Senior AI Developer - MCP - Python

Senior AI Developer

Location: Remote / Global Collaboration

Employment Type: Full-Time

Job Description

Reporting to the CTO, we are seeking a senior, hands-on technologist to lead our team through the design, implementation, and deployment of agentic AI, model process control and reinforcement learning–driven systems products. This role is central to pushing our platform from strong early capabilities into a robust, scalable product used in real operational settings.

This is a builder role, not a research-only position. Success is measured by working systems in production.

Duties and responsibilities include:

• Leading the architecture, design, strategy, development and implementation of agentic AI systems capable of goal-driven decision-making, planning, and action under real-world constraints
• Translate product and customer requirements into concrete AI system designs
• Drive rapid iteration of deployment while maintaining system reliability and safety
• Participating in peer-reviews of solution designs and related code
• Working with teammates to dive efficiencies to development procedures
• Analyzing and resolving technical problems
• Defining standards for the platform to deliver AI solutions
• Balance learning-based approaches with deterministic or rules-based components where appropriate
• Support customer-facing and sales technical discussions when AI and platform expertise is required

Core Requirements

• 10+ years of experience building complex software products, with significant focus on AI/ML or Data Science
• 2+ years building agentic AI using common frameworks / MCP
• Demonstrated experience deploying decision-making systems in customer cloud, on-prem or hybrid environments
• Strong foundation in machine learning, control, optimization, and anomaly detection
• Experience designing agent-based autonomous products
• Excellent software engineering skills (Python, SQL, UX a strong plus)
• Ability to make sound technical decisions with incomplete or imperfect data and translate those to development plans

Secondary Requirements

• Agentic AI frameworks and orchestration
• Reinforcement Learning for decision making
• Digital twins, physical models / simulators, or model-based RL
• Experience in process control or industrial IoT settings and timeseries data Prior experience at an early-stage or Series A/B startup
• Familiarity with MLOps, model monitoring, and production ML reliability
• Familiarity with QA techniques for AI
• Working knowledge of SOC2 & ISO 27001 standards
• Omniverse USD