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Fintech: Finance + Technology
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We are looking for an AI Agent Engineer to join our team as part of Tech Seeds 2026. This is an engineering-first role for someone who wants their work to have real-world impact — not just demos, but agent systems that ship. You will work alongside senior engineers to design and build AI agents, workflows, and internal AI systems that improve our products and operational efficiency. This role is especially suited for candidates who are curious, fast learners, and excited to build practical AI systems in production. Production agent design today is typically centered on clear tool integration, strong instructions, safe execution, and iterative rollout, rather than purely academic model work.
What You'll Do
Design and build AI agent workflows and LLM-powered systems for real business use cases
Develop and integrate tools for agents, including APIs, internal services, databases, knowledge sources, and operational systems
Improve agent quality, latency, reliability, safety, and cost through testing, evaluation, and iteration
Build prompt structures, orchestration logic, memory or retrieval patterns, and human handoff flows where needed
Collaborate with product, business, and operations teams to translate ambiguous business problems into practical AI solutions
Contribute to backend services, internal platforms, and lightweight interfaces to support end-to-end delivery
Help define reusable engineering patterns, guardrails, and evaluation approaches for production AI agents
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related field
0–3 years of software engineering, AI engineering, or relevant internship/project experience
Strong programming fundamentals in Java or Python, TypeScript, or backend development is a plus
Good software engineering judgment, including APIs, debugging, system design, and data handling
Strong curiosity about LLMs, AI agents, tool use, retrieval, evaluation, and production AI systems
Ability to learn new domains quickly and work effectively in ambiguous environments
Ability to read, understand, and improve AI-generated code, or learn to do so very quickly
Good communication skills and the ability to connect technical work to business value
Personal projects, hackathons, or internships involving LLM apps, AI agents, RAG, automation, or internal tools
Familiarity with OpenAI APIs, Anthropic APIs, vector databases, agent frameworks, or orchestration tools
Experience with backend systems, cloud environments, observability, or production support
Exposure to fintech, crypto, customer support systems, operations workflows, or risk/compliance processes
You are self-driven, AI-native, and practical. You learn fast, like solving real problems, and are excited to turn new ideas into working systems. You do not wait to be told every step: you explore, test, iterate, and improve.
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