Praca w IT, Forward Deployed Engineer

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

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

About the project

Who we are looking for

• Someone with high agency who can take a project from an ambiguous starting point to a working production solution
• A customer- and outcome-oriented engineer who makes decisions based on real needs and measurable business impact
• Someone who combines technical rigor with pragmatism and can make good trade-offs under uncertainty
• A strong communicator who can talk technically with customer engineers and clearly with business stakeholders, in Polish and English
• An AI-native engineer who uses generative AI in everyday work and keeps up with the evolving tool ecosystem
• Someone who follows through on commitments, keeps track of open topics, and communicates early when delivery is at risk

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)

Benefits

• sharing the costs of sports activities
• private medical care

OMNIVISER SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ