
  • Commitment to ethical, socially responsible AI.

    • THE BENEFITS OF JOINING US

  • Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
  • A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
  • Flextime : Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

    • Your application doesn't end here! To unlock the next steps, check your email and complete your registration on our Applicant Site . The incomplete registration results in the termination of your process.

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