AI-augmented Software Developer

DESIGN & DEVELOPMENT Design and implement Model Context Protocol (MCP) integrations and agent orchestration layers 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 AI SDLC solutions Communicate complex technical concepts clearly to non-technical stakeholders Guide clients on AI tool adoption (both greenfield and brownfield) 3–5+ years as a Software Engineer, including 1 year of extensive AI SDLC experience Strong practical development experience — JavaScript/TypeScript preferred, but Python, Java, Go, etc. are also acceptable Hands-on experience implementing: AI orchestration frameworks Autonomous agents & multi-agent systems MCP integrations Solid understanding of the 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, experimentation mindset, and willingness to build greenfield AI solutions Experience running POCs, technical evaluations, or benchmarking approaches NICE TO HAVE 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 PERSONAL PROFILE 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 We are looking for a highly skilled AI-augmented Engineer with strong engineering experience and deep hands-on exposure to AI SDLC, autonomous agents, multi‑agent systems, and AI orchestration frameworks. This role focuses on designing, building, and optimizing agentic AI systems — from autonomous agents and MCP integrations to complex orchestration layers for both new products and existing long‑running platforms. The ideal candidate combines strong programming skills (JavaScript/TypeScript preferred, but other languages are welcome) with an ability to work independently, evaluate different approaches, and structure efficient AI development workflows. A consulting mindset is essential — you should be able to advise clients, explain trade-offs, and guide them through adopting modern agentic AI practices. Originally posted on Himalayas