AI Developer / Framework Specialist

We are seeking an AI Developer / Framework Specialist to design and implement AI-driven development frameworks that improve software delivery, automation, and developer productivity. In this role, you will leverage AI-powered coding tools, modern development frameworks, and cloud technologies to build intelligent applications, automate SDLC processes, and integrate AI capabilities into development, testing, and DevOps workflows.Roles and ResponsibilitiesBuild AI-augmented development workflows using GitHub Copilot, GenAI APIs, and automation tools.Develop AI-enabled application features such as chatbots, recommendation engines, NLP solutions, and predictive models.Automate SDLC activities including code generation, refactoring, test case generation, bug detection, and CI/CD processes.Implement AI-powered testing solutions, including self-healing test automation, intelligent test coverage, and defect prediction.Prepare and process datasets, integrate AI APIs, and deploy AI/ML models for inference.Integrate AI capabilities into DevOps pipelines to enable AIOps, monitoring, anomaly detection, and intelligent alerting.Validate AI-generated code, enforce secure coding practices, and ensure compliance with development standards.Collaborate with architects, developers, QA, and data teams to implement scalable AI solutions and continuously improve development frameworks.Required QualificationsBachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.3+ years of software development experience with exposure to AI-assisted development.Hands-on experience with GitHub Copilot or similar AI coding assistants.Proficiency in Python, Java, or JavaScript.Experience integrating AI/ML capabilities using APIs such as OpenAI, Azure AI, or Hugging Face.Knowledge of AI/ML fundamentals, including NLP, model inference, and prompt engineering.Experience with REST APIs, microservices, and cloud platforms (Azure, AWS, or GCP).Familiarity with Git, CI/CD pipelines, and DevOps practices.Understanding of secure coding standards and software quality best practices.Preferred SkillsExperience with LangChain, vector databases, or Retrieval-Augmented Generation (RAG) solutions.Basic knowledge of TensorFlow, PyTorch, or similar ML frameworks.Experience with AI-enabled testing frameworks and test automation.Exposure to AIOps, monitoring, and intelligent observability solutions.Strong analytical, problem-solving, and collaboration skills.