Senior AI Product Engineer - Production ML for Transit

Citian; Washington (District of Columbia); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Generous PTO

401(k) company match and commuterbenef

On-site gym and free snacks

Job summary

Citian invites a product-minded software engineer to design, build, and ship AI-enabled capabilities that integrate with our existing software stack. You will work across product, design, data science, and customer success to validate where AI adds value and ensure production-ready quality from data access to deployment.

You will balance prompt-based techniques, tool usage, retrieval, and potential fine-tuning, maintaining traceability, security, and governance while delivering reliable features

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 5+ years building production software with shipped LLM features.
• Ability to take an ambiguous product problem through technical discovery, implementation, evaluation and production delivery.
• Has designed and run evaluations for LLM output: test sets, correctness and grounding measures, regression gates, and catching wrong answers before customers do.
• Full-stack skills: Python or TypeScript back ends, SQL and relational databases (PostgreSQL), APIs, and enough front end to ship a feature end to end.
• Production practices: code review, CI/CD, testing, monitoring and cost tracking.
• Uses AI coding tools and agents effectively in daily engineering work, including implementation, testing and investigation, while independently validating their output.
• Clear written English and solid overlap with US Eastern hours

Responsibilities

• Work with product, design, Customer Success and data science to understand agency problems, and help find and validate where AI adds value and where it doesn't.
• Design, build and ship AI-enabled capabilities within our products, end to end, from data access to the application.
• Fit model-based features into our existing software and data architecture without building unnecessary AI infrastructure, and record the key design decisions.
• Design and maintain evaluations for AI features, including correctness, grounding, authorization, appropriate abstention and regression detection. Establish practical release criteria and use production feedback to improve quality.
• Make AI-generated results traceable to their underlying data, queries and assumptions.
• Enforce customer isolation and each user's own permissions, including when tools retrieve or query data, and guard against prompt injection.
• Own features in production: latency, cost, reliability, monitoring, failure modes and incident response.
• Choose the right technique for each problem (prompting, tool use, retrieval, text-to-SQL, fine-tuning or no AI at all), weighing accuracy, cost, speed and time to market.

Skills

Ambiguity handling

Cross-functional collaboration

Decision making

Code review & CI/CD

Independent validation

Education

Bachelor's degree in Computer Science, Data Science, or a related field

Tools

Python

TypeScript

SQL

PostgreSQL

APIs

Frontend basics

Job description

Citian invites a product-minded software engineer to design, build, and ship AI-enabled capabilities that integrate with our existing software stack. You will work across product, design, data science, and customer success to validate where AI adds value and ensure production-ready quality from data access to deployment.

You will balance prompt-based techniques, tool usage, retrieval, and potential fine-tuning, maintaining traceability, security, and governance while delivering reliable features