Software Engineer, Senior

Key Responsibilities

• Design, develop, and maintain production-grade services using Python, C#, and related technologies.
• Build and enhance front-end applications using Angular.
• Develop and integrate cloud-native solutions leveraging AWS services such as Bedrock, SageMaker, Lambda, and EKS.
• Implement AI and LLM-powered capabilities using Anthropic Claude API, Model Context Protocol (MCP), and related platforms.
• Contribute to AI Governance initiatives, including explainability, observability, and guardrail capabilities.
• Lead feature and component design, recommending implementation approaches and evaluating technical trade-offs.
• Collaborate with cross-functional teams to deliver scalable and reliable software solutions.
• Mentor engineers, conduct code reviews, and promote engineering best practices.
• Participate in technical planning, estimation, and architectural discussions.

Skills, Knowledge & Expertise

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong experience developing and delivering production software applications.
• Proficiency in Python and working knowledge of C#.
• Experience with PostgreSQL or other relational databases.
• Strong full-stack development experience, including Angular.
• Experience working with AWS services such as Bedrock, SageMaker, Lambda, and EKS.
• Hands-on experience using AI-assisted development tools such as Claude Code, AWS Kiro, OpenAI Codex, or similar technologies.
• Experience building solutions using LangChain, LangGraph, or comparable agentic AI frameworks.
• Ability to design technical solutions from problem statements and drive implementation independently.
• Strong understanding of AI fundamentals, responsible AI usage, and evaluation of AI-generated outputs.

Benefits

• Experience working with Anthropic Claude API and Model Context Protocol (MCP).
• Experience developing AI-powered products, services, or APIs.
• Knowledge of AI governance, explainability, observability, and safety/guardrail frameworks.
• Experience designing and delivering LLM-enabled applications in production environments.
• Proven ability to lead technical discussions, evaluate architectural trade-offs, and influence engineering decisions.
• Experience mentoring software engineers and reviewing technical designs.
• Strong communication and stakeholder collaboration skills.