Applied AI Engineer: LLMs for Energy Operations

Luxoft; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Luxoft is seeking an applied AI engineer for an energy solutions platform. You will build AI features across data onboarding, retrieval and agent orchestration, partnering with product teams to define success metrics and scale AI capabilities.

The role emphasizes production-grade LLMs, evaluation, monitoring, and collaboration with data engineers and software teams to deploy reliable AI-driven solutions for energy portfolios.

Qualifications

• Shipped LLM-based features or agents to production.
• Experience with Python or Node.js/TypeScript in production.
• Proficient in prompt design, tool integration and structured outputs.
• Experience with retrieval/RAG tooling and agent orchestration.
• Familiar with evaluation frameworks, monitoring, and production quality metrics.
• Cloud experience (AWS preferred) and cloud AI services.

Responsibilities

• Define high-value AI use cases with product teams and measure success.
• Design, build and ship LLM-powered features and agents from prototype to production.
• Own retrieval and RAG over data, collaborating with data engineers.
• Build evals and monitoring for quality, cost, and latency; iterate improvements.
• Help refine customer-facing AI features.

Skills

LLM prod experience

Python

Node.js/TS

Prompt design

RAG retrieval

Agent orchestration

AI eval/monitoring

AWS Bedrock

CI/CD

English fluency

Tools

Terraform

ML tooling

Job description

Luxoft is seeking an applied AI engineer for an energy solutions platform. You will build AI features across data onboarding, retrieval and agent orchestration, partnering with product teams to define success metrics and scale AI capabilities.

The role emphasizes production-grade LLMs, evaluation, monitoring, and collaboration with data engineers and software teams to deploy reliable AI-driven solutions for energy portfolios.