Senior AI Engineer

What you’ll be doing:

• Design, build, and productionize AI agents/workflows (e.g., support automation, voice, and onboarding agents) using agentic frameworks such as LangGraph
• Develop, test, and maintain backend applications in Python and Java or GoLang
• Write clean, efficient, and well-documented code across the full SDLC — development, QA, and release
• Design and implement data models and database schemas
• Collaborate with the frontend team to integrate the backend with the user interface
• Perform code reviews and ensure code quality standards are met
• Troubleshoot and debug applications, including AI agent workflows in production
• Work with the DevOps team to deploy and manage applications in production (Kubernetes)
• Continuously learn and stay up to date with new technologies and industry trends, particularly in the AI/agentic space

Who you are:

• 5+ years of experience as a Backend/Software Developer, with hands-on exposure to AI/agentic systems (deep AI expertise not required, but you should be comfortable in the ecosystem)
• Python — mandatory
• Java or GoLang — proficiency in at least one
• Hands-on experience (2+ years) with LangGraph or similar agentic frameworks
• Strong understanding of object-oriented programming principles
• Experience with databases such as MySQL, PostgreSQL, or MongoDB
• Familiarity with front-end technologies such as HTML, CSS, JavaScript, and React
• Good knowledge of RESTful APIs and microservices architecture
• Working knowledge of Kubernetes
• Full Agile SDLC experience — development, QA, and release
• Excellent problem-solving and analytical skills
• Ability to work independently and in a team environment
• Strong knowledge of Git (branches, submodules, rebasing) and Agile tools such as JIRA and Confluence
• Experience with Amazon Web Services or other cloud services is a plus
• Excellent oral and written communication skills