AI Engineer

BGBx; United States; Remote; USD 39,000 - 61,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Paid time off

Wellness support

Life insurance

Learning opportunities

Job summary

BGBx is seeking an engineer to develop and maintain production AI agents, evaluation systems, and related tools used across healthcare, life sciences, and marketing. You will own features from design to deployment and provide production support, collaborating with senior engineers on agent architecture and with product and research partners to improve answer quality and citations.

You will build tools for retrieval, grounding, and search, connect to external APIs, and help extend middleware and

Qualifications

• 3–5 years of hands-on engineering experience, ideally with AI or data systems.
• Professional experience writing and testing Python.
• Experience integrating APIs and working through complex JSON responses.
• Experience using LLMs as a developer and interest in making AI systems reliable.
• Ability to produce high-quality code with AI‑assisted development tools, or learn to use them quickly.

Responsibilities

• Build and improve agent tools for retrieval, grounding, keyword and vector search, live-source search, analytics, and document generation.
• Connect agent systems to external APIs and data sources, and handle authentication, pagination, timeouts, and structured responses.
• Extend agent graphs and middleware, including tool-calling flows, skill selection, review steps, answer processing, and token safeguards.
• Use production data and infrastructure to improve system observability, reliability, maintenance, speed, cost, and accuracy.
• Own features through design, implementation, testing, deployment, and ongoing production support.
• Support experiments and evaluations that identify weaknesses such as unsupported answers, inaccurate citations, or context limitations.

Skills

Python

API integration

LLM development

Production ownership

Data systems

Tools

Asyncio

aiohttp

GraphQL

Job description

Role overview

Develop and maintain production AI agents, evaluation systems, and related tools used by teams in healthcare, life sciences, and marketing. You will own individual features from design through deployment and production support, while working with senior engineers on agent architecture and collaborating with product and research partners to improve answer quality, grounding, coverage, and citation accuracy.

Responsibilities

• Build and improve agent tools for retrieval, grounding, keyword and vector search, live-source search, analytics, and document generation.
• Connect agent systems to external APIs and data sources, and handle authentication, pagination, timeouts, and structured responses.
• Extend agent graphs and middleware, including tool-calling flows, skill selection, review steps, answer processing, and token safeguards.
• Use production data and infrastructure to improve system observability, reliability, maintenance, speed, cost, and accuracy.
• Own features through design, implementation, testing, deployment, and ongoing production support.
• Support experiments and evaluations that identify weaknesses such as unsupported answers, inaccurate citations, or context limitations.

Requirements

• 3–5 years of hands‑on engineering experience, ideally with AI or data systems.
• Professional experience writing and testing Python.
• Experience integrating APIs and working through technical documentation and complex JSON responses.
• Experience using LLMs as a developer and interest in making AI systems reliable.
• Ability to produce high-quality code with AI‑assisted development tools, or learn to use them quickly.
• Comfort taking ownership of features in production systems from implementation through deployment.

Nice to have

• Production experience with asynchronous Python, such as asyncio or aiohttp.
• Familiarity with agent frameworks, search and retrieval-augmented generation, embeddings, or hybrid retrieval.
• Exposure to GraphQL, analytics APIs, observability practices, or frontend-adjacent work.

Benefits and work setup

The stated salary range is €35,000–€55,000 per year.

The role offers mentorship, peer support, early responsibility, and room to grow.

• Benefits typically include
• health insurance,
• retirement plans,
• paid time off and holidays,
• wellness support,
• life insurance,
• and learning opportunities;
• availability may vary by location.