AI & Context Engineer (FP&A)

Location: Germany (Erlangen), Romania (Bucharest), Spain (Madrid), or Portugal (Lisbon); flexible and remote work opportunities are available.

Company

hirify.global develops energy systems and technologies supporting reliable and sustainable global energy production.

What you will do

• Design and build the FP&A context layer, including structured and versioned knowledge, semantic models, governance, ownership, release, and quality rules.
• Provide permission-aware retrieval with cited sources for commodity AI tools and custom agents.
• Decompose redesigned FP&A processes into executable agent steps and build end-to-end agents, personas, templates, and reference implementations.
• Develop agent integrations with finance data models, planning and reporting systems, Microsoft 365, execution environments, feedback loops, and monitoring.
• Deploy solutions under the Finance application governance framework with security, data privacy, and Responsible AI by design.
• Support FP&A colleagues through technical guidance, design reviews, tool evaluation, rapid prototyping, and adoption recommendations.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related field.
• Longstanding professional experience in software or AI engineering, including hands-on delivery of LLM-based applications or agentic systems in a business environment.
• Experience building agents with commodity solutions, agent frameworks and harnesses, and custom agents.
• Hands-on experience with Snowflake and Azure and AWS cloud and AI services is required.
• Strong Python skills and solid software engineering practices, including Git, testing, CI/CD, and code review.
• Professional experience using AI for software development, including agentic coding tools, AI-supported testing, and review beyond prototyping.
• Practical experience with context and retrieval engineering, including prompting, embeddings, RAG, chunking, metadata, and answer-quality evaluation.
• Understanding of data models and SQL, secure-by-design principles, permission models, data privacy, and Responsible AI.
• Ability to analyse and redesign processes, translate business language into technical designs, and explain technical trade-offs to non-technical colleagues.
• Fluency in English is required.

Nice to have

• Experience with Copilot Studio.
• TypeScript as a second programming language.

Culture & Benefits

• Flexible and remote work options, with offices designed for collaboration and creativity.
• Market-aligned remuneration and an employer-financed company pension scheme.
• Opportunity to become a hirify.global shareholder.
• Professional and personal development programmes, learning materials, and self-directed learning opportunities.
• Flexible working-time models, childcare options at many locations, trial part-time work, and sabbatical opportunities.
• Inclusive workplace with equal opportunities and support for employees with disabilities.