Note: The job is a remote job and is open to candidates in USA. DXC Luxoft is seeking an Applied AI Engineer for a client that provides energy solutions. The role focuses on building, shipping, evaluating, and monitoring LLM-powered features and agents, including retrieval and RAG, to deliver measurable benefits across the client’s operations and products.
Responsibilities
- Work closely with product teams to help define and execute technical criteria
- Find high-value uses for AI and define how success is measured
- Design, build and ship LLM-powered features and agents from prototype to production, such as automating client data onboarding
- Own retrieval and RAG over our data, building on the foundation our data engineers prepare
- Build evals and monitoring that track quality, cost and latency, and improve systems based on the results
- Help refine our customer-facing AI features
Skills
- Mid-to-senior software engineer who has shipped LLM-based features or agents to production, not only prototypes
- Production experience in Python (preferred) or Node.js/TypeScript
- Building with LLMs: prompt and tool design, structured outputs, retrieval/RAG and agent orchestration
- Evaluating AI systems: eval sets built from representative data, automated graders, human review and production monitoring
- AWS or another enterprise cloud platform, including its AI services (AWS Bedrock preferred)
- AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD
- Strong English and communication skills
- Agent tool protocols such as MCP
- SQL and cloud warehouse data (Snowflake preferred)
- Infrastructure as code (e.g. Terraform)
- Exposure to energy, utilities or sustainability data
Benefits
- Remote work in the United States
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