AI Agent Development: Build, test, and deploy AI agents and LLM-powered automation workflows.
Work hands-on with Python to analyze data, experiment with new natural language model architectures, perform prompt engineering on LLMs, benchmark and monitor model accuracy, deploy models into production for real-time inferencing to support various use cases.
Develop and maintain prompt engineering strategies for AI-powered pipelines, optimizing for reliability, accuracy, and performance.
Integrate AI outputs with Salesforce and other enterprise systems by structuring and routing model responses into the correct records, objects, and workflows.
Build PDF and document extraction pipelines using LLM models to parse clinical and operational documents and feed structured data downstream.
Support the monitoring and error handling of AI-powered workflows, troubleshooting failures and improving pipeline resilience.
Track and report on AI agent performance metrics and operational ROI, supporting data-driven decision-making for future investments.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field (recent graduates encouraged to apply).
Demonstrated experience building with LLMs and AI APIs (e.g., Anthropic Claude, OpenAI, Gemini) through coursework, personal projects, internships, or open-source work.
Proficiency in Python, including working with REST APIs, JSON data structures, and automation scripting.
Familiarity with workflow automation tools such as N8N, Zapier, Make, or similar platforms.
Understanding of prompt engineering principles and practical experience constructing prompts for complex, multi-step tasks.
Exposure to Salesforce (administration, APIs, or development) is a plus but not required.
Ability to write clean, readable, and well-documented code suitable for production environments.
Strong problem-solving skills and intellectual curiosity - comfortable researching unfamiliar tools and working through ambiguity independently.
Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Benefits

Competitive salary
Performance based bonus

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonLLMsAI APIsprompt engineeringREST APIsJSON data structuresautomation scriptingdocument extractiondata analysismodel accuracy monitoring

Soft Skills

problem-solvingintellectual curiositycommunicationindependenceresearchambiguity managementteam collaborationadaptabilitycritical thinkingattention to detail