AI Software Engineer

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.

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.

About the project

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

Recruitment for

dotLinkers Sp. z o.o.