Engineer in Energy Technology managing projects related to energy supply and decarbonization. Collaborating with trading and controlling teams in a hybrid work environment.
About the role
- Lead enterprise customizations for Valence's AI coach, Nadia, in complex customer environments. Collaborate across teams to ensure advanced enterprise AI systems are effective and safe.
Responsibilities
- Own end-to-end customizations: Lead discovery → design → implementation → evaluation → iteration cycles for enterprise-grade workflows.
- Architect for reuse: Identify repeatable patterns, modularize components, and define when to productize; communicate tradeoffs across speed, quality, and maintainability.
- Drive quality and evaluation: Define prompting standards, guardrails, and success metrics (accuracy, tone, safety, outcome quality). Build lightweight evaluation frameworks that scale across clients.
- Make hard tradeoffs: Balance speed vs. scalability; protect the platform from over-engineering while ensuring customers see real value quickly.
- Collaborate deeply: Partner with Product, AI Engineering, and Coaching SMEs to deliver solutions with measurable impact.
- Mentor and level up others: Guide associates or EMs learning prompting and integration skills; contribute to playbooks, templates, and internal training.
- Measure outcomes: Track deployment speed, adoption, satisfaction, and quality; identify opportunities for reusability and efficiency gains.
Requirements
- 5+ years in solutions engineering, forward-deployed engineering, or consulting engineering, ideally with enterprise-facing experience. Open to less years for exceptional builders who ship and learn fast.
- LLM/AI experience: prompt design, evaluation, and deployment of LLM-powered systems. Understanding of memory/knowledge retrieval and safety/guardrails.
- Systems & judgment: track record of deciding what should be bespoke vs. reusable, designing for modularity without over-engineering.
- Enterprise craft: stakeholder management, discovery, and communication. You know when to push back and when to ship.
- Collaborate deeply: Partner with Product, AI Engineering, and Coaching SMEs to deliver solutions with measurable impact.
- Quality mindset: you hold the line on accuracy, safety, and performance while maintaining pragmatism.
- Growth mindset: Growth mindset focused on continuous skill development in rapidly evolving AI landscape
- Startup DNA: Startup experience preferred with proven comfort navigating ambiguity and high-velocity execution.
Benefits
- Competitive salary including base + bonuses
- Comprehensive health coverage (medical, dental, vision) from day one
- Generous PTO, company-wide R&R shutdowns, and paid parental leave
- Retirement plan support for US and global employees
- Meaningful ownership in a venture-backed company at a growth inflection point
- Financial upside that comes from scaling fast
- Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact
- A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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