GenAI Developer

Responsibilities

Certification in AI or a related field, including options such as Certified Data Scientist or Certified AI Engineer

* Experience working with additional AI frameworks and technologies, including TensorFlow, PyTorch, or Keras

* Knowledge of containerization technologies such as Docker and Kubernetes

* Experience delivering software using agile development methodologies and version control systems such as Git

* Strong command of software design patterns, principles, and industry best practices

* Hands-on exposure to DevOps practices, including continuous integration and continuous deployment

* Familiarity with cloud platforms such as Azure / GCP / AWS

Technical and Professional Requirements:

* Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline (B.E/B.Tech/M.E/M.Tech/MCA)

* Minimum 3–5 years of experience in software development, including at least 2 years of hands-on experience in Gen AI development

* Strong proficiency in Python programming

* Hands-on experience with LangChain, Gen AI, Agentic AI, and Prompt Engineering

* Excellent problem-solving ability, including analyzing complex issues and designing creative solutions

* Strong communication and collaboration skills, including working effectively with cross-functional teams

Keywords: LangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Prompt Engineering, Machine Learning, SQL, Kafka

Preferred Skills:

Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)

Technology->AI-Generative AI->Generative AI for Data Analytics

Technology->AI-Generative AI->Prompt Engineering

Technology->AI-Machine Learning->Databricks Machine Learning

Technology->Experience Engineering->GenerativeUI/DynamicUI

Educational Requirements: Bachelor of Engineering