Senior AI Builder

About the role

EarnIn is transforming its engineering culture by embedding AI-native workflows into every stage of the product lifecycle. We are seeking a builder to create the production-grade infrastructure, agents, and guardrails that allow our teams to ship faster and more reliably.

Key facts

What you'll do

• Architect agentic systems including reasoning chains, tool calling, and prompt management for production use.
• Redesign the product development lifecycle by replacing manual tasks with automated agent workflows.
• Build and maintain evaluation pipelines, benchmarks, and quality gates to monitor model performance and reliability.
• Develop reusable libraries and templates that allow engineering squads to integrate AI features rapidly.
• Establish standards for generation-to-merge metrics and review latency.

Requirements

• 4+ years of full-time software engineering experience.
• 2+ years of experience building internal developer tools, platforms, or infrastructure.
• Bachelor, Master, or PhD in Computer Science, Computer Engineering, or equivalent industry experience.
• Practical experience with LLM integration, including RAG, prompt engineering, and agent architectures.
• Proficiency in MCP, LangChain, or similar orchestration frameworks.
• Experience working with open source LLM models.
• Ability to work across the full stack.

Nice to have

• Practical knowledge of reinforcement learning, specifically RLHF, RLAIF, or reward modeling.
• Background in fintech or other highly regulated, security-focused industries.
• Experience with AI governance, such as audit logging, bias evaluation, and model cards.
• Familiarity with multi-step reasoning or human-in-the-loop system design.

Skills & tools

• LLM orchestration (LangChain, MCP)
• Agent architecture
• Evaluation and benchmarking infrastructure
• Full-stack software development

Practical notes

EarnIn participates in E-Verify. The hiring process may involve the use of AI tools for tasks such as resume screening or interview transcription; however, all final hiring decisions are made by human staff. Candidates may opt out of interview recording without impacting their application status.