Back
Tier-1 brand, mid-level GenAI role, metro focus and broad technical requirements increase candidate competition.
Role requires specialized GenAI and agentic AI expertise, moderately transferable across tech sectors.
Specific GenAI, LLM, Langchain/Langraph/Langsmith and Google ADK requirements make shortlisting highly selective.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy advanced generative AI models and autonomous agentic AI systems leveraging frameworks like Langchain, Langraph, Langsmith, and Google ADK.
Lead integration and fine-tuning of large language models (LLMs) for optimal performance, scalability, and ethical compliance in production environments.
Collaborate cross-functionally and mentor junior developers while establishing best practices for GenAI development, testing, and deployment.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or related quantitative field.
Minimum 4 years of hands-on experience in Generative AI development with significant focus on Agentic AI systems.
Advanced proficiency in Python and experience with GenAI frameworks (Langchain, Langraph, Langsmith) and Google Agent Development Kit (ADK).
Experience with deep learning frameworks (TensorFlow or PyTorch) and cloud platforms, preferably Google Cloud Platform (GCP).
Demonstrated leadership in managing complex GenAI projects or mentoring teams within AI application development.
Strong expertise in agentic AI systems and large language model customization in production-grade environments.
Familiarity with scalable system design, MLOps practices, and applying advanced GenAI frameworks and cloud-based AI agent development.