AI Engineer (contract)

Key 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.
• Backend 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 full 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, hallucination control – with sensitivity to regulated environments.
• Cross-Functional Collaboration: Partner with software engineers, data specialists, and security teams to integrate AI capabilities.
• Speed of Delivery: Operate with urgency, delivering breakthroughs in code and AI services on cycles measured in weeks, not quarters.

Qualifications And Experience

• Education: Bachelor’s or Master’s in Computer Science, Machine Learning, or related field.
• Experience: 5+ years of applied ML/AI engineering experience, ideally with exposure to enterprise/mission-critical systems. Track record of deploying AI services in production.
• Technical Skills: Proficiency in Python, and Java or Golang; Expertise with ML/LLM frameworks such as PyTorch, TensorFlow, LangChain, or equivalent; Experience with vector databases, orchestration frameworks, and modern MLOps practices; Strong grounding in cloud-native architectures (AWS, GCP, Azure).
• Soft Skills: Analytical, collaborative, and comfortable with ambiguity; Ability to thrive in small, high-velocity teams, balancing experimentation with production rigor.

Pay and Benefits

The pay range that the employer in good faith reasonably expects to pay for this position is $37.37/hour - $58.39/hour. Our offered benefits include medical, dental, vision and retirement benefits.