AI Data Solutions Engineer Job in Remote | Binariks

Binariks is looking for a highly motivated AI Data Solutions Engineer to bridge the gap between complex business challenges and production-ready AI. Working embedded directly within our clients' teams, you will turn ambiguous, messy business domains into clean, well-modeled, and governed data ecosystems — and then build intelligent LLM/RAG solutions directly on top of that foundation.

What We’re Looking For

• 5+ years of hands-on experience in Data Engineering, Analytics Engineering, or Solutions Engineering.
• Practical experience building production-ready LLM applications in Python, including RAG pipelines, AI agents, embeddings, prompt engineering, and model evaluation.
• Strong command of data modeling across conceptual, logical, and physical layers.
• Deep familiarity with entity-relationship, dimensional, and canonical modeling, with the ability to translate complex business concepts into scalable data structures.
• Experience with metadata management and data catalogs (e.g., DataHub, Collibra, Alation, Unity Catalog, Dataplex, or AWS Glue), including building business glossaries and tracking data lineage.
• Hands-on experience with data quality profiling, rule definition, and monitoring using tools like dbt tests, Great Expectations, or Soda, alongside a solid understanding of Master Data Management (MDM) principles.
• Advanced SQL proficiency and practical experience with at least one major cloud platform (AWS, GCP, or Azure), preferably Azure. 
• Strong facilitation skills: ability to run discovery workshops with business stakeholders, map domain language into technical models, and clearly explain architectural trade-offs to non-technical audiences.
• Proven track record in client-facing roles, working embedded within customer teams and navigating ambiguous environments.
• Upper-Intermediate / Advanced English (B2+ / C1).

Will be a plus

• Ontology work: OWL, RDF, SKOS, SHACL, Protégé
• Knowledge graphs such as Neo4j, Neptune, Stardog or GraphDB, using SPARQL or Cypher
• GraphRAG or other ways of feeding semantic context to LLMs
• Semantic layer tools such as dbt Semantic Layer, Cube or AtScale
• Domain standards such as FHIR (healthcare) or ACORD (insurance)

Your responsibilities

• Design, build, and deploy production-grade LLM solutions in Python, including RAG pipelines, intelligent agents, and embedding workflows.
• Establish prompt engineering best practices and robust evaluation frameworks to ensure accuracy, reliability, and relevance of AI outputs.
• Architect conceptual, logical, and physical data models (ER, dimensional, and canonical) that serve as a clean, scalable foundation for both analytics and AI applications.
• Implement and maintain data catalogs, business glossaries, and end-to-end data lineage using modern metadata management platforms (such as DataHub, Unity Catalog, Collibra, or AWS Glue).
• Define data profiling standards, automated quality checks, and monitoring pipelines (using dbt tests, Great Expectations, or Soda) while supporting Master Data Management (MDM) initiatives.
• Write performant SQL and build scalable data workflows within cloud ecosystems (AWS or Azure) to seamlessly connect enterprise data sources with downstream AI/analytics consumers.
• Work embedded within client teams to lead technical discovery workshops, uncover business needs, and translate complex domain concepts into structured data models and AI architectures.
• Navigate ambiguous environments, advising stakeholders on architectural trade-offs and technical feasibility in clear, business-friendly terms.

Benefits of Working With Us

Vacation

18 working days of paid vacation

National Holidays

Day-offs on all public holidays

Sick-leave

10 working days

Additional days-off

Additional paid day-off in case of marriage, childbirth, blood donation, funeral

Medical Care

Medical support and insurance package with health check-up

Sport

Compensation for sports activities

Play Room

Tennis court and wall bar

Internal Activities & Events

Explore our hobby clubs and exciting events

Training & Conferences

Up to 50% coverage

Company-focused certifications

Cover 100% of successfully passing the exam

Tech Talks

Possibility to share and gain knowledge on regular tech talks

IT Cluster membership

Program which provides discounts from more than 1,000 partners

Maternity Leave Bonus

Financial bonus for childcare

Work From Anywhere

Option to combine WFH and office

Business Trip

Trips to the customer