AI Engineer

Kindgeek is looking for a smart, curious, and proactive engineer who moves fast, asks the right questions, and takes genuine ownership of what they build. Your mission will be to embed directly with a global private equity firm and deliver AI-powered automation that makes their analysts, operations teams, and investment professionals meaningfully more productive.

• Building and deploying AI agents and agentic workflows using the client's internal agent framework and modern orchestration tools (LangChain, LangGraph, CrewAI, AutoGen, or similar)
• Designing and implementing RAG pipelines - including chunking strategies, embeddings, and vector store integrations (Pinecone, Weaviate, pgvector)
• Processing and structuring financial documents (PDFs, DOCX reports, tables, CIM/DDQ materials) into clean, machine-readable outputs via Python
• Integrating REST APIs and cloud services to connect agent workflows with existing business systems and data infrastructure
• Owning the full delivery cycle for each initiative: scoping, development, testing, deployment, and handover to business users
• Instrumenting agents for observability, writing test harnesses for non-deterministic behaviour, and ensuring failures are explicit and handled gracefully
• Communicating proactively with the client-side team - surfacing blockers early, documenting solutions clearly, and keeping stakeholders in the loop without being asked.

• 3-5 years of Python development experience; strong, clean, testable code is a baseline expectation
• Hands-on experience building agentic AI workflows using LLM orchestration frameworks (LangChain, LangGraph, CrewAI, AutoGen, or similar)
• Experience with Claude API (Anthropic) - prompt engineering, tool use, multi-turn conversations, streaming
• Practical knowledge of RAG pipeline design: chunking, embedding models, and vector stores
• Experience with document processing: PDF/DOCX extraction, structured output generation, table parsing
• Comfort integrating REST APIs and working across the stack - data transformation, prompt engineering, deployment
• Strong written and spoken English (Upper-Intermediate minimum) for direct async communication with the client team
• Proactive working style: you raise issues early, communicate without prompting, and treat documentation as part of the deliverable
• Experience in a regulated or security-sensitive environment, or demonstrable commitment to data integrity and auditability.

• Competitive compensation and a benefits package that includes 18 working days of fully paid vacation
• 10 compensated by 50% sick leaves without a note from the doctor
• An opportunity to take study leaves
• Different health insurance packages from partners depending on the length of service
• Access to corporate English courses with a 50% reimbursement
• Access to a large selection of corporate training and classes
• Opportunity to request any internal or external training or certification that applies to work responsibilities
• Engagement in online and offline clubs, volunteering opportunities.