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/ML 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