Project description

Join the Data Engineering team to contribute to the ongoing maintenance and improvement of an internal LLM-powered assistant that uses hosted LLM APIs and internal knowledge sources, with a focus on reliability, retrieval quality, and operational excellence.

Responsibilities

Maintain and enhance ingestion/enrichment pipelines for internal content (parsing/extraction, normalization, metadata enrichment, deduplication, and quality monitoring)

Improve indexing and retrieval performance and quality (chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching) and support hybrid retrieval capabilities (vector + keyword/BM25 + metadata)

Implement and maintain access-aware retrieval by propagating/enforcing document permissions through indexing and query-time filters, including audit logs and validation tests

Improve source attribution so responses reliably point to the correct documents and sections in a consistent format.

Extend and harden tool/workflow execution and automations (scheduled/trigger-based), including retries, timeouts, idempotency, concurrency controls, and run history

Develop and maintain evaluation and regression testing (golden sets, automated scoring) and support structured comparisons across LLM providers/models as required

Operate the platform in production: observability (logs/metrics/tracing), alerting, incident support, performance tuning, and cost controls, plus runbooks and handover documentation

Skills

Must have

8+ years of hands-on experience in Data Science and 5+ years in Machine Learning, with a proven track record, demonstrated through a robust portfolio of projects.

Strong programming skills in languages such as Python and familiarity building ETL pipelines.

Expertise in SQL and experience with both relational (preferably Postgres) and NoSQL databases (Open Search or Elastic Search)

Familiarity with cloud platforms (e.g., AWS) and their services.

Experience with version control systems (e.g., Git) and CI/CD pipelines.

Ability to build scalable infrastructure to embed and search very large number of documents.

Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.

Expertise in ML inference optimizations

Solid experience with Hybrid RAG, chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching, etc.

Knowledge of network optimization for distributed ML training and inference.

Understanding of distributed training patterns and checkpointing strategies.

Strong English skills (B2 and higher)

Strong verbal and written communication skills.

Ability to work independently and collaborate in a group.

Nice to have

Agile certification

AWS/Oracle/Microsoft attestations and certifications

Domain knowledge

Trading and Capital Markets

Other

Languages

English: C1 Advanced

Seniority

Senior

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Luxoft Benefits*

Global Relocation

●Relocation options **
●Experience in an international environment
●Cross-cultural experience

Recognition and Evaluation

●Feedback culture
●Regular appraisals

Time Off***

●Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority
●Occasional leave - 1 or 2 days/ depending on the circumstances
●Child care leave - 2 days or 16 hours per year
●Absence due to force majeure - 2 days or 16 hours per year
●Maternity Leave - 20 weeks
●Parental Leave - 41 weeks
●Paternity Leave - 14 days

Luxoft Training Center

●Expert-led tech courses covering basic to advanced topics
●Internal instructor-led soft skills courses
●Comprehensive in-house self-learning resources for both soft and hard skills
●Access to external self-learning libraries like ProQuest eBook and Udemy for Business
●Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy
●Custom Learning Programs: upskilling, reskilling, technical mentorship
●Leadership Programs for Managers

Well-being and Work-life Balance

●Multisport card
●Possibility to order Multisport card at the corporate rate for family members
●LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.
●One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners
●Preferential banking offer
●Preferential car leasing offer
●Cafeteria program discounts for shops, cinema tickets, holiday offers
●Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support

Health Care

●Private Healthcare Insurance with unlimited access to specialists
●Full dental support
●Travel Insurance
●Possibility to add private healthcare coverage for family members at the corporate rate
●Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer
●Reimbursement for corrective glasses

Company Events and Friendly Environment

●Many fun social activities organized by the Luxoft team offline in your city
●Online entertainment events for whole company and local team events
●A workplace where you’re treated with respect within a multicultural team

Internal Mobility

●Rotation between projects and accounts
●New career opportunities

Self-Learning Library

CSR Projects

*The acquisition of rights to the above benefits depends on the form of cooperation. Benefits apply to those employed under a contract of employment.

**Please note that relocation is not available for all open positions. At Luxoft Poland it is possible to work remotely only from the territory of Poland.

***Options offered by the Polish government.

Remote Poland, Poland

Req. VR-122155

AI/ML

BCM Industry

08/04/2026

Req. VR-122155

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Senior AI Data Engineer

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