AI-augmented Software Developer
Core
Design, build, and optimize agentic AI systems including autonomous agents, multi-agent workflows, and Model Context Protocol (MCP) integrations to enhance software development lifecycles.
Role type
Senior AI-augmented Software Engineer (Agentic AI Systems)
Builds
AI orchestration layers, agent workflows, and automated tooling for product teams and clients
Domain
Artificial Intelligence / Software Engineering
Deliverable
production ML models | product features
Required skills
AI orchestration frameworks, autonomous agents, multi-agent systems, MCP integrations, AI SDLC pipelines, JavaScript/TypeScript, Python, Java, Go, AI model lifecycle management, prompting, evaluation loops
Preferred skills
Vector databases, RAG, embeddings, backend engineering, MLOps, system design, LLM fine-tuning, greenfield AI solution architecture
Technologies
Claude Code, Cursor, Microsoft Copilot, MCP, JavaScript, TypeScript, Python, Java, Go
Responsibilities
Design and implement MCP integrations and agent orchestration layers; Build and maintain AI SDLC pipelines and automation logic; Evaluate emerging agentic AI models and build POCs to benchmark scalability; Collaborate with product teams and clients to define requirements and guide AI tool adoption
Seniority
Senior, hands-on IC with consulting capabilities