Sigma Software
Technology
AI-augmentedSoftwareDeveloper
Neural analysis suggests this role is
optimal for mid candidates.
“AI-augmented Software Developer at Sigma Software. Skills: AI SDLC, Autonomous agents, AI orchestration. Design MCP integrations. Implement MCP integrations”
Industry & Context.
Evaluate approaches; Analyze trade-offs
What They're Looking For.
Must Have
3-5 years Software Engineer, 1 year AI SDLC experience, Practical development experience, AI orchestration frameworks, Autonomous agents & multi-agent systems, MCP integrations, AI model lifecycle, Prompting, evaluation loops, Continuous improvement, Work independently, Own end-to-end technical delivery, Client-facing communication skills, Curiosity, experimentation mindset, Build greenfield AI solutions, Run POCs, Technical evaluations, Benchmarking approaches
Nice to Have
Vector databases, RAG, Embeddings, Backend engineering, MLOps, System design, LLM fine-tuning, Model customization, Integrate AI into production-grade applications
What You'll Do.
Design MCP integrations
Implement MCP integrations
Design agent orchestration layers
Implement agent orchestration layers
Build AI SDLC pipelines
Maintain AI SDLC pipelines
Build automation logic
Maintain automation logic
Implement agentic AI patterns
Implement multi-agent workflows
Implement intelligent task automation
Evaluate agentic AI models
Evaluate AI frameworks
Benchmark scalability
Benchmark reliability
Benchmark architecture fit
Propose optimal designs
Shape AI SDLC solutions
Communicate technical concepts
Guide clients on AI tool adoption
How You'll Work.
Team & Collaboration
Product teams; Architects; Clients; Cross-functional collaboration
Communication Scope
Communicate complex concepts; Client-facing communication
Full Job Description
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. 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) ## Qualifications * 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 * H
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