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. This role sits at the intersection of cutting-edge agentic AI development and real-world business impact - the kind of work that ships to production and stays there.

RESPONSIBILITIES

As an AI Engineer you will be responsible for:

• Building and deploying AI agents and agentic workflows using the clients 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.

REQUIREMENTS

Were looking for an AI Engineer who has:

• 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.

Will be a plus:

• Familiarity with Azure OpenAI or the Microsoft Azure ecosystem;
• Experience with V7 Go or other document-intelligence / PE-oriented AI platforms;
• Understanding of financial document structures: CIM DDQ LP reports IC memos (domain awareness not PE background required).

WHAT WILL YOU GET WITH KINDGEEK

We want you to thrive and feel supported

Professional growth: at Kindgeek we want our employees to grow and achieve ambitious professional goals. We support professional development with training and certification refunds and provide regular feedback and technical reviews.

Benefits package: Kindgeek offers all team members 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 and an opportunity to take study leaves. Depending on how long you stay in the company you can receive different health insurance packages from our partners.

Personal growth: as a part of our team you will have access to corporate English courses with a 50% reimbursement take advantage of our offline library and access a large selection of corporate training and classes. Also every employee can request any internal or external training or certification if it applies to his or her work responsibilities.

Geek community: at Kindgeek we value community even in the full-scale invasion times we take every opportunity to stick together. Our geeks organise various online and offline clubs from stretching and skiing to English. We volunteer together and support each other.

Flexibility: Kindgeek offers a hybrid working model. Team members can work remotely or from the office or Kindgeek London Hub an innovative cafe-style co-working in Lviv (its pet-friendly!).

We encourage you to apply

At Kindgeek we encourage everyone to apply regardless of nationality race gender marital status disability sexual identity or religion. We are growing into an inclusive equal-opportunity company where only professionalism competence and ideas matter. We are committed to supporting mobilised employees and veterans joining Kindgeek and facilitating their career development. We aim to bring equal opportunities to all team members and candidates especially those underrepresented in technological companies.