Opis oferty
Forward Deployed Engineer w Warszawa, Polska
OMNIVISER SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
- HybrydowoPołączenie biura i pracy zdalnej
- KontraktUmowa czasowa lub freelancing
23 000 – 30 000 zł
Warszawa, Polska
Your responsibilities
- Enter projects early, before the exact solution is known, run technical workshops, talk with management about real problems, validate feasibility, and translate them into architecture
- Define success metrics and the value to be delivered at each stage of an implementation
- Build the solution yourself: agents, RAG systems, orchestration, and production code in Python and SQL, from rapid prototype to production
- Integrate our product with customer APIs, data silos, and legacy systems inside their security constraints
- Work with imperfect environments and organize fragmented data when there is no dedicated data team on the customer side
- Build evals, baselines, quality gates, and monitoring that remain operational after the implementation is handed over
- Design systems customers can rely on, including retries and model fallbacks, cost limits, human-in-the-loop for irreversible actions, prompt-injection resistance, and strict data boundaries
- Drive adoption and measure it, making sure people actually use the solution and that the implementation produces visible results
- Turn recurring implementation patterns into reusable modules, accelerators, and ready-made solutions that shorten future deployments
- Bring product gaps and customer needs back to Product and Ops so implementation insights directly influence the roadmap
- Support sales in meetings with new customers by demonstrating the product, designing the first use case, and defining how success will be measured
- Work with tools such as Claude Code or Cursor while remaining accountable for the quality of the code that reaches the customer
Our requirements
- 4–6 years of experience in software engineering, including LLM-based solutions shipped to production rather than left at prototype stage
- Very strong Python and SQL skills, production APIs, and integrations with systems customers already use
- Strong knowledge of agent architectures: tool calling, context engineering, sub-agents, state management, and orchestration, including MCP servers or custom tool-calling interfaces
- Ability to choose an agent architecture based on the task and its expected failure modes
- Production experience with retrieval: vector databases, embeddings, hybrid search, re-ranking, chunking, and context management
- Experience with data modeling, ETL/ELT pipelines, performance tuning, and unstructured data
- Experience with evaluation systems for generative solutions, from baselines and regression tests to LLM-as-a-judge, plus tracing and observability in Langfuse or LangSmith
- Experience deploying and maintaining cloud systems, especially Azure, with containerization and CI/CD
- Understanding of application security: OWASP, secrets management, input validation, permissions, personal data, and attacks specific to LLM applications
- Experience leading customer implementations from discovery to production and communicating technical trade-offs to non-technical decision-makers
- Comfort working in immature environments with spreadsheet-based data, limited documentation, and no dedicated data team
- Strong judgement when narrowing scope, setting priorities, and balancing speed, quality, and scope
- Ability to define implementation success metrics and demonstrate business value in the customer’s own numbers
- Daily use of agentic engineering tools and the ability to review and productionize model-generated code
- Very good communication skills in Polish and English
Optional
- Experience building this type of function in a company from scratch
- Experience in a similar role in a product company
- Knowledge of the systems mid-sized companies actually run on, including ERP, CRM, accounting systems, and spreadsheet-heavy workflows
- Ability to quickly build a simple interface to demonstrate an idea instead of only describing it
- Experience handing a solution over to a customer team so they can continue developing it independently
- Experience in presales, technical demos, and proof-of-value design
- Experience expanding a customer relationship from the first implementation into additional areas
What we offer
- End-to-end ownership of customer implementations, from discovery and architecture to production and adoption
- Direct work with customers, including management, technical teams, and real production environments
- A hands-on role combining engineering, product discovery, and business problem solving
- Real influence on the product roadmap through insights gathered during implementations
- The opportunity to turn customer-specific solutions into reusable modules and accelerators
- An AI-native, fast-moving environment with a strong focus on ownership, measurable outcomes, and continuous exploration
- Compensation: 23 000 – 30 000 PLN net/month + VAT (B2B)
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