Pacifico Energy Group
AI Solutions Engineer
Pacifico Energy Group, San Juan Capistrano, California, United States, 92675
Overview
Join to apply for the
AI Solutions Engineer
role at
Pacifico Energy Group .
Pacifico Group is a global investment manager focused on essential infrastructure and real assets, with flagship platforms in energy, aerospace, and real estate. Born out of utility-scale power development across Asia, we now apply private-equity discipline to originate, finance, and operate high-value projects worldwide. Our philanthropic arm, the 661 Foundation, reinvests a portion of profits into community facilities and youth programs in every region where we operate. (https://www.pacificoenergy.com/)
Entrepreneurship sits at the center of everything we do. When we spot a market gap, we spin up a new venture—whether that is fast, behind-the-meter power for AI data centers or upgraded fast-jet fleets for defense customers. If you see opportunity and can build the tech to capture it, you will have the capital, autonomy, and executive access to move fast.
Responsibilities
Operational Efficiency Copilots — Build RAG-based copilots that surface financial, legal, engineering, and ops insights from our document stack in seconds.
Deal Origination & Diligence AI — Fine-tune LLMs to screen thousands of energy/infra/aviation assets, flagging those that hit IRR, ESG, and risk thresholds.
Community Impact Automation — Automate grant-application workflows for the 661 Foundation so funds reach local projects faster.
Predictive Maintenance Intelligence — AI maintenance database learning from fix logs, upgrades, inspections, and telemetry; recommend proactive interventions, reduce AOG, extend airframe/engine life. Package as SaaS for Global Hawk and fast-jet operators; establish the data backbone for life-extension programs (downtime, MTBF, and overhaul costs).
Autonomous BESS Optimizer — RL controller co-optimizing charge/discharge for price signals, PUE targets, and SLA risk; integrates with CAISO/ERCOT/PJM/KPX where applicable.
Grid-Aware Dispatch Copilot — Forecast load, renewable output, and prices; recommend dispatch for gensets and batteries to cut curtailment and demand charges.
Interconnection Fast-Track Assistant — LLM agent ingesting utility handbooks, queue data, and site constraints to output siting options, lead times, and risk flags.
SCADA to Anomaly Radar — Real-time ingestion from PV, storage, and thermal assets; detect inverter faults, soiling, DC/AC clipping, state-of-charge drift, and heat-rate issues.
BESS Health & Degradation Tracker — Cell/string-level degradation modeling; dispatch recommendations to extend life and reduce warranty events.
Hybrid Plant Forecaster — Probabilistic generation and storage forecasts; bidding strategies and curtailment minimization.
PPA & Permit Copilot — Draft/mark-up PPAs, interconnection apps, and EPC addenda; clause-level risk scoring and fallback language aligned to US regs and ISO tariffs.
Wind SCADA Anomaly Radar — Detect yaw misalignment, pitch system faults, blade soiling/icing, gearbox/bearing early-warning; push work orders with predicted availability impact.
Offshore O&M and Weather-Window Planner — Combine metocean forecasts, crew/asset schedules, and access limits to optimize turbine service windows and vessel dispatch.
Wake & Layout Optimizer — Integrate LiDAR/SODAR and CFD/wake models to recommend curtailment schemes and dynamic yaw for array-level yield uplift.
PPA & Permit Copilot (VN/KR) — Draft/redline filings and contracts for EVN/NLDC and KPX/KEPCO; surface risk clauses, timelines, and compliance gaps; suggest fallback language.
Infra Deal Screener — Ingest decks/memos; extract IRR, leverage, tenor, covenants, sponsor track record; rank opportunities by risk-adjusted return and mandate fit.
PortCo KPI Generator — Recommend KPIs and reporting cadences by asset type/region; auto-build exec dashboards and data pipelines.
Fund Ops Copilot — Draft LP updates, standardize quarterly letters, and reconcile data across administrators, custodians, and portfolio telemetry.
Map high-value pain points across Pacifico companies and prototype AI solutions in weeks, not months.
Own the full MLOps lifecycle — data ingestion, model selection and fine-tuning, evaluation, deployment, monitoring, and retraining.
Build secure, scalable back-ends (Python, PyTorch, Hugging Face, LangChain/LangGraph) and clean, intuitive UIs (React/Next.js or Streamlit) so non-technical teams adopt your tools.
Maintain rigorous governance — prompt-injection defenses, audit trails, SOC-2–ready controls, and clear ROI metrics.
Present directly to C-suite and investment committees; translate technical wins into P&L impact.
Mentor future GauntletAI hires as we scale the practice.
Qualifications
BS/MS in Computer Science, Machine Learning, Data Engineering, or similar; PhD a plus.
2–5 years of hands-on experience shipping deep-learning or LLM products to production.
Fluency in vector databases, retrieval-augmented generation, embeddings, and prompt engineering.
Solid software-engineering chops — tests, CI/CD, Docker/K8s, GitHub Actions.
Business curiosity: you enjoy decoding commercial models and can frame tech work in EBITDA, IRR, and NPV terms.
Bias toward action in unstructured, high-change environments. You like blank-canvas problems and minimal red tape.
Excellent written and verbal communication; able to brief executives and coach end-users.
Benefits
Equity Upside — Founder-like equity in spin-outs that originate from your work, based on contribution and role, and subject to approvals.
Competitive base salary, annual bonus, and 401(k) with match.
Health, dental, vision, and wellness stipend.
Hybrid schedule with travel to Orange County HQ and project sites as needed.
Annual professional-development budget plus priority access to GauntletAI alumni resources.
The chance to leave a technology fingerprint on multi-billion-dollar energy and aerospace platforms—and on community projects that matter.
Seniority level Mid-Senior level
Employment type Full-time
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AI Solutions Engineer
role at
Pacifico Energy Group .
Pacifico Group is a global investment manager focused on essential infrastructure and real assets, with flagship platforms in energy, aerospace, and real estate. Born out of utility-scale power development across Asia, we now apply private-equity discipline to originate, finance, and operate high-value projects worldwide. Our philanthropic arm, the 661 Foundation, reinvests a portion of profits into community facilities and youth programs in every region where we operate. (https://www.pacificoenergy.com/)
Entrepreneurship sits at the center of everything we do. When we spot a market gap, we spin up a new venture—whether that is fast, behind-the-meter power for AI data centers or upgraded fast-jet fleets for defense customers. If you see opportunity and can build the tech to capture it, you will have the capital, autonomy, and executive access to move fast.
Responsibilities
Operational Efficiency Copilots — Build RAG-based copilots that surface financial, legal, engineering, and ops insights from our document stack in seconds.
Deal Origination & Diligence AI — Fine-tune LLMs to screen thousands of energy/infra/aviation assets, flagging those that hit IRR, ESG, and risk thresholds.
Community Impact Automation — Automate grant-application workflows for the 661 Foundation so funds reach local projects faster.
Predictive Maintenance Intelligence — AI maintenance database learning from fix logs, upgrades, inspections, and telemetry; recommend proactive interventions, reduce AOG, extend airframe/engine life. Package as SaaS for Global Hawk and fast-jet operators; establish the data backbone for life-extension programs (downtime, MTBF, and overhaul costs).
Autonomous BESS Optimizer — RL controller co-optimizing charge/discharge for price signals, PUE targets, and SLA risk; integrates with CAISO/ERCOT/PJM/KPX where applicable.
Grid-Aware Dispatch Copilot — Forecast load, renewable output, and prices; recommend dispatch for gensets and batteries to cut curtailment and demand charges.
Interconnection Fast-Track Assistant — LLM agent ingesting utility handbooks, queue data, and site constraints to output siting options, lead times, and risk flags.
SCADA to Anomaly Radar — Real-time ingestion from PV, storage, and thermal assets; detect inverter faults, soiling, DC/AC clipping, state-of-charge drift, and heat-rate issues.
BESS Health & Degradation Tracker — Cell/string-level degradation modeling; dispatch recommendations to extend life and reduce warranty events.
Hybrid Plant Forecaster — Probabilistic generation and storage forecasts; bidding strategies and curtailment minimization.
PPA & Permit Copilot — Draft/mark-up PPAs, interconnection apps, and EPC addenda; clause-level risk scoring and fallback language aligned to US regs and ISO tariffs.
Wind SCADA Anomaly Radar — Detect yaw misalignment, pitch system faults, blade soiling/icing, gearbox/bearing early-warning; push work orders with predicted availability impact.
Offshore O&M and Weather-Window Planner — Combine metocean forecasts, crew/asset schedules, and access limits to optimize turbine service windows and vessel dispatch.
Wake & Layout Optimizer — Integrate LiDAR/SODAR and CFD/wake models to recommend curtailment schemes and dynamic yaw for array-level yield uplift.
PPA & Permit Copilot (VN/KR) — Draft/redline filings and contracts for EVN/NLDC and KPX/KEPCO; surface risk clauses, timelines, and compliance gaps; suggest fallback language.
Infra Deal Screener — Ingest decks/memos; extract IRR, leverage, tenor, covenants, sponsor track record; rank opportunities by risk-adjusted return and mandate fit.
PortCo KPI Generator — Recommend KPIs and reporting cadences by asset type/region; auto-build exec dashboards and data pipelines.
Fund Ops Copilot — Draft LP updates, standardize quarterly letters, and reconcile data across administrators, custodians, and portfolio telemetry.
Map high-value pain points across Pacifico companies and prototype AI solutions in weeks, not months.
Own the full MLOps lifecycle — data ingestion, model selection and fine-tuning, evaluation, deployment, monitoring, and retraining.
Build secure, scalable back-ends (Python, PyTorch, Hugging Face, LangChain/LangGraph) and clean, intuitive UIs (React/Next.js or Streamlit) so non-technical teams adopt your tools.
Maintain rigorous governance — prompt-injection defenses, audit trails, SOC-2–ready controls, and clear ROI metrics.
Present directly to C-suite and investment committees; translate technical wins into P&L impact.
Mentor future GauntletAI hires as we scale the practice.
Qualifications
BS/MS in Computer Science, Machine Learning, Data Engineering, or similar; PhD a plus.
2–5 years of hands-on experience shipping deep-learning or LLM products to production.
Fluency in vector databases, retrieval-augmented generation, embeddings, and prompt engineering.
Solid software-engineering chops — tests, CI/CD, Docker/K8s, GitHub Actions.
Business curiosity: you enjoy decoding commercial models and can frame tech work in EBITDA, IRR, and NPV terms.
Bias toward action in unstructured, high-change environments. You like blank-canvas problems and minimal red tape.
Excellent written and verbal communication; able to brief executives and coach end-users.
Benefits
Equity Upside — Founder-like equity in spin-outs that originate from your work, based on contribution and role, and subject to approvals.
Competitive base salary, annual bonus, and 401(k) with match.
Health, dental, vision, and wellness stipend.
Hybrid schedule with travel to Orange County HQ and project sites as needed.
Annual professional-development budget plus priority access to GauntletAI alumni resources.
The chance to leave a technology fingerprint on multi-billion-dollar energy and aerospace platforms—and on community projects that matter.
Seniority level Mid-Senior level
Employment type Full-time
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