Sr Software Engineer

Sr Software Engineer, AI & Architecture

We are seeking a talented Senior Software Engineer to join our team. This role involves designing, developing, testing, and deploying software applications. You will collaborate with cross‑functional teams to understand business requirements and translate them into technical solutions.

• Design, develop, and maintain full‑stack applications, ensuring scalability, performance, and security.
• Write clean, maintainable, and efficient code following best practices and coding standards.
• Work on both the front‑end (React, Angular, or Vue.js) and back‑end (Node.js, Python, or .NET).
• Contribute to the architecture and design of software systems, ensuring alignment with business goals and technical strategy.
• Participate in technical design reviews, providing feedback and recommendations to improve system design and code quality.
• Collaborate with Dev Ops and platform teams to integrate applications into CI/CD pipelines and automate deployment processes.
• Develop and execute unit, integration, and automated tests to ensure software quality.
• Identify and resolve defects and performance issues, conducting thorough code reviews to maintain high standards of code quality.
• Work closely with QA teams to implement and improve testing strategies and processes.
• Collaborate with product managers, designers, and other engineers to deliver high‑quality features and enhancements.
• Participate in agile ceremonies such as sprint planning, stand‑ups, and retrospectives, contributing to continuous improvement of team processes.
• Communicate effectively with both technical and non‑technical stakeholders, providing updates on progress and potential challenges.
• Mentor and guide junior engineers, sharing knowledge and best practices to help them grow in their roles.
• Lead by example, demonstrating a strong work ethic, commitment to quality, and proactive problem‑solving.
• Take ownership of features or projects, driving them from concept to completion with minimal supervision.
• Stay up‑to‑date with industry trends, emerging technologies, and best practices, and bring new ideas to the team.
• Identify opportunities for process improvements, refactoring, or technical enhancements to optimize the software development lifecycle.
• Participate in technical discussions and contribute to the evolution of the team’s technical direction.

Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

• Minimum of 5-7 years of experience in software development, with a strong focus on full‑stack development.
• Proven experience working in agile environments, adaptable to changing requirements and priorities.
• Ideally experience in IT Governance & Trust/Compliance domain.
• Ideally familiarity with NIST AI RMF, OWASP, ISO/IEC, SOX, AIBOM.

• Web development experience, including Headless CMS, Digital Asset Management, and front‑end development.
• Proficiency in modern front‑end frameworks (React, Angular, Vue.js) and back‑end technologies (Node.js, Python, .NET).
• Strong understanding of RESTful APIs, microservices architecture, and database design (SQL and No
  
  SQL).
• Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes).
• Familiarity with CI/CD pipelines, version control (Git), and Dev Ops practices.

• Expert‑level experience designing and implementing multi‑agent systems with complex A2A communication patterns and orchestration.
• Deep expertise in agentic AI architecture, autonomous decision‑making, goal‑oriented behavior, and agent reasoning frameworks.
• Hands‑on experience with enterprise AI platforms such as AWS Bedrock‑Agentcore, Azure OpenAI Service, Anthropic, etc.
• Proficiency with AI orchestration frameworks and tools (Lang Chain, Llama Index, Auto Gen, CrewAI).
• Strong experience implementing tool/function calling, external system integrations, and protocol‑based agent communication.
• Proven ability to integrate AI agents with enterprise systems, APIs, and data sources to enable autonomous workflows.
• Hands‑on experience with LLM integration, prompt engineering, and…