GenAI Developer

Responsibilities :

. Design, develop, and deploy AI models and systems using Python, Gen AI, Agentic AI, and other relevant technologies . Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions . Work with large datasets to train and test AI models, and optimize their performance . Apply Prompt Engineering techniques to improve the overall performance of the AI systems . Troubleshoot and debug AI systems to ensure optimal performance and reliability . Provide technical guidance and expertise to ensure high-quality deliverables . Collaborate with the cross functional teams . Participate in code reviews and contribute to the improvement of the overall code quality.

Additional Responsibilities:

Certification in AI or a related field, such as Certified Data Scientist or Certified AI Engineer . Experience with other AI frameworks and technologies, such as TensorFlow, PyTorch, or Keras . Familiarity with containerization using Docker and Kubernetes . Experience with agile development methodologies and version control systems, such as Git . Strong understanding of software design patterns, principles, and best practices . Experience with DevOps practices, such as continuous integration and continuous deployment . Knowledge of cloud computing platforms, such as Azure / GCP / AWS

Technical and Professional Requirements:

. Bachelor's or Master's degree in Computer Science, Engineering, or a related field (B.E/B.Tech/M.E/M.Tech/MCA) . At least 3-5 years of experience in software development, with at least 2 years of hands on experience in Gen AI development . Strong proficiency in Python programming language . Hands on experience with LangChain, Gen AI, Agentic AI, and Prompt Engineering . Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions . Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams.