AI Software Engineer

Recruitment for

Our client is a global technology company providing software solutions for the fitness industry. Its products help fitness clubs, gyms, and studios manage their operations, memberships, payments, and customer engagement. The company is expanding its AI capabilities to bring intelligent automation and AI-powered experiences into its products and internal workflows. Its engineering teams are building a shared AI platform that enables developers to deliver AI-powered features faster, more securely, and more reliably.

About the project

We are looking for an AI Software Engineer to build and deliver AI-powered product features from initial discovery through production and continuous improvement. You will work closely with Product and Design to identify real customer needs and turn them into useful, measurable product capabilities. Your work will involve LLM applications, retrieval-augmented generation (RAG), tool calling, and agentic workflows, integrated into existing products using the company’s shared AI platform. You will be responsible for evaluating feature quality, handling AI failures, protecting customer data, and measuring the impact of your solutions on user experience and business outcomes. This is a hands-on product engineering role focused on shipping reliable AI features that customers actually use and trust, rather than model training or research.

Your responsibilities

• Own AI-powered product features from problem discovery and design through implementation, launch, adoption, and ongoing improvement.
• Collaborate with Product and Design to identify where AI can deliver meaningful customer value.
• Build and integrate AI features using LLMs, RAG, tool calling, and agentic workflows.
• Define success criteria before development, including user outcomes, task completion, quality, latency, and cost.
• Create evaluation datasets based on real customer scenarios and use them to validate releases.
• Design user experiences that handle uncertainty and incorrect AI outputs through fallbacks, human review, clear explanations, and correction mechanisms.
• Develop and maintain prompts, context strategies, and retrieval pipelines as tested, versioned, and observable components.
• Apply secure AI practices, including tenant data isolation, least-privilege tool access, PII protection, and safeguards against prompt injection.
• Run experiments and A/B tests to measure the impact of AI features on customer and business outcomes.
• Monitor production performance, troubleshoot issues, participate in on-call rotations, and implement improvements following incidents.
• Work closely with the AI Platform team to share feedback, requirements, and reusable patterns.
• Use coding agents and AI development tools effectively while maintaining strong engineering and code quality standards.

Our requirements

• Practical experience shipping AI-powered product features, such as LLM applications, RAG systems, or agent-based solutions, used by real customers.
• Strong software engineering skills and experience developing and maintaining production applications or services.
• Understanding of AI quality evaluation, failure analysis, hallucination mitigation, and the trade-offs between quality, latency, and cost.
• Experience with prompt engineering, context engineering, retrieval design, and tool or function calling in production environments.
• Product-oriented thinking and the ability to turn ambiguous customer problems into well-defined features with measurable outcomes.
• Experience designing fallback mechanisms, guardrails, and user experiences that handle incorrect or low-confidence AI outputs.
• Understanding of data privacy, multi-tenant security, and safe permission management for AI agents.
• Ability to use AI coding tools while independently verifying generated code and recommendations.
• A strong production mindset, including monitoring, debugging, incident response, and continuous improvement.
• Excellent communication and collaboration skills, with the ability to explain AI behavior and limitations to technical and non-technical stakeholders.
• A customer-focused approach, prioritizing real-world adoption and trust over impressive demonstrations.
• Willingness to collaborate with other engineering teams and contribute reusable solutions and best practices.

Optional

• Experience in fitness, wellness, membership-based businesses, or SaaS products.
• Experience building conversational interfaces, AI assistants, or agentic workflows integrated into customer-facing products.
• Familiarity with A/B testing, experimentation platforms, and product analytics.
• Experience with search, recommendations, personalization, or ranking systems.
• Frontend or full-stack engineering experience.
• Familiarity with LLM observability, tracing, and user feedback collection.
• Experience optimizing AI costs through caching, model selection, or prompt efficiency.
• Experience integrating with LLM gateways, evaluation frameworks, or internal AI platforms.

What we offer

• Open PTO policy for eligible employees.
• Quarterly company-wide Days of Disconnect.
• Parental leave and pet-related leave.
• Quarterly fitness reimbursement.
• Medical, dental, and vision coverage.
• Employee Assistance Program (EAP).
• Calm App subscription for the employee and eligible dependents.
• Contract of employment up to 310 000 PLN gross/year

dotLinkers Sp. z o.o.

Jesteśmy dotLinkers, pierwszą agencją rekrutacyjną IT dedykowaną start-upom oraz firmom produktowym. Aby być elastycznym, w naszym portfolio znajdzie się również kilka propozycji do jednych z największych graczy na rynku. À propos graczy, śmiało możemy się takowymi nazywać. Lubimy grać i współzawodniczyć tak na boisku jak i na rynku rekrutacyjnym. Po pracy chillujemy grając w petanque, piłakrzyki, siatkówkę, kosza i bilboquet. Dzięki najlepszemu zespołowi z roku na rok osiągamy niesamowite wyniki, co jest najlepszym wskaźnikiem zadowolenia naszych klientów.

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