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About the role
AI Engineer Role Summary: Implement and operationalize AI/ML and GenAI solutions to drive SDLC automation and efficiency. Key Responsibilities: Develop and deploy AI/ML and GenAI solutions (LLMs, copilots, agents) Build automation use cases across coding, testing, documentation, and support Implement RAG pipelines, prompt engineering, and model orchestration Integrate AI solutions into SDLC tools and enterprise platforms Monitor model performance, accuracy, and adoption metrics Collaborate with architects and product teams to scale AI solutions Skills & Experience: 4–8 years in AI/ML or software engineering with AI exposure Hands-on experience with LLMs, prompt engineering, and RAG pipelines Proficiency in Python and AI frameworks (TensorFlow, PyTorch, LangChain, etc.) Experience building AI-powered applications, copilots, or automation tools Familiarity with API integration and microservices-based architectures Experience deploying models using MLOps tools and cloud platforms Understanding of model evaluation, monitoring, and performance tuning Strong problem-solving skills and ability to work in experimental environments
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