Lead AI Software Engineer
4 semanas atrás
We are seeking a highly skilled and experienced AI Engineer to join our team.
The successful candidate will have a strong background in software engineering and AI/ML, with expertise in Python and either Golang, Node.js, or Java.
This is a remote, full-time position that combines applied AI/ML expertise with strong back-end engineering skills, ensuring scalable, secure, and production-ready systems that transform the utility sector.
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.
Key Responsibilities- Design, develop, and deploy AI systems purpose-built for utility use cases, including predictive operations, customer engagement, and energy optimization
- Build APIs, microservices, and orchestration frameworks that seamlessly connect AI models with enterprise systems and grid-level data flows
- Manage the complete AI pipeline ingestion, embeddings, retrieval, evaluation, and continuous deployment, ensuring reliability and scalability
- Address vulnerabilities unique to AI, such as model drift, bias exploitation, adversarial robustness, and hallucination control with sensitivity to regulated environments
- Partner with software engineers, data specialists, and security teams to integrate AI capabilities into the broader system, embedding AI by design into every product release
Deliverables:
- Breakthroughs in code and AI services on cycles measured in weeks, not quarters
5+ years of software and AI/ML engineering experience
Strong background in Python and either Golang, Node.js, or Java expertise
Strong desire to adopt Golang as the primary back-end technology
Experience working in small, agile teams
Ability to continuously adapt to evolving requirements in a fast-moving, high-stakes industry
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