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# GenAI Software Engineer

- **Company:** Robotics Technologies LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** A/B Testing, Artificial Intelligence, Software Design Patterns, Python (Programming Language), Natural Language Processing, Software Safety, Software Systems, Scripting, Retrieval-Augmented Generation, Large Language Models, SHAP (Shapley Additive Explanations), Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, CrewAI, Machine Learning Operations, Model Context Protocol, Automation Anywhere
- **Published:** October 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fd0909e3d05d0579

## About the Role

* 3-5 years of recent Python development is a key requirement.
 * The manager wants a well-rounded Software Developer, not someone focused solely on Python scripting.
 * Strong hands-on GenAI / LLM experience is important.
 * Agentic AI experience is highly desirable.
 * Candidates should have experience building production-quality software solutions.
 * Candidate experience should justify the submitted rate.
 * The top rate should be reserved for exceptional candidates who closely match the complete technical requirements.
 * There are currently 2 openings.
 * Candidates must be able to convert to permanent employment without sponsorship.
 * Candidates located in CA, IL, NJ, NY, MA, HI, AK, OR, or WA cannot be considered.
 * Automotive insurance claims experience is preferred but not required.

## Description

We are seeking a strong AI Software Developer with 3-5 years of recent, hands-on Python development experience.
This is not simply a Python Developer position. The ideal candidate will be a well-rounded Software Developer with a strong background designing, developing, testing, and deploying production-quality applications, along with recent hands-on Python experience.
The position will focus on developing and implementing Generative AI and Agentic AI solutions, including LLM-powered applications, RAG solutions, prompt engineering, NLP, and AI agents/workflows.
The engineer will collaborate with product managers, architects, data engineers, data scientists, ML engineers, and business stakeholders to integrate AI capabilities into applications, products, workflows, and business processes., * Design, develop, test, and deploy production-quality software and AI applications.

 * Develop GenAI and Agentic AI solutions using Python.
 * Design, develop, test, and optimize prompts for Large Language Models.
 * Build and integrate Retrieval-Augmented Generation (RAG) solutions.
 * Develop AI agents and multi-agent workflows using tools such as Azure AI Foundry, CrewAI, or similar frameworks.
 * Implement Agentic AI solutions throughout the solution development lifecycle.
 * Apply Agentic AI design patterns including Tool Use, Reflection, and Planning.
 * Develop effective AI interactions through programming and AI development environments.
 * Conduct A/B testing on prompt variants, AI workflows, and automation solutions.
 * Analyze model behavior, AI-agent paths, deviations, and performance degradation.
 * Collaborate with product managers, data scientists, ML engineers, architects, data engineers, and business stakeholders.
 * Integrate GenAI and Agentic AI capabilities into existing products, applications, and business workflows.
 * Create reusable AI libraries and technical documentation.
 * Support AI observability, monitoring, explainability, and governance initiatives.
 * Implement explainability frameworks utilizing technologies such as Model Context Protocol (MCP) and SHAP.
 * Follow data-quality, security, governance, compliance, and responsible-AI practices.
 * Develop appropriate AI safety controls and filters.
 * Stay current with advancements in LLMs, RAG, prompt engineering, NLP, and Agentic AI.
 * Provide technical guidance and mentorship to junior team members.