AI Engineer: Designing Intelligent Systems for Utility Transformation
As a key member of our engineering team, you will be at the heart of our 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 our agentic systems are not only functional but scalable, secure, and production-ready.
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 product OS, embedding AI by design into every release
* Speed of Delivery: Operate with urgency, delivering breakthroughs in code and AI services on cycles measured in weeks, not quarters
Required Experience:
* Excellent English communication skills
* 5+ years of applied ML/AI engineering experience, ideally with exposure to enterprise/mission-critical systems
* Strong proficiency in Python and either Golang, Node.js, or Java (non-Golang developers will learn and adopt Golang on the job)
* Expertise with ML/LLM frameworks, such as PyTorch, TensorFlow, LangChain, or equivalent
* Experience with vector databases, orchestration frameworks, and modern MLOps practices
* Track record of deploying AI services in production
* Strong grounding in cloud-native architectures (AWS, GCP, Azure)
* Analytical, collaborative, and comfortable with ambiguity
* Ability to thrive in small, high-velocity teams, balancing experimentation with production rigor
Benefits:
* 15 days Paid Time Off (PTO), one floating day, three sick days, and designated national holidays
* Fun, fast-growing entrepreneurial environment
* Part of a highly collaborative learning culture, share knowledge, be inclusive, learn, and grow together. Embrace teamwork
* You get to own your job and be recognized for your contributions
* Work with innovative and creative people
* Making mistakes is human. Let's learn from them. Be transparent
* We recognize you as an individual, with no presumptions or judgment. Be the extraordinary you