Job Description

Responsibilities :Job Responsibilities:

• Lead the development of Gen AI solutions, including design, implementation, and deployment of AI models and systems
• Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions to drive growth and efficiency
• Design and implement scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc.
• Develop and maintain large-scale AI systems, ensuring high performance, reliability, and security
• Lead and mentor a team of AI developers, providing guidance and expertise to ensure high-quality deliverables
• Stay up-to-date with the latest advancements in Gen AI, Prompt Engineering, and related technologies, applying this knowledge to drive innovation and improvement
• Develop and maintain technical documentation, including architecture diagrams, design documents, and technical guides
• Participate in code reviews, ensuring high-quality code and adherence to coding standards and best practices

Additional Responsibilities :Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field (B.E/B.Tech/M.E/M.Tech/MCA)
• At least 5-8 years of experience in software development, with a minimum of 2 years of experience in Gen AI
• Strong proficiency in LangChain, Python, Gen AI, Agentic AI, and Prompt Engineering
• Excellent communication, teamwork, problem-solving, and leadership skills

Tech Skill: LangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Advanced Prompt Engineering, Machine Learning, SQL, Kafka
Soft Skill: Communication, Team Work, Problem SolvingTechnical and Professional Requirements :Preferred Qualifications:

• Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI
• Experience with cloud-based AI platforms, such as AWS or Azure
• Knowledge of containerization technologies, such as Docker
• Familiarity with agile development methodologies, such as Scrum or Kanban
• Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch
• Strong understanding of software design patterns, principles, and best practices
• Experience with DevOps practices, including continuous integration and continuous deployment (CI/CD)
• Certification in AI, machine learning, or related fields, such as Certified Data Scientist or Certified AI Engineer

Preferred Skills :Technology->Artificial Intelligence->Artificial Intelligence - ALL,Technology->Machine Learning->GoLearn,Technology->Machine Learning->Generative AIEducational Requirements :Bachelor of EngineeringService Line :Information Systems

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