Publié il y a 13 jours
Applied AI Engineer
@ Luxoft
Canada
En bref
Luxoft is hiring an Applied AI Engineer for an energy solutions client building an AI-enabled platform for operations and decision-making across renewable and traditional energy portfolios. The role builds LLM-powered features and agents from prototype to production, with an MVP due February 2027 and the project running into 2028. The posting requires mid-to-senior engineering experience shipping LLM systems to production and full-time work.
Responsabilités :
- Define technical criteria with product teams
- Design, build and ship LLM features and agents
- Own retrieval and RAG over client data
- Build evals and monitoring for quality, cost and latency
- Refine customer-facing AI features
Résumé des exigences :
- Mid-to-senior engineer who has shipped LLM features to production
- Production Python or Node.js/TypeScript experience
- AWS and AI services experience, AWS Bedrock preferred
- Daily use of agentic AI coding tools and CI/CD experience
- Strong English and communication skills
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-10-28
- Première détection par notre source
- 2026-11-11
- Mise à jour du dossier source
- 2026-11-11
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Luxoft
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 12 |
Project description
Our client is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-making to optimize large-scale renewable and traditional energy portfolios. We're delivering a key client MVP in February 2027, and the project continues into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an applied AI engineer to build AI with real, measurable benefit across our 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
Must have
- 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
Nice to have
- 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
Journal
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