About Us

At BGBx, we're driven by a simple idea: breakthrough thinking creates breakthrough impact. As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives, technologists, and data experts to tackle some of healthcare's most important challenges.

Our teams work across consulting and communications to help clients shape strategy, launch innovations, engage stakeholders, and drive meaningful results throughout the product lifecycle. The work is complex, fast-moving, and deeply connected to improving lives, creating opportunities for curious minds to make a real difference every day.

If you're energized by collaboration, inspired by innovation, and motivated by work that matters, you'll find a place to grow, contribute, and make a meaningful impact at BGBx.

Position Overview

We are looking for an AI Engineer with 3-5 years of experience to help maintain and evolve our fleet of AI agents, LLM-as-a-judge systems, and other AI-powered tools used by healthcare, life sciences, and marketing teams. This role will work closely with senior engineers on graph design and with product and research teams to define what “a good answer” means, including grounding, coverage, and citation honesty.

You’ll join an AI-native engineering team that pushes modern tools hard, operates with high autonomy, and moves quickly - without compromising on security, reliability, or sound engineering principles. We actively use AI throughout the engineering lifecycle to accelerate development, investigation, documentation, and operations. At the same time, we care deeply about good architecture, maintainable systems, sensible controls, and knowing when not to automate.

The AI Engineer will contribute to the continued development of these systems by improving tools, retrieval and citations, agent architecture, and overall system speed, cost, and accuracy. They will also support evaluations and experiments that help us understand and improve system performance.

We are looking for someone with strong Python skills and a solid understanding of LLM systems who is excited to continue growing their technical depth. At this level, the engineer should be comfortable owning a component of a production service from design through testing and review, while partnering with more senior engineers on broader architecture and system design.

Responsibilities

Agent tools: Create new agent tools and improve existing ones across retrieval and grounding, vector and keyword search, live-source search, analytics queries, PDF generation, and more. Integrate external APIs and data sources into our agent systems, including Pinecone, Meilisearch, Hasura, Cube, and GCP.
Graphs and middleware: Extend and improve our agent state machines, including skill resolution, tool-calling loops, review gates, answer post-processing, and token guards.
Observability and operations: Work with real production data and infrastructure and help improve the observability, reliability, and ongoing maintenance of our AI systems.
End-to-end ownership: Own features from design and implementation through testing, deployment, and production support.

Qualifications

3-5 years of hands-on engineering experience, ideally working with data and/or AI systems.
Professional experience writing and testing Python.
Experience integrating APIs, including reading documentation and working with pagination, timeouts, authentication, and complex JSON responses.
Experience using LLMs as a developer and an interest in building reliable AI systems, including addressing issues such as hallucinations, incorrect citations, and context limitations.
Ability to write high-quality code using AI-assisted development tools such as Cursor, Codex, or Claude Code, or willingness to learn quickly.
Comfort working with production systems and taking ownership of features through implementation, testing, and deployment.

Hands-on experience with the Ximosing framework

Nice to have