AI Engineer (GenAI / Full Stack / LLM) Utility Domain

Job Summary

We are seeking a highly skilled AI Engineer II to design, build, and deploy production-grade generative AI applications that solve real-world business problems. This is a hands-on engineering role focused on end-to-end application development, including architecture, implementation, and deployment.

The ideal candidate will have strong experience in full-stack development, cloud platforms, and LLM-based solutions, with the ability to work independently in a fast-paced enterprise environment.

Key Responsibilities

• Design, develop, and deploy Generative AI applications from concept to production
• Translate business requirements into scalable GenAI architectures and solutions
• Build and maintain full-stack applications, APIs, and internal platforms
• Implement LLM-based solutions using:
  • RAG (Retrieval-Augmented Generation)
  • Prompt Engineering
  • Tool Calling & API integrations
• Ensure applications meet enterprise standards for scalability, security, and reliability
• Apply DevOps best practices including CI/CD, containerization, and monitoring
• Collaborate with cross-functional teams while maintaining ownership of deliverables
• Evaluate and prototype new AI/GenAI tools and frameworks
• Communicate technical solutions effectively to stakeholders

Required Qualifications

• Bachelor s degree in Computer Science, Engineering, IT, or related field
• 3 5+ years of experience in Software Engineering / AI Engineering
• Strong programming skills in Python
• Experience building and deploying production-level applications
• Full-stack development experience (frontend + backend)
• Hands-on experience with cloud platforms (AWS / Azure / Google Cloud Platform)
• Experience with DevOps tools (CI/CD, Docker, Kubernetes, etc.)
• Strong experience with API design and integrations
• Proficiency with Git/GitHub
• Excellent problem-solving and communication skills

Preferred Qualifications

• Experience building LLM-powered applications
• Familiarity with frameworks such as:
  • LangChain
  • LangGraph
  • AutoGen
• Exposure to agentic workflows / orchestration frameworks
• Experience in energy, utilities, or industrial domains

Nice to Have

• Experience with solar, wind, or energy storage systems
• Exposure to enterprise AI governance and security practices