Principal AI - Software Engineering

Design, develop, and maintain scalable, secure, and high-performance full-stack AI driven applications using modern

technologies.

• Collaborate with cross-functional teams and stakeholders to gather requirements, create technical specifications, and deliver

high-quality AI agent focused software solutions on time.

• Engage in hands-on development of critical software architecture components using various programming languages and

methodologies.

• Lead architecture and design discussions to align solutions with the company’s technology roadmap and strategic goals.
• Troubleshoot, debug, and resolve complex technical issues to ensure optimal system performance and stability.
• Continuously evaluate and adopt new technologies and tools to enhance software quality, development processes, and team

productivity.

• Participate in code reviews, offering constructive feedback and promoting a culture of continuous learning.
• Mentor and guide junior and mid-level engineers, sharing knowledge and best practices
• Contribute to defining and evolving software development standards, processes, and best practices.
• Collaborate on software requirements/user stories, provide estimates, and create design specifications.
• Work with engineers and architects to assess and test hardware/software interactions.
• Create and execute automated test plans and strategies based on business requirements.
• Drive and execute on various testing types: unit, integration, interface, end-to-end, dynamic application security, and user

acceptance testing. Automate testing of AI based conversations and LLM Evals.

• Support applications by resolving configuration and environmental issues.
• Assist in the software deployment process.
• Provide senior-level technical expertise and act as a subject matter expert on ATT technologies.

What You’ll Need

Required Qualifications:

• 7+ years of experience in full stack software development, including front-end, back-end, and database technologies
• Bachelor’s degree in computer science, software engineering, or a related field preferred
• Proficiency in modern programming languages and frameworks such as Python, JavaScript, Java, Next JS, Node.js, React js
• Strong working experience with GenAI, LLM Models, MCP, Vector DB, RAG, Vertex AI, Agentic AI frameworks like NGA, ADK

or LangChain/LangGraph, creating AI agents.

• Strong experience with Cloud platforms like Google Cloud Platform, Azure or AWS and cloud technologies like OpenStack, Terraform, Ansible or

Chef

• Experience working with LLM observability, analytics, evaluations, testing and annotation using tools like LangSmith,

LangFuse, Streamlit, Arize or similar tools.

• Strong experience working with AI/ML development
• Strong experience working with Databases like Cassandra, MongoDB or similar.
• Strong understanding and working experience of microservices architecture, RESTful APIs, Caching and related technologies
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes
• Proficiency in version control systems like Git, and experience with CI/CD tools such as Jenkins, GitHub, Maven, Nexus, JFrog

or Sonar

• Strong experience in Unit and Function testing using Junit, Mockito/JMock, Selenium, Robot, Cucumber, SoapUI or Postman
• Strong problem-solving, analytical, and debugging skills.
• Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to

both technical and non-technical audiences.

• Demonstrated experience in mentoring and providing technical leadership to other engineers.

Nice To Have Skills

• Google CCAI platform (DialogFlow), Vertex AI, Graph QL, BigQuery, Conversation Graph, LLM as Judge.

Must Have

• We need a solid line of JavaScript based full stack candidates. Not Java based full stack.
• 5 to 10 years of experience, ideally 7 to 10 years.
• Who has a detailed understanding of software development, design, and architecture.
• Have expertise in JavaScript, Node JS, React JS and React Native. Experience with Python is added value.
• Experience working with cloud technologies, Google Cloud Platform, and Azure.
• AI skills.

We will have hands-on coding interviews on our side based on client requirements.