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AI Agent Developer at Value Driven Solutions, Remote

Step into the Contract AI Agent Developer role at Value Driven Solutions to craft autonomous AI entities that autonomously bridge P&L gaps in PE portcos, from dynamic pricing agents in e-commerce to supply-chain re-order bots in manufacturing. Requiring up to 75% travel for on-site tuning and adoption drives, you’ll diagnose operational silos—such as delayed A/R collections or inventory overstock—and engineer multi-agent systems using CrewAI, AutoGen, or LangGraph, achieving 25-40% process accelerations and $15M+ in direct financial impact through self-healing workflows.

Your scope includes agent design with modular components (perception, planning, action, reflection), tool integrations (APIs for ERP/CRM), and orchestration for collaborative swarms (e.g., negotiation agents for vendor bids). You’ll implement memory mechanisms (vector stores for long-term recall) and safety guardrails (human-in-loop escalation), testing in simulated environments before live rollouts. Collaborating with product owners, you’ll measure efficacy via KPIs like task success rate and cost per resolution, briefing executives on scalability paths. This demands developers with shipped agent fleets in production, adept at turning chaos into orchestrated intelligence.

VDS empowers you to federate agents across portcos, evolving our Agentic AI reference architecture.

Key Responsibilities:

• 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.

Required Qualifications:

• 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.

Preferred Experience:

• Agents in HR/finance (e.g., onboarding, collections) for PE.
• Hybrid cloud-edge deployment for low-latency autonomy.
• Open-source contributions to agent frameworks.

To apply: Send CV + short note on the specific impact you’ve driven with AI agents in private-equity or industrial settings. Include role title in subject line and your availability.

Leadership Solutions – Value Driven Solutions Accelerating Agentic AI adoption in private equity portfolios