AI-augmented Software Developer

Sigmasoftware2; Town of Poland (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Sigmasoftware2 is seeking a skilled engineer to design and implement MCP integrations and agent orchestration layers in a cutting-edge AI SDLC environment. You will build, maintain, and automate AI pipelines across the full development lifecycle, enabling multi-agent workflows and scalable automation.

With 3-5+ years as a Software Engineer and hands-on experience in AI orchestration frameworks, you will collaborate with product teams, architects, and clients to define requirements and deliver

Qualifications

• 3-5+ years as a Software Engineer, including 1 year of AI SDLC experience.
• Strong practical development experience in JavaScript/TypeScript; other languages accepted (Python/Java/Go).
• Hands-on experience implementing AI orchestration frameworks and autonomous agents.
• Experience MCP integrations and understanding of the AI model lifecycle, prompting, evaluation loops.

Responsibilities

• Design and implement 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 product teams, architects, and clients to define requirements and shape AI SDLC solutions.
• Communicate complex technical concepts clearly to non-technical stakeholders.

Skills

JavaScript/TypeScript

Python/Java/Go

AI orchestration frameworks

Autonomous agents

MCP integrations

Education

Software Engineer experience 3-5+ years

Tools

Vector databases

RAG

LLM tooling

Job description

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)

REQUIREMENTS

• 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