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

• 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