Agentic AI Engineer
AI summary of the role
Early-stage AI engineer role at Obin AI, an enterprise AI company building agentic systems for financial services.
What you’ll do
- Design and deploy LLM-powered agents using RAG to automate complex credit workflows, including prompt design, tool use, orchestration, and evaluation.
- Partner with technical and non-technical stakeholders at major credit firms to co-develop AI solutions tied to ROI.
- Architect and maintain backend systems and APIs for high availability, performance, and observability.
- Balance accuracy, latency, reliability, cost, and explainability in agentic systems through rigorous experimentation.
What you’ll bring
- 5+ years of software engineering experience.
- 1+ years of hands-on experience building LLM-based agents and/or RAG systems in production.
- Proficiency in Python and experience with modern AI/ML frameworks and cloud infrastructure (GCP preferred).
- Experience with cloud infra (preferably GCP) and APIs.
Technologies
LLM · RAG · Python · GCP · PydanticAI · LlamaIndex · Google ADK · Claude Agent SDK · APIs · cloud infrastructure
Source and classification
Production engineering · Evidence for this classification:
Build the AI workforce that finance can actually trust. We are closing the gap between what AI promises and what regulated institutions can responsibly deploy. If you fall in love with hard problems — not easy answers — this is where your work matters. The Role: We're looking for AI Engineers who can help us build and scale intelligent agents from the ground up. You’ll join our team as one of our earliest hires. You'll work directly with the founders (ex-Google) and own key technical decisions from day one. You’ll be ● Designing and Deploying LLM-Powered Agents Build agentic systems using LLMs and RAG to automate complex credit workflows. This includes prompt design, tool use, orchestration logic, and system evaluation. ● Working Directly with Customers Partner with technical and non-technical stakeholders at major credit firms to understand workflow pain points and co-develop
More from the job description
Build the AI workforce that finance can actually trust. We are closing the gap between what AI promises and what regulated institutions can responsibly deploy. If you fall in love with hard problems — not easy answers — this is where your work matters. The Role: We're looking for AI Engineers who can help us build and scale intelligent agents from the ground up. You’ll join our team as one of our earliest hires. You'll work directly with the founders (ex-Google) and own key technical decisions from day one. You’ll be ● Designing and Deploying LLM-Powered Agents Build agentic systems using LLMs and RAG to automate complex credit workflows. This includes prompt design, tool use, orchestration logic, and system evaluation. ● Working Directly with Customers Partner with technical and non-technical stakeholders at major credit firms to understand workflow pain points and co-develop AI solutions that directly tie to ROI. ● Owning Production Infrastructure Architect and maintain backend systems and APIs that connect to data sources and customer platforms. Ensure high availability, performance, and observability. ● Evaluating and Optimizing Systems Balance accuracy, latency, reliability, cost, and explainability in our agentic systems. Lead rigorous experimentation and improvement cycles. ● Contributing to Core Platform Design Define technical architecture, build reusabl [... source excerpt omitted ...] and engineering excellence. Experience Required: ● 5+ years of software engineering experience ● 1+ years of hands-on experience building LLM-based agents and/or RAG systems in production ● Logging, evaluating, optimizing AI applications ● Proficiency in Python and experience with modern AI/ML frameworks and cloud infrastructure (GCP preferred) ● Experience with cloud infra (preferably GCP) and APIs ● Hunger to move fast, own outcomes, and build something enduring ● Strong intuition around system architecture, performance, and scaling ● Clear communication, especially in ambiguous, high-stakes problem spaces Bonus: ● Experience with human-in-the-loop systems, feedback lo [... source excerpt omitted ...] s + Equity About Us: Obin AI is an enterprise artificial intelligence company building the next generation of agentic intelligence for financial services. The company develops a production-ready AI workforce that runs defined workflows end-to-end inside a firm’s controls and audit boundaries, encoding institution-specific logic and producing traceable, inspectable outputs. Because of its open, no-lock-in architecture and ability to resolve even nuanced edge cases, Obin AI is trusted by leading global financial institutions representing over $1 trillion in assets under management. Obin AI enables these organizations to standardize and accelerate their core workflows — continuous m
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