Staff AI Engineer
Obin AI - New York, United States
Hiring: Staff AI Engineer Company: Obin AI Location: New York, United States Job Posted Time: 2026-09-12 17:57:41 Employment Type: Full-time Target Skills & Keywords: AI Engineering, LLM-Powered Agents, RAG, Agentic Systems, Python, GCP, A2A Orchestration, Prompt Engineering, AI Safety, System Architecture, APIs, Evaluation & Optimization, Financial Services Experience: - 8–12+ years of software engineering experience - 2–3+ years of hands-on experience building AI/ML systems, LLM-based agents, and/or RAG systems in production - Experience logging, evaluating, and optimizing AI applications - Proven ability to set architecture for agentic AI systems across products and solve ambiguous problems inherent to non-deterministic systems (context pollution, runtime state handoffs, safety) - Experience mentoring senior engineers Required Skills: - Expertise in agent-to-agent (A2A) orchestration protocols, self-correcting agent loops, and prompt-routing middleware - Strong proficiency in Python and modern AI/ML frameworks - Cloud infrastructure experience (GCP preferred) and APIs - Ability to design and deploy LLM-powered agents using RAG, including prompt design, tool use, orchestration logic, and system evaluation - Architecting and maintaining production backend systems and APIs with high availability, performance, and observability - Balancing accuracy, latency, reliability, cost, and explainability in agentic systems - Driving AI safety/reliability practices and evaluation standards - Strong intuition around system architecture, performance, and scaling - Clear communication in ambiguous, high-stakes problem spaces - Hunger to move fast, own outcomes, and build something enduring Qualifications: - Diverse backgrounds unified by deep curiosity, pragmatism, and engineering excellence - Ability to work directly with customers and partner with technical and non-technical stakeholders at major credit firms - Experience co-developing AI solutions tied directly to ROI - Comfort owning key technical decisions from day one and working directly with founders (ex-Google) - Contributing to core platform design, reusable infrastructure for agent deployment, and AI engineering best practices - Helping define engineering culture, hiring bar, and long-term technical roadmap Bonus: - Experience with human-in-the-loop systems, feedback loops, and long-horizon agentic task execution - Background in financial systems, risk modeling, or decision automation - Familiarity with PydanticAI, LlamaIndex, Google ADK, Claude Agent SDK, or similar frameworks - Built or contributed to an internal AI platform or reusable LLM tooling Compensation: Not specified Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!