AI Engineer

November 8

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

💵 $115k - $130k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

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E Source

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Energy • B2B • Artificial Intelligence

E Source is a solutions-based research, consulting, and data science firm that helps electric, gas, and water utilities across the US and Canada with decarbonization, electrification, customer experience, program innovation, and grid/asset optimization. For more than 30 years they have delivered advisory services, data-driven AI solutions, and implementation support to design cost-effective efficiency programs, modernize utility operations, and reduce operational costs while improving customer satisfaction and resilience.

201 - 500 employees

Founded 1986

⚡ Energy

🤝 B2B

🤖 Artificial Intelligence

📋 Description

• Collaborate with cross-functional teams to design, develop, and deploy scalable software products that incorporate machine learning and AI models. • Build reusable Python packages to support the implementation of ML/AI algorithms and data-processing pipelines. • Contribute to the design of AI systems, including components for retrieval-augmented generation (RAG), LLM integration, and agent-based workflows. • Develop agentic evaluation and monitoring frameworks to assess model reasoning, consistency, and fairness. • Evaluate database design and create optimized performance queries for efficient data processing and retrieval. • Break down complex MLE and AI tasks into manageable user and technical stories, ensuring efficient and effective implementation. • Ensure high-quality test coverage of ML code and participate in peer reviews to provide valuable recommendations. • Stay updated on the latest advances in machine learning engineering, generative AI, and AI system orchestration, and incorporate relevant practices into our workflows. • Contribute to continuous delivery and Agile development processes, adhering to best practices in ML and AI engineering.

🎯 Requirements

• Master’s degree in computer science, software engineering, data science, or a related field (PhD preferred). • Minimum of 7 years of professional experience designing, developing, and deploying machine learning software products independently and collaboratively. • Strong programming skills in Python, with experience developing reusable packages and automation tools. • Familiarity with Databricks for scalable data processing and collaborative analytics. • Solid understanding of machine learning systems design concepts, including model lifecycle management, MLOps, and scalable inference. • Hands-on experience with cloud infrastructure (Azure, AWS, or GCP), containerization, and CI/CD pipelines. • Proficiency with distributed computing frameworks, machine learning packages, and both relational and nonrelational databases. • Familiarity with generative AI tools and frameworks (e.g., AutoGen, Hugging Face, LangChain, LangGraph, LlamaIndex) and their integration into enterprise pipelines. • Experience developing or evaluating agentic AI systems, AI orchestration, or AI-assisted decision-making workflows is an asset. • Excellent problem-solving and analytical skills, with the ability to break down complex tasks into actionable steps. • Strong communication and collaboration skills, with a track record of working effectively in cross-functional teams. • Knowledge or experience in the utility, power, or energy sectors is a plus. • Deep knowledge in Databricks tech stack for AI and data engineering is a plus.

🏖️ Benefits

• Excellent insurance options, including medical, dental, and vision plans; • company-paid life insurance; • company-paid long- and short-term disability insurance; • medical and dependent-care flexible spending plans. • A flexible time off (FTO) program where you can take as many paid days off per year as you need, with manager approval, while fulfilling your work obligations and ensuring proper coverage of your responsibilities. • Flexible schedules, flexible work locations, and a paid parental leave benefit. • A 401(k)/RRSP plan with a 3% employer match.