Ładowanie...
Senior Staff AI Engineer
Caspian One
🛠 Wymagane technologieDane źródłowe
AI Insights
Czym naprawdę jest ta rola?AI Infrastructure Engineer
This is a senior individual contributor role building a new internal AI organization for a major global financial data provider. You will architect foundational AI infrastructure from scratch—vector databases, RAG pipelines, knowledge graphs, and LLM orchestration layers—to replace legacy keyword search with semantic intelligence across billions of data relationships. The mission is to tackle complex challenges in financial information, working with massive time series, proprietary documents, and macroeconomic datasets. It's a greenfield, high-autonomy role in a small elite R&D team, with direct influence on product strategy and a first production launch planned for early 2026. Despite the 'Data Analytics' label, this is a pure AI engineering role, not an analytics or BI position.
Plusy
- ✓Fully remote work
- ✓Competitive B2B salary (25,200–33,600 PLN/month)
- ✓Greenfield project - build AI infrastructure from scratch
- ✓Direct influence on product strategy and technical direction
- ✓Small elite R&D team with high autonomy
- ✓Work with massive, high-quality financial datasets
- ✓First production launch scheduled for early 2026 – tangible impact
Na co uważać
- −Client name is undisclosed (only 'leading global financial data provider'), which reduces transparency
- −Role is advertised by recruitment agency (Caspian One), adding a layer of indirection
- −B2B contract may imply less stability compared to permanent employment
- !No details about team size or composition
- !No mention of on-call duties or support expectations
- !Startup-like environment within a large enterprise may cause cultural friction
- !Technologies listed are limited (Langchain, Python, Critical thinking) - actual stack may be broader
Codzienna praca
- •Designing and building vector databases and embedding pipelines for 300M+ time series and millions of documents
- •Developing and optimizing RAG (Retrieval-Augmented Generation) frameworks for financial search
- •Implementing LLM orchestration layers and AI agents for financial analysts
- •Working with knowledge graphs and entity linking to interlink macroeconomic datasets
- •Prototyping new AI features and validating them with real-world financial data
- •Collaborating with the team on ML architecture decisions and roadmap planning
- •Integrating Langchain and Python based services into the broader AI infrastructure
Więcej o ofercie↓
Dla kogo jest ta oferta
Profil idealny
Oferta dla doświadczonych specjalistów (Senior).
Minimum sensowne
A senior engineer with at least 5 years of experience in ML/AI, proficient in Python and Langchain, who has built and deployed a RAG system or knowledge graph in production. Familiarity with large-scale data infrastructure and a desire to build from the ground up.
Raczej nie dla
Junior or mid-level engineers without deep experience in building AI infrastructure from scratch. Also not for candidates who prefer maintenance roles or working on well-established systems, or those who dislike high ambiguity and early-stage product development.
Ocena dopasowania
Junior1/5
Mid2/5
Senior5/5
Hands-on5/5
Architekt5/5
Remote5/5
Enterprise3/5
Pytania do rekrutera
- ?What is the full name of the financial data provider client?
- ?How many engineers are currently in the R&D team, and what are their profiles?
- ?Is this role fully remote permanently, or are there any expectations for occasional travel or on-site meetings?
- ?What specific vector database and knowledge graph technologies are you planning to use (e.g., Pinecone, Weaviate, Neo4j)?
- ?What is the expected on-call rotation (if any) for production systems?
- ?How does the team handle data privacy and security given the financial nature of the data?
- ?What is the estimated timeline for the first production release, and what milestones are expected?
- ?Will there be opportunities to publish research or contribute to open-source projects?
Brakujące informacje
- −Client company name
- −Exact team size and composition
- −Specific technologies beyond Python and Langchain (e.g., vector DB, cloud provider, MLOps tools)
- −On-call or out-of-hours work expectations
- −Recruitment process stages and timeline
- −Any budget for conferences, training, or compute resources
Zespół
Small, elite R&D group with high autonomy and direct influence on product strategy. The culture emphasizes building from scratch, tackling complex problems, and making technical decisions collaboratively.
🔗Podobne oferty
Oferta w skrócie
25 200 – 33 600PLN / mies.
🏠ZdalnieTryb pracy
📄B2BKontrakt
⏱️Senior · 5+ latDoświadczenie
LokalizacjaZdalnie
Źródło
justjoinitAktywna
Opublikowano7 maja 2026
Ostatnio sprawdzono7 maja 2026
Wygasa za91 dni
📊Jakość danych
Kompletność72%
Dane częściowe
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