AI Engineer

Location

Remote

Country

Poland

Form of employment

B2B

Experience level

Senior

Apply Responsibilities

• GenAI Solution Development
  • Design, develop, and integrate Generative AI solutions, intelligent assistants, and autonomous AI agents to address business and operational needs.
• RAG Architecture Implementation
  • Build and maintain Retrieval-Augmented Generation pipelines and services that enhance LLM capabilities through integration with enterprise data sources.
• AI Application Development
  • Develop AI-powered applications, APIs, and backend services, including FastAPI-based solutions supporting scalable AI workloads.
• Agentic AI & Orchestration
  • Design and implement agent orchestration workflows, autonomous agent interactions, and multi-agent architectures for complex business scenarios.
• LLM Integration
  • Integrate Large Language Models with external tools, APIs, databases, and enterprise services to enable intelligent automation and decision support.
• Prototype-to-Production Delivery
  • Lead the transition of AI prototypes into production-ready solutions, ensuring scalability, maintainability, reliability, and operational readiness.
• CI/CD & Engineering Best Practices
  • Implement CI/CD pipelines, testing strategies, version control practices, and software engineering standards across AI development projects.
• Technical Documentation
  • Prepare and maintain technical documentation covering solution architecture, implementation details, deployment procedures, and operational guidelines.
• Business & Technical Collaboration
  • Work closely with technical teams and business stakeholders to translate requirements into effective AI-driven solutions. Requirements

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• Generative AI Development
  • Hands-on experience developing, deploying, and integrating Generative AI applications, intelligent assistants, or AI agent solutions.
• Agentic AI Expertise
  • Strong practical knowledge of Agentic AI concepts, autonomous workflows, agent communication patterns, and orchestration approaches.
• LLM & AI Integration
  • Experience working with Large Language Models, external APIs, tool integrations, and enterprise AI application architectures.
• RAG Architecture Experience
  • Knowledge of Retrieval-Augmented Generation concepts and practical implementation of RAG-based solutions.
• Python & API Development
  • Strong Python development skills with experience building APIs and backend services, preferably using FastAPI.
• Agent Orchestration & Multi-Agent Systems
  • Experience designing agent orchestration workflows and ideally implementing multi-agent architectures in production environments.
• Production AI Delivery
  • Proven experience taking AI solutions from proof of concept through testing, industrialization, deployment, and operational support.
• Software Engineering Practices
  • Knowledge of CI/CD processes, testing methodologies, technical documentation standards, and maintainable software development principles.
• French Language Skills
  • French proficiency at B2 level or higher, enabling effective communication with stakeholders and project teams.
• Business & Stakeholder Collaboration
  • Ability to work effectively with technical and business stakeholders while translating requirements into scalable AI solutions. What we offer

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• B2B Contract
  • Employment based on a B2B contract
• Stable and Dynamic International Firm
  • Opportunity to work in a stable, dynamically developing international company
• Engaging Projects and Latest IT
  • Chance to participate in interesting projects and work with the latest information technologies
• Competitive Rates
  • Attractive remuneration rates offeres
• Renowned International Projects
  • Involvement in the most prestigious international project
• MultiSport and Private Medical Care
  • MultiSport and Private Medical Care Nice to have

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• AI Agent Development
  • Hands-on experience building and deploying AI agents across various business and operational use cases.
• Multi-Agent Architectures
  • Experience designing and implementing collaborative multi-agent systems and agent-based workflows.
• LangGraph
  • Practical knowledge of LangGraph for building advanced orchestration and agent execution flows.
• CrewAI
  • Experience using CrewAI for developing and managing multi-agent applications.
• FastAPI Services
  • Experience designing and maintaining FastAPI-based AI services and production APIs.
• Tool & API Integrations
  • Experience integrating LLMs with external tools, enterprise systems, and third-party APIs.
• Production AI Operations
  • Experience monitoring, maintaining, and optimizing AI agents operating in production environments.
• English Language Skills
  • Professional working proficiency in English supporting collaboration within international projects and teams.

Apply & join the team

Didn’t find anything for yourself? Send your CV to praca@seargin.com