AI-augmented Software Developer
Core
Design, implement, and optimize agentic AI systems including Model Context Protocol (MCP) integrations, autonomous agents, and multi-agent orchestration layers.
Role type
Senior AI-augmented Software Engineer (Agentic AI Systems)
Builds
AI SDLC pipelines, tooling, automation logic, and agentic AI workflows for new products and existing platforms.
Domain
Artificial Intelligence / Software Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
AI orchestration frameworks, autonomous agents, multi-agent systems, MCP integrations, AI model lifecycle management, prompting, evaluation loops, continuous improvement, POCs, technical evaluations, benchmarking, client-facing communication, independent delivery, greenfield solution design.
Preferred skills
vector databases, RAG, embeddings, backend engineering, MLOps, system design, LLM fine-tuning, model customization, production-grade AI integration.
Technologies
JavaScript, TypeScript, Python, Java, Go, Claude Code, Cursor, Microsoft Copilot.
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 frameworks; Build POCs and prototypes to benchmark scalability; Work with product teams and clients to define requirements and shape AI solutions; Guide clients on AI tool adoption.
Seniority
Mid-Senior, hands-on IC with consulting mindset
