AI Technical Lead – .NET

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

📋 Description

• Spearhead the creation of architectural solutions that encompass AI-driven features, agentic workflows, RAG-based solutions, and LLM integrations.

• Enhance development processes by integrating modern tools, AI-assisted development methodologies, engineering standards, and quality enhancements.

• Oversee backlog refinements, sprint planning, and conduct sprint reviews/demos.

• Engage in backlog execution through pair programming, tackling complex development tasks, conducting code reviews, and providing mentorship.

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

• Direct the design and execution of AI agent architectures, addressing tool calling, orchestration, context and memory management, permissions, and guardrails.

• Maintain quality through automated testing, AI evaluations, observability, and ongoing monitoring of production AI solutions.

• Supervise and guide 4th-line incident responses, ensuring adherence to SLA and effective issue resolution.

• Contribute to knowledge sharing, team development, and a culture of continuous improvement.

⛳️ Requirements

• A minimum of 6 years of professional experience in software engineering.

• Strong command of C# and .NET technologies.

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

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

• Hands-on experience in building and delivering LLM-powered applications into production environments.

• Comprehensive understanding of AI agent architectures, including tool calling, orchestration, context management, and agent frameworks.

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

• Proficiency in using AI coding agents like Claude Code, Cursor, Codex, or similar tools.

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

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

• Proficiency in English at an Upper-Intermediate level or higher.

• Experience with MCP, multi-agent systems, and advanced agent orchestration techniques.

• Practical experience with RAG, embeddings, vector/hybrid search, and LLM integrations.

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

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

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

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

🏝️ Benefits

• Defined career progression paths.

• Opportunities for mentorship.

• Access to ongoing learning and development.

• Flexible working arrangements.

• Programs that promote schedule management, productivity, and well-being.

• Acknowledgment of achievements and contributions.

• An innovative culture that welcomes new ideas and embraces modern technologies.

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

• Rewards program recognizing contributions and commitment.