AI Engineer

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Kindgeek

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

Fintech • Software Development

Kindgeek is a company specializing in fintech software development, providing core banking and payment solutions as a software shortcut for businesses aiming to launch fintech products, including digital wallets and neobanks. They offer a comprehensive range of services from ideation to deployment, with a focus on building regulatory-compliant finance solutions. Kindgeek assists with product management, maintenance, and modernization of existing software to enhance business processes. Their expertise includes integration with payment gateways, security systems, and AI/ML innovations. Kindgeek is recognized for driving innovation in the fintech industry, offering solutions like white label neobank and core payments platform, making it easier for businesses to enter the digital finance market.

📋 Description

• 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

🎯 Requirements

• 3-5 years of Python development experience • 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) • Proactive working style: raises issues early, communicates without prompting, treats documentation as part of deliverable • Experience in a regulated or security-sensitive environment, or demonstrable commitment to data integrity and auditability • Familiarity with Azure OpenAI or the Microsoft Azure ecosystem is a plus • Experience with V7 Go or other document-intelligence / PE-oriented AI platforms is a plus • Understanding of financial document structures: CIM, DDQ, LP reports, IC memos (domain awareness, not PE background required)

🏖️ Benefits

• 18 working days of fully paid vacation • 10 compensated by 50% sick leaves without a note from the doctor • Opportunity to take study leaves • Different health insurance packages from partners • 50% reimbursement for corporate English courses • Access to offline library • Large selection of corporate training and classes • Request for any internal or external training or certification if it applies to work responsibilities