Senior AI Engineer

General Profile

• Senior, self-driven engineer comfortable owning complex AI systems end to end
• Strong architectural thinking combined with hands-on implementation skills
• Comfortable making technical decisions and guiding others through complex problems
• Fluent professional English for written and verbal communication
• Strong focus on robustness, scalability, and long-term sustainability

Responsibilities

• Design, build, and maintain advanced AI agents in Python that reason, plan, use tools, and complete complex multi-step tasks
• Develop agent orchestration logic and interaction patterns based on the ReAct (Reasoning + Acting) paradigm
• Engineer prompts and context inputs that steer LLM behavior across chat, copilot, summarization, and automation use cases
• Design and evolve sophisticated RAG pipelines, including document ingestion, chunking, indexing, retrieval, and response generation
• Implement and manage vector database integrations and semantic search workflows
• Integrate LLMs with internal systems, customer-facing products, and third-party services via APIs
• Evaluate, tune, and optimize AI behavior with respect to accuracy, latency, cost, hallucinations, and consistency
• Collaborate closely with the AI Solution Architect on solution design and technical direction
• Act as a technical reference within the team for AI agent development

• Approximately 10+ years of professional software development experience
• At least 2–3 years of hands-on experience developing AI- or LLM-based systems
• Strong hands-on experience developing AI agents and LLM-based systems in Python
• Experience building production applications using LLM APIs and foundation models
• Strong experience with LlamaIndex or similar frameworks for agent-based and RAG solutions
• Good understanding of RAG architectures, embeddings, and retrieval strategies
• Experience working with vector databases (e.g. Pinecone, Weaviate, FAISS, Qdrant, or similar)
• Experience implementing agent reasoning, planning, tool invocation, and control flows (e.g. ReAct-style agents)
• Experience with prompt engineering, context engineering, and behavior tuning of LLMs
• Strong understanding of AI failure modes, performance trade-offs, and responsible usage patterns

Additional Plus

• Familiarity or experience with Azure cloud infrastructure, including servers, databases, containers, and related platform services
• Experience with React for building or integrating user interfaces that interact with AI-driven functionality

Development Process & Governance

• Operate within clients’ Agile/SCRUM frameworks
• Participate in agreed SCRUM events such as sprint planning, stand-ups, reviews, and retrospectives

Why Reeinvent?

• Opportunity to work with a large, long-term Swedish client on production-grade AI solution
• Hands-on involvement in building and evolving our own product within the same AI domain
• High degree of ownership and influence over architecture and technical direction
• Collaborative, low-ego culture with strong senior expertise
• Focus on quality, sustainability, and long-term partnerships
• Flexible working setup and trust-based environment