AI Technical Lead, .NET

This is a fully remote position, open to applicants in Poland.

📋 Description

• Spearhead the creation of architectural solutions, encompassing AI-driven features, agent workflows, RAG-based solutions, and LLM integrations.

• Enhance development workflows and introduce contemporary tools, AI-assisted development methodologies, engineering standards, and quality enhancements.

• Oversee backlog refinements, sprint planning, and sprint review/demonstrations.

• Engage in pair programming, complex development tasks, code reviews, and provide mentorship.

• Collaborate with stakeholders and product managers to establish technical direction and convert business requirements into technical solutions.

• Direct the design and execution of AI agent architectures, including tool invocation, orchestration, context and memory management, permissions, and safety measures.

• Ensure quality through automated testing, AI assessments, observability, and ongoing monitoring of production AI solutions.

• Supervise and guide 4th-line incident responses, ensuring compliance with SLAs and resolving issues.

• Contribute to knowledge sharing, team growth, and ongoing improvement initiatives.

⛳️ Requirements

• Over 6 years of professional software engineering experience.

• Strong proficiency in C# and .NET.

• At least 3 years of experience in a Tech Lead or Team Lead position.

• Proven experience in architectural decision-making, technical ownership, and mentoring.

• Practical experience in building and delivering LLM-powered applications to production.

• Robust understanding of AI agent architectures, tool invocation, orchestration, context management, and agent frameworks.

• Familiarity with prompt engineering, AI assessments, observability, and best practices in AI security.

• Proficient with AI coding agents like Claude Code, Cursor, Codex, or equivalent tools.

• Solid knowledge of software architecture, distributed systems, REST APIs, and backend engineering principles.

• Experience with relational databases, automated testing, CI/CD, and cloud-native development.

• English proficiency: Upper-Intermediate or above.

• Background in MCP, multi-agent systems, and advanced agent orchestration.

• Hands-on experience with RAG, embeddings, vector/hybrid search, and LLM integrations.

• Understanding of LLMOps practices, including evaluation pipelines, monitoring, and cost optimization.

• Experience with AI platforms such as Anthropic API, Azure OpenAI, AWS Bedrock, or Google Vertex AI.

• Python experience for AI development, prototyping, or automation tasks.

• Familiarity with Kubernetes, enterprise SaaS products, or low-code/no-code platforms.

🏝️ Benefits

• Clearly defined career paths.

• Opportunities for mentorship.

• Access to ongoing learning resources.

• Flexible working arrangements.

• Initiatives that promote schedule management, productivity, and both personal and professional wellbeing.

• Recognition of achievements and contributions.

• Competitive compensation and benefits that support employees and their families.

• A rewards approach that acknowledges contributions and commitment.