GenAI Software Engineer

Machine Learning Technologies, LLC; New York (NY); On-site; USD 140,000 - 230,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a strong AI Software Developer with 3–5 years of hands‑on Python experience to design, develop, test, and deploy production‑quality AI applications.

The role focuses on Generative AI and Agentic AI solutions, including LLM‑powered workflows and RAG implementations. You will collaborate with product managers, data scientists, ML engineers, and business stakeholders to embed AI across products.

Qualifications

• 3–5 years of recent Python development required.
• A well‑rounded Software Developer, not just Python scripting.
• Strong hands‑on GenAI / LLM experience is important.
• Agentic AI experience highly desirable.
• Experience building production‑quality software solutions.
• Rate justified by candidate experience and complete match.

Responsibilities

• 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 RAG solutions and integrate AI capabilities into products and workflows.
• Develop AI agents and multi‑agent workflows using tools like Azure AI Foundry or CrewAI.
• Implement Agentic AI design patterns including Tool Use, Reflection, and Planning.
• Ensure AI observability, explainability, and governance within products.

Skills

Python

GenAI/LLM

Agentic AI

Production‑quality software

Cross‑functional collaboration

Prompt engineering

Tools

Azure AI Foundry

CrewAI

Job description

Job 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.

Additional Notes

• 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.

Responsibilities

• 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.