LEAD Consult is a dynamic, customer-oriented company, specialized in providing business and IT consulting services in the energy and financial sectors, as well as in software development and IT outsourcing.
We're seeking an AI Engineer to design and build autonomous agent systems and optimize LLM-powered solutions. You'll focus on developing intelligent agents with tool execution capabilities while implementing robust RAG architectures and model optimization strategies.
What's great in the job?
- Competitive remuneration and bonus scheme linked to individual performance and company results
- Standard working hours
- 25+ days annual paid leave
- Work flexibility and remote work
- Food vouchers
- MultiSport card
- Psychological support and counselling from a corporate psychologist when needed
- Working place in a class A building situated a few steps form a subway line and public transport
- Opportunities for personal and professional growth
- Additional health insurance (outpatient & hospital medical care, dental care, coverage of dioptric glasses and more)
- A detailed company training on highest standards
- A chance to work in friendly and supportive culture
- Tremendous growth opportunities in fast moving international team
Responsibilities
- Design and develop AI-powered agents that automate internal workflows, integrate with enterprise systems, and improve operational efficiency
- Build autonomous, multi-step agents with tool execution, memory, state tracking, and safe action boundaries
- Design secure agent toolchains for Microsoft 365 (Graph API, SharePoint, Teams, Outlook) and internal REST/Jira/Confluence systems
- Develop workflow automations using suitable orchestration tools and platforms (e.g., n8n framework, Azure AI automation stack, Google AI automation tools, event-driven automation frameworks)
- Implement and optimize modern RAG architectures to enhance retrieval quality, document understanding, and knowledge integration
- Leverage modern open-source LLM and automation frameworks to design and adapt AI-driven solutions
- Perform targeted model customization or fine-tuning when justified by a specific use case
- Ensure permission-aware, auditable, sandboxed execution for all agent actions
- Improve agent reliability through monitoring, error analysis, and workflow refinement
- Share best practices by conducting workshops, presentations and promoting responsible AI development
Requirements
- Strong programming skills in Python for agent development, automation, RAG pipelines, and ML-related tasks
- 6+ months hands-on experience designing and implementing agentic systems with tool use, function calling, and multi-step reasoning (production or advanced projects)
- Understanding of modern RAG architectures (chunking strategies, retrieval methods, reranking)
- Ability to design secure, permissioned, and auditable automation flows
- Familiarity with Microsoft Graph API and M365 integrations (SharePoint, Teams, Outlook) nice to have, but not a must
- Experience with API integration, automation frameworks, and containerized runtimes
- Understanding of data governance, identity boundaries, and safety measures for autonomous agents
- Knowledge of fine-tuning and model evaluation techniques (nice to have, but not a must)
Desired skills and experience
- Experience with orchestration or automation platforms such as n8n, Azure-based automation services, or other event-driven workflow frameworks.
- Experience with Qdrant or equivalent vector databases
- Familiarity with Azure OpenAI, Azure AI Foundry, or exposure to Google’s AI ecosystem (Gemini, Vertex AI) as an alternative stack, nice to have, but not a must
- Experience creating connectors for Jira, Confluence, SharePoint libraries, or similar enterprise systems
- Experience building agent evaluation mechanisms, guardrails, and safety policies
- Background in workflow automation, scripting or event-driven integration patterns