AI-augmented Software Developer

Вимоги

• 3–5+ years as a Software Engineer, including 1 year of extensive AI Agentic Systems experience
• Strong practical development experience — JavaScript/TypeScript preferred; Python, Java, Go also acceptable
• Hands-on experience implementing agentic AI architectures, AI orchestration frameworks, autonomous agents & multi-agent systems, MCP integrations
• Solid understanding of AI model lifecycle, prompting, evaluation loops, and continuous improvement
• Ability to work independently and own end-to-end technical delivery
• Consulting experience or strong client-facing communication skills
• Curiosity and experimentation mindset
• Experience running POCs, technical evaluations, or benchmarking approaches

WILL BE A PLUS

• Experience with vector databases, RAG, and embeddings
• Background in backend engineering, MLOps, or system design
• Understanding of LLM fine-tuning or model customization
• Experience integrating AI into production-grade applications

Професійний профайл

• Self-driven engineer with strong programming skills
• Consulting mindset with ability to advise clients
• Passion for experimenting with cutting-edge AI frameworks
• Strong communication skills for cross-functional collaboration
• Ability to deliver robust, scalable AI solutions

Обов'язки

• DESIGN & DEVELOPMENT
  • Build and maintain AI SDLC pipelines, tooling, and automation logic across the development lifecycle
  • Implement agentic AI patterns, multi-agent workflows, and intelligent task automation
  • Work with tools such as Claude Code, Cursor, Microsoft Copilot, and other AI engineering environments
• RESEARCH & EXPERIMENTATION
  • Evaluate emerging agentic AI models, frameworks, and toolkits
  • Build POCs and prototypes to benchmark scalability, reliability, and architecture fit
  • Propose optimal designs based on hands-on research and clear analysis of trade-offs
• CONSULTING & COLLABORATION
  • Work with product teams, architects, and clients to define requirements and shape agentic AI solutions
  • Communicate complex technical concepts clearly to non-technical stakeholders
  • Guide clients on AI tool adoption (both greenfield and brownfield)