Forward Deployed AI Engineer

Obin AI

. Design and deploy LLM-powered agents using prompt design, tool use, orchestration logic, RAG, and system evaluation .

Posted 11/10/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $200,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying LLM-powered agents, with a strong focus on system architecture, performance optimization, and collaboration with stakeholders. Proficient in Python and experienced with modern AI/ML frameworks and cloud infrastructure, particularly in financial systems.

Highest-signal resume keywords

LLM-Based Agent DevelopmentPython ProficiencyCloud Infrastructure ExperienceSystem Architecture IntuitionAI/ML Framework Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringMulti-Agent OrchestrationRAG SystemsVector DB RoutingAI Application OptimizationTechnical Architecture DefinitionExperimentation and Improvement CyclesPerformance EvaluationCost OptimizationHuman-In-The-Loop Systems

Soft Skills

Clear CommunicationCollaboration with StakeholdersProblem-Solving in Ambiguous Situations

Tools & Technologies

PydanticAILlamaIndexGoogle ADKClaude Agent SDKAPIs

Industry Keywords

Financial SystemsRisk ModelingDecision Automation

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Design and deploy LLM-powered agents using prompt design, tool use, orchestration logic, RAG, and system evaluation
Partner with technical and non-technical stakeholders at major credit firms to understand workflow pain points and co-develop AI solutions tied to ROI
Architect and maintain backend systems and APIs connecting to data sources and customer platforms
Ensure high availability, performance, and observability of production infrastructure
Balance accuracy, latency, reliability, cost, and explainability in agentic systems
Lead rigorous experimentation and improvement cycles
Define technical architecture and build reusable infrastructure for agent deployment
Shape Obin’s AI engineering best practices
Help define engineering culture, hiring standards, and the long-term technical roadmap
Work directly with founders and own key technical decisions

Requirements

What you’ll need

6-10+ years of software engineering experience
1-2+ years of hands-on experience building LLM-based agents and/or RAG systems in production
Experience building multi-agent orchestration, RAG systems, vector DB routing, LLM latency and inference cost optimization, and evaluation/guardrail frameworks
Experience logging, evaluating, and optimizing AI applications
Proficiency in Python
Experience with modern AI/ML frameworks and cloud infrastructure, preferably GCP
Experience with cloud infrastructure and APIs
Strong intuition around system architecture, performance, and scaling
Clear communication, especially in ambiguous, high-stakes problem spaces
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
Experience building or contributing to an internal AI platform or reusable LLM tooling

Benefits

Comp & perks

Equity
Some roles might be bonus eligible