Job Description We are seeking an AI Engineer with a strong software engineering background to support the development, integration, deployment, and governance of enterprise AI products across the Anthropic and OpenAI product suites. This role requires a hands-on engineer with strong Python and TypeScript development skills, 1-2 years of AI engineering experience, and experience building production integrations using AI/model APIs. The engineer will also work across DevOps, security, developer tooling, and endpoint teams to enable AI capabilities across the enterprise. Key Responsibilities
Develop and enable recent capabilities across Anthropic and OpenAI products.
Design and build integrations between AI products and enterprise applications.
Build production integrations that consume AI/model APIs.
Develop solutions using Python and TypeScript.
Build data pipeline integrations to collect data used for reporting.
Support Claude Code and Codex desktop deployments in partnership with endpoint/desktop teams.
Develop and support IDE extensions for AI coding agents.
Support AI agent and model API integrations.
Implement integrations involving security controls such as encryption, logging, and network controls.
Support MCP and MCP Tunnel enablement and integrations.
Work across CI/CD, containers, infrastructure as code, deployment automation, cloud environments, monitoring, and environment management.
Evaluate emerging AI products and provide technical recommendations.
Collaborate with software engineering, DevOps, security, infrastructure, and desktop teams. Skills and Requirements Strong hands-on software engineering and application development experience.
Development experience with Python and TypeScript.
1-2 years of AI engineering experience, including working with AI/model APIs.
Experience building production AI integrations, including calling model APIs within applications.
Development experience designing and building software and application integrations.
Strong DevOps experience encompassing:
CI/CD
Containers
Infrastructure as Code
Deployment automation
Cloud environments
Monitoring
Environment management
Experience integrating SaaS products, APIs, and enterprise applications.
Experience working with Windows and macOS environments, particularly when coordinating enterprise endpoint solution rollouts.
Understanding of application and integration security concepts, including encryption, logging, and network controls.
Ability to work effectively across development, DevOps, security, infrastructure, and endpoint teams.
Experience with Anthropic/Claude and/or OpenAI products.
Experience developing or integrating AI agents.
Experience with vector databases.
Familiarity with Model Context Protocol (MCP) and MCP-based integrations.
Experience with AI coding tools or coding agents.
Experience developing IDE extensions or developer tooling.
Experience with Microsoft Intune or similar enterprise endpoint management platforms.
Experience supporting enterprise AI product governance and security. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to
[email protected].
📌 INTL - India - AI Engineer (Hyderabad)
🏢 Insight Global
📍 Hyderabad