
Staff Software Engineer, Data (AI)
Juniper Square
Posted 2026-07-08
USD 210,000 - USD 260,000 per year
Tech & Engg
Job Description
Ovii's Interpretation of the Role
The Staff Software Engineer, Data will lead the design and delivery of a next‑generation AI‑enabled data platform for private‑market finance. You will build end‑to‑end pipelines, define architecture, and set technical standards while using LLM‑assisted development as a core workflow.
Role Snapshot
- Staff‑level individual contributor
- AI‑native data platform ownership
- Hands‑on data pipeline engineering
- Production LLM integration
- Mentor and set technical standards
Must-Have Requirements
- 7+ years software engineering
- Staff‑level technical impact
- Data pipeline / data warehouse engineering
- Production experience with LLMs
- AI‑assisted development workflow
- AWS data infrastructure
- software engineering
- data pipeline engineering
- LLM production integration
Nice-to-Have Signals
- RAG pipelines, vector stores, document extraction
- Financial‑services data domain knowledge
- Building data products for external customers
- Technical lead / TLM experience
- RAG pipelines
- financial services data
Work Setup
- Location: Americas (USA or Canada), United States
- Work mode: REMOTE
- Remote scope: COUNTRY_RESTRICTED
- Remote countries: USA, Canada
- Employment type: Full-Time
Eligibility Gates
- Visa sponsorship: unknown
Application Requirements
- Portfolio required
Not Specified in JD
- Visa sponsorship
- Travel
- Security clearance
What You'll Likely Work On
- Design and ship data normalization, schema mapping, validation, enrichment, and distribution pipelines
- Own end‑to‑end delivery, from architecture through deployment, ensuring reliability and performance
- Define the AI‑native data‑warehouse architecture for institutional financial clients
- Evaluate and select scalable technologies for the platform
- Build AI evaluation infrastructure (cross‑model comparison, deterministic checks, human‑in‑the‑loop workflows)
- Use agentic coding tools and LLM‑assisted development as the primary workflow
- Establish coding standards, review practices, and architectural documentation
- Mentor engineers and provide technical guidance as the team grows
Good Fit If You Have
- Enjoys shaping technical standards for a fast‑growing team
- Thrives in a high‑impact, greenfield environment
- Comfortable communicating design decisions to both engineering and product audiences
Skills
- Data pipeline engineering (ETL/ELT, schema design, normalization)
- LLM production integration (prompt design, model orchestration, evaluation)
- AI‑assisted development (agentic coding tools)
- AWS data services (Redshift, S3, etc.)
- Strong written communication
- AI output evaluation (failure‑mode analysis)
- RAG pipelines, vector stores (preferred)
- Financial‑services data domain knowledge (preferred)
- Building external data products (preferred)
- Technical lead / TLM experience (preferred)
Remote Eligibility
- United States
- Americas (USA or Canada)