> Markdown version of [/jobs/ext/2830665-genai-specialist-data-scientist-ai-agents](https://www.wearedevelopers.com/jobs/ext/2830665-genai-specialist-data-scientist-ai-agents). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# GenAI Specialist / Data Scientist - AI Agents

- **Company:** BPX, INC.
- **Location:** United States (Remote available)
- **Contract:** Temporary to permanent
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, Microsoft Azure, Cloud Computing, Computer Programming, Software Design Patterns, Python (Programming Language), Object-Oriented Software Development, Cloud Services, Cloud Platform System, Large Language Models, Multi-Agent Systems, AWS Lambda, AWS Glue, Virtual Agents, Automation Anywhere
- **Published:** September 10, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pj267ng8od

## About the Role

* Hands-on experience with Large Language Models (LLMs) and Agentic AI / AI Agents.
 * Practical experience with OpenAI and/or Anthropic Python libraries, LangChain, or comparable frameworks.
 * Proven experience deploying GenAI or AI Agent solutions into production.
 * Advanced Python programming skills, particularly:
 * object-oriented programming (OOP),
 * design patterns,
 * modern Python development practices.
 * Hands-on experience with AWS cloud technologies, particularly:
 * AWS Glue,
 * Amazon Athena,
 * AWS Step Functions,
 * AWS Lambda.
 * Strong understanding of cloud-based architectures and production-grade AI solutions.
 * Experience working in agile development environments and with tools such as Azure DevOps or Jira.
 * Excellent written and spoken English.

## Description

* Design, build, and deploy AI Agents and Agentic AI workflows for real-world business use cases.
 * Develop solutions using Large Language Models (LLMs) and relevant AI/agent frameworks and SDKs.
 * Integrate AI workflows with existing applications, data sources, and cloud-based services.
 * Build scalable, production-ready solutions within an AWS environment.
 * Optimize agent behaviour and outputs to deliver measurable business value.
 * Design and implement tests to evaluate agent performance, reliability, and impact on business processes.
 * Develop clean, reusable, and maintainable solutions using Python and object-oriented programming (OOP).
 * Collaborate with technical and business stakeholders within an agile development team.