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Nortal
Nortal
1001 – 5000 Darbinieki
KonsultācijasLoģistikaMārketings
Nortal palīdz valdībām, veselības aprūpes iestādēm un uzņēmumiem pārvaldīt sarežģītas pārmaiņu iniciatīvas, nodrošinot digitālās stratēģijas, konsultāciju un tehnoloģiju pakalpojumus. Tās darbība aptver publisko sektoru, veselības aprūpi, finanšu pakalpojumus un telekomunikācijas, galveno uzmanību pievēršot darbības efektivitātes un digitālo pakalpojumu lietotāju pieredzes uzlabošanai. Nortal komandas atbalsta organizācijas, tām pielāgojoties mainīgajiem ekonomiskajiem un tehnoloģiskajiem apstākļiem, kā arī pārvēršot liela mēroga izaicinājumus praktiskos digitālos risinājumos.
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Vakances uzņēmumā

Senior Python AI Engineer

Build production RAG, retrieval, and evaluation systems as a Senior Python AI Engineer. Develop Python services and knowledge pipelines for Nortal’s global mining client.

UAUkrainaHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
Python

Apraksts

  • Design end-to-end knowledge pipelines, from source discovery and extraction to metadata, chunking, and indexing.
  • Build hybrid retrieval and RAG systems with provenance, citations, access controls, refresh, and lineage.
  • Create reusable evaluation frameworks and test packs for RAG assistants, document processing, and tool-using AI agents.
  • Develop test scenarios, regression cases, golden datasets, deterministic checks, targeted LLM judges, and release thresholds.
  • Improve AI answer quality across the pipeline, including source data, indexing, ranking, grounding, prompts, orchestration, and model behaviour.
  • Design for precision, with appropriate abstention and fallback mechanisms.
  • Build and maintain Python backend services, APIs, and test harnesses for AI components.
  • Use automated testing, version control, CI/CD, observability, telemetry, traceability, resilience, and cost and latency optimisation.
  • Work with subject matter experts to define expected answers, evidence, authoritative sources, ambiguity, exceptions, out-of-scope cases, and safety boundaries.
  • Develop reusable engineering patterns for retrieval, semantic metadata, evaluation, monitoring, and safe production AI operations.

Prasības

  • Strong practical experience developing Python backends with FastAPI or a similar framework.
  • Demonstrated experience designing and building APIs and integrating asynchronous or external services.
  • Practical experience building and improving AI or generative AI solutions, especially retrieval and RAG, document understanding, or knowledge-intensive assistants.
  • Strong grasp of information retrieval, embeddings, vector search, and hybrid search.
  • Experience evaluating AI systems with benchmark or golden datasets, regression tests, error analysis, evaluation metrics or judges, and calibration with human reviewers or subject matter experts.
  • Experience delivering reliable production software with thorough testing, debugging, observability, and CI/CD.
  • Good understanding of data quality, metadata, provenance, and versioning.
  • Ability to identify quality issues across the full AI pipeline.
  • Strong communication skills, including explaining AI quality limits and technical trade-offs to technical and non-technical audiences.
  • Upper-intermediate or higher spoken and written English.
  • Experience with ontologies, taxonomies, or semantic knowledge artefacts is an advantage.
  • Data Science or Machine Learning experience combined with strong software engineering skills is an advantage.
  • Spanish or Portuguese language skills are an advantage.

Priekšrocības

  • 24 working days of paid vacation.
  • 11 paid national holidays.
  • Up to 10 paid sick days.
  • On-demand medical insurance.
  • Vaccinations.
  • Mental health support, including webinars, resources, and therapy session compensation.
  • Access to a corporate learning platform.
  • English classes.
  • Flexible benefits budget for medical insurance, sports, leisure, fuel, and more.
  • Eight-hour workday aligned with the client’s working hours.
  • Hybrid work, with work-from-home options and office access.
  • Team events and thoughtful gifts throughout the year.

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