Backend Software Engineer - Codex for Finance
Build backend systems, data infrastructure, agentic workflows, and enterprise integrations that make AI useful and trustworthy for financial institutions. The role requires 5+ years of software engineering experience, backend-language proficiency, and experience with production data-intensive or distributed systems.
About the job
Responsibilities
- Design and build backend systems powering AI-native financial workflows across ChatGPT Work and Codex.
- Build infrastructure to ingest, index, retrieve, and serve financial data, company filings, market information, and firm-specific knowledge at scale.
- Develop secure integrations with financial data providers, enterprise knowledge systems, and customer environments, including authentication, authorization, and entitlements.
- Build systems that enable models and agents to use the right tools and data, preserve source provenance, and produce accurate, verifiable outputs.
- Improve the reliability, latency, observability, and quality of production systems.
- Develop evaluations that measure performance on real financial workflows.
- Work directly with financial institutions to understand customer needs, unblock deployments, and turn feedback into product improvements.
- Partner with product, design, research, security, and engineering teams to take capabilities from prototype to scaled production.
Requirements
- 5+ years of professional software engineering experience.
- Proficiency in one or more backend languages such as Python, Go, Rust, or TypeScript.
- Strong foundation in APIs, data systems, and distributed systems.
- Experience building data-intensive applications, search or retrieval systems, infrastructure platforms, or complex integrations.
- Strong product instincts and ability to turn ambiguous customer problems into practical, well-engineered solutions.
- Comfort working across the stack and organizational boundaries.
- High standards for reliability, security, privacy, and performance, particularly in enterprise or high-trust environments.
- Interest in applying AI model capabilities to complex professional work.
Nice-to-haves
- Direct AI/ML or financial services experience.
- Experience as a founder, early startup engineer, or engineer who helped build a new product from scratch.
Compensation
- Annual salary: $293,000–$325,000.
Skills
Python, Go, Rust, TypeScript, APIs, Data Systems, Distributed Systems, Search Systems, Retrieval Systems, Infrastructure Platforms, Authentication, Authorization, Observability, AI/ML, Financial Data
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