Senior AI Engineer (Python / Node.js)

We are seeking a remote, full-time Senior AI Engineer with 5+ years of software and AI / ML engineering experience. Candidates must have a strong background in Python and either Golang, Node.js, or Java expertise, with a strong desire to adopt Golang as the primary back-end technology.

In this position, you will be at the heart of the client's product innovation, responsible for designing, implementing, and operationalizing AI-native services that transform the utility sector. This role combines applied AI / ML expertise with strong back-end engineering skills, ensuring the client's agentic systems are not only functional but scalable, secure, and production-ready.

As a key member of our engineering team, you will report directly to the CTO and operate within small, agile teams alongside software engineers, security experts, and product managers. You will own the full lifecycle of AI services from data ingestion and model training to real-time deployment and monitoring while continuously adapting to evolving requirements in a fast-moving, high-stakes industry.

Our client is building an AI-centric operating system for utilities. It harnesses AI at the enterprise level to better orchestrate customer delight, facilitate power optimization, improve the health of the grid, and unlock flexibility at scale. Funded by a strategic industry partner and one of the founders at Groupon, the client is poised to transform how utilities run and how customers experience energy.

Responsibilities

• AI Systems Development : Architect, fine-tune, and deploy AI agents purpose-built for utility use cases, including predictive operations, customer engagement, and energy optimization
• Back-End Integration : Build APIs, microservices, and orchestration frameworks that seamlessly connect AI models with enterprise systems and grid-level data flows
• Pipeline Ownership : Design and manage the complete AI pipeline ingestion, embeddings, retrieval, evaluation, and continuous deployment, ensuring reliability and scalability
• AI Risk Mitigation : Address vulnerabilities unique to AI, such as model drift, bias exploitation, adversarial robustness, and hallucination control with sensitivity to regulated environments
• Cross-Functional Collaboration : Partner with software engineers, data specialists, and security teams to integrate AI capabilities into the broader client OS, embedding AI by design into every product release
• Speed of Delivery : Operate with urgency, delivering breakthroughs in code and AI services on cycles measured in weeks, not quarters.

Required Experience

Desired Experience

Additional Information