AI Software Engineer (LLM / Python / SQL)

We are looking for a full-time, remote AI Software Engineer with 2+ years of experience in software engineering. This role is f or an engineer who specializes in building LLM-powered product features — prompt pipelines, tool use, evaluations, and agent workflows — and who wants to apply that craft to a mission-critical life sciences product. Solid full stack fundamentals in Python are necessary. This role puts them to work at the AI layer.

In this role you will build and evolve the AI systems at the conversational interface that turns natural-language questions into validated SQL analyses over clinical trial data. You'll design agent workflows, engineer prompts, build the evaluation suites that prove our AI answers are correct, and put the guardrails and oversight in place that clinical research demands. You'll have real ownership and the support to keep deepening your craft.

Our client helps leading companies leverage AI to solve their hardest life sciences challenges via software platforms and strategic consulting services that enhance discoveries, expedite development, and improve outcomes with data-driven decision-making. The client team comprises creative and results-focused individuals who excel at solving real-world problems. Their diverse backgrounds bring technology and expertise from various disciplines including neuroscience, physics, engineering, computational biology, genomics, mathematics, and computer science.

Responsibilities:

• Understand, design, implement, and support stories ranging from small fixes to substantial features (roughly 0–21 story points), including the automated tests that prove correctness
• Design, build, and support LLM-powered features: prompt engineering, structured outputs, tool/function calling, retrieval, and agent workflows built with LangChain/LangGraph
• Build and maintain evaluation suites that measure the correctness of AI responses — including generated SQL — and catch regressions before customers do
• Implement guardrails, human-oversight points, and production monitoring for AI features,and check prompt and context data for quality and appropriateness
• Document the intended use and limitations of the AI features you build, consistent with our responsible-AI practices
• Contribute readable, maintainable, and performant Python code — and help raise the bar for the codebase as a whole
• Contribute to software architecture and design, and help validate designs and test plans with the team
• Recognize and act on opportunities to refactor existing code to improve its readability, maintainability, and quality
• Apply secure-coding practices (input validation, parameterized queries, injection prevention) and handle clinical data according to its sensitivity
• Mentor less-experienced engineers and participate in the hiring and interviewing process for new teammates
• Participate in code reviews and agile ceremonies: sprint planning, standups, demos, and retrospectives
• Help triage and resolve production issues, debugging root causes for customer-reported problems and clearly communicating resolutions to customers and the internal team
• Teach others through educational presentations in team and company venues
• Contribute to internal and external documentation and knowledge base articles
• Participate in blameless postmortems to identify failure points and prevent recurrence

Required Experience

• Excellent English communication skills
• 2+ years of professional Python experience
• Hands-on experience building with LLMs: prompt engineering, structured outputs, tool/function calling, and frameworks like LangChain/LangGraph
• Experience evaluating the correctness of AI responses — golden datasets, LLM-as-judge, or evaluation frameworks — and iterating on prompts and pipelines based on the results
• Experience with relational databases, SQL, and Object-Relational Mappers (ORMs), including comfort writing and validating analytical SQL
• Experience building web applications, especially with Django and REST APIs; enough React familiarity to collaborate across the stack
• Competency with the infrastructure of software development: shell scripting, GitHub Actions, test frameworks, Docker, and CI/CD
• Experience with GCP products and infrastructure such as GKE and Cloud SQL
• Experience with data extraction, transformation, and loading (ETL) using numpy, Pandas (or Polars), and CSV manipulation
• Experience in the life sciences and its terminology is valued

Desired Experience

• BS or higher in Computer Science, Data Science, or a related field (or equivalent practical experience)
• Experience designing agentic AI architectures that employ graphs of agents and tools to deliver complex interactions across multiple data sources
• Experience creating agentic coding workflows and AI skill definitions that accelerate overall team velocity
• Experience with retrieval-augmented generation, embeddings, and vector search
• Experience in regulated data environments (HIPAA, GxP, 21 CFR Part 11) or with clinical trial data standards such as CDISC/SDTM
• Experience analyzing and solving software system performance problems
• Experience leading a scrum team and contributing to performance conversations

Additional Information

• Knowing your ideas are heard and matter think big!
• You get to own your job and be recognized for your contributions
• Work with smart and creative people
• Making mistakes is human. Let's learn from them. Be transparent!
• We recognize you as an individual no presumptions or judgment. Be the extraordinary you!
• 15 days Paid Time Off (PTO), 1 floating day, 3 sick days, and designated national holidays
• Start: ASAP

About Velozient

We are a privately held, nearshore software development company providing outsourced development resources to North American companies. Our mission is to offer development talent that enjoy taking on challenging work, want to grow their skills and experiences building software, and excel in a fast-paced, dynamic team environment. We are focused on providing world-class remote resources to work as valued client team members. If this type of opportunity excites you, then consider joining our team!