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:
1. We need a solid line of JavaScript based full stack candidates. Not Java based full stack.
2. 5 to 10 years of experience, ideally 7 to 10 years.
3. Who has a detailed understanding of software development, design, and architecture.
4. Have expertise in JavaScript, Node JS, React JS and React Native. Experience with Python is added value.
5. Experience working with cloud technologies, Google Cloud Platform, and Azure.
6. AI skills.
We will have hands-on coding interviews on our side based on client requirements.