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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on memory and retrieval systems for AI using hybrid approaches based on knowledge graphs, vector, lexical methods. Main tasks include building scalable systems, evaluating memory and retrieval strategies, and developing AI memory interfaces with expertise in Python and LLMs. Required skills cover retrieval, embeddings, graph memory (Neo4j) and experience in ML engineering and evaluation pipelines. Benefits include sports cost sharing and life insurance.
Senior ML/AI Engineer
Company: ITEAMLY SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
from: 25 May 2026
to: 24 June 2026
23 000 - 34 000 złnet (+ VAT)/ mth.B2B contract (full-time)
Offer parameters
level:senior
working mode:remote
location:Warszawa, Masovian
Warszawa, Masovian
Requirements
Expected technologies
Python
Our requirements
- 5+ years in ML engineering / applied AI / search & retrieval / backend AI systems
- Strong Python — production services, not just notebooks
- Hands-on with LLMs: retrieval, embeddings, structured outputs, tool/agent orchestration
- Experience building evaluation pipelines (golden cases, automated checks, human review loops)
- Understanding of retrieval failure modes: stale context, hallucination amplification, ranking drift
- Knowledge graphs / graph-based memory (Neo4j or similar)
Optional
- Fine-tuning, distillation, or local model deployment
- Experience with sovereignty-driven model strategy
- Agentic systems or long-term memory for AI products
- Pragmatic reasoning across vector / lexical / graph / hybrid retrieval approaches
Your responsibilities
- Build scalable memory and retrieval systems for high-context AI workflows
- Hybrid retrieval across knowledge graphs, vector, lexical, and structured approaches
- Evaluation workflows comparing retrieval and memory strategies on real corpora
- Agent memory interfaces — enabling AI workflows to query, inspect, and reuse context
- Quality metrics: recall, provenance, latency, cost
- Routing logic — deciding when to use lightweight retrieval, deeper reasoning, or agentic workflows
- Fine-tuning, distillation, and model adaptation pipelines
- Observability for AI workflows: retrieval failures, model regressions, cost budgets
About the project
This is how we organize our work
This is how we work
agile
This is how we work on a project
- documentation
- issue tracking tools
- testing environments
What we offer
- Fully remote work,
- Opportunity to work on exciting AI/ML projects,
- Flexible cooperation model,
- Career growth and exposure to modern technologies,
- Friendly and collaborative work environment.
Benefits
- sharing the costs of sports activities
- life insurance
ITEAMLY SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
As Venture Building, we create profitable technology companies from scratch. We collaborate with partners who share similar aspirations and are open to leveraging the potential of their networks, cultivated over years. We regularly launch new projects founded on long-term, amicable relationships with our associates.
Senior ML/AI Engineer
23k–34k zł / mth. (B2B)
I apply to:
ITEAMLY SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Warszawa, Masovian
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