About Sutherland: 

Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.

We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.

Sutherland

Unlocking digital performance. Delivering measurable results

AI Software Engineer (Agentic AI & MCP Systems)

Key Responsibilities

• Design, develop, and maintain MCP servers using Python and/or TypeScript to support scalable and standardized LLM interactions.
• Build and deploy agentic AI systems capable of planning, reasoning, and executing multi-step workflows.
• Implement agent workflows using:
  • Tool / function calling
  • Short-term and long-term memory
  • Context management
  • Guardrails and controlled execution
• Develop system with agents orchestrates workflows with LLMs acting as the reasoning and decision-making layer.
• Build Retrieval-Augmented Generation (RAG) pipelines, including:
  • Document ingestion and chunking strategies
  • Embedding generation and vector storage
  • Vector search and hybrid retrieval

Implement Knowledge Graph–based solutions, including Graph RAG, to enable reasoning over structured and unstructured enterprise data.

• Design and deploy AI systems on cloud infrastructure, with strong experience in AWS Bedrock and related AWS services.
• Ensure adherence to SDLC best practices, including design, implementation, testing, deployment, monitoring, and maintenance.
• Write clean, modular, well-documented code and participate in code reviews and architectural discussions.

Required Skills & Qualifications

• Strong development experience in Python and/or TypeScript.
• Hands-on experience building MCP servers or equivalent LLM integration layers.
• Experience with AI agent frameworks (e.g., LangGraph/LangChain, CrewAI etc.).
• Prior working experience with AI-powered IDE platforms, such as:
  • GitHub Copilot
  • Cursor
  • Windsurf
  • Claude Code
  • Kiro
  • or similar tools available in the market
• Experience designing and deploying AI/LLM systems on AWS cloud platform, especially AWS Bedrock.
• Strong understanding of LLM architectures, prompt design, tool usage, memory, and orchestration.
• Hands-on experience with vector databases, embeddings, and RAG optimization techniques.
• Solid foundation in software engineering principles and the software development life cycle (SDLC).
• Experience with REST APIs, microservices, and system integration patterns.
• Proficiency with Git-based workflows and CI/CD pipelines.

Good-to-Have Skills

• Experience with spec-driven development or requirements-driven engineering.
• Familiarity with observability, evaluation, and monitoring of LLM and agent behavior.
• Exposure to AI security, governance, and responsible AI practices.

Additional requirement for AI SDLC Developer for GE digital area.