
AI Agent Developer
Value Driven Solutions
contract
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Python
About the role
- Audit agent opportunities and outline 12-24 month deployment roadmaps with phased autonomy levels.
- Develop and debug agentic systems, incorporating RLHF for adaptive behavior.
- Integrate with external tools/services, ensuring robust error handling and logging.
- Run pilots with A/B comparisons, quantifying ROI (e.g., DSO reductions).
- Evangelize via case studies and train portco devs for maintenance.
Requirements
- Bachelor's/Master's in AI/SE
- 4+ years in agent development with multi-agent deliveries
- Expertise in LangChain/AutoGen, reinforcement learning basics, and async Python.
- Proven P&L impact from agents (e.g., >$5M in ops savings)
- Strong debugging for edge cases in dynamic environments.
- Cross-functional influencer for adoption barriers
Benefits
- Up to 75% travel for on-site tuning and adoption drives
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
agent developmentmulti-agent deliveriesLangChainAutoGenreinforcement learningasync Pythondebuggingerror handlingloggingA/B testing
Soft skills
cross-functional influencingtrainingevangelizingquantifying ROIcommunication
Certifications
Bachelor's in AIMaster's in AIBachelor's in Software EngineeringMaster's in Software Engineering