AI Engineer / Forward Deployed Engineer (AI Engineering)

• →Design, develop, and deploy AI-powered developer productivity solutions.
• →Build and implement AI agents using modern agentic frameworks.
• →Integrate AI solutions with enterprise platforms and software development tools.
• →Develop scalable APIs and applications that support AI-driven workflows.
• →Partner closely with engineering teams to identify automation opportunities and improve developer efficiency.
• →Leverage GenAI technologies to create innovative solutions for software delivery and operational excellence.
• →Contribute to CI/CD pipelines and DevOps processes to ensure seamless deployment and scalability.

• 7+ years of professional software engineering experience.
• 2+ years of hands-on experience with Generative AI and Large Language Models (LLMs).
• Experience working with one or more of the following AI platforms:
  • GitHub Copilot
  • OpenAI
  • Azure OpenAI
  • Claude
  • Gemini
  • AWS Bedrock
• Hands-on experience building AI agents using frameworks such as:
  • LangChain
  • LangGraph
  • CrewAI
  • AutoGen
• Strong programming skills in one or more of the following:
  • Python
  • Java
  • Go
  • TypeScript
  • C#
• Experience building REST APIs and scalable enterprise applications.
• Strong understanding of software architecture, cloud-native development, and system integration.

• Experience integrating AI solutions with:
  • GitHub
  • Azure DevOps
  • Jira
  • ServiceNow
• Knowledge of CI/CD pipelines and DevOps best practices.
• Experience working directly with engineering and product teams in agile environments.
• Strong communication, collaboration, and stakeholder management skills.

• Passion for AI innovation and developer productivity.
• Ability to rapidly prototype and deploy AI-driven solutions.
• Strong analytical and problem-solving skills.
• A collaborative mindset with the ability to influence technical teams and drive adoption of AI technologies.

Experience Required: 7+ Years Overall | 2+ Years in GenAI/LLM Technologies