Back
Tier-1 brand, metro location, and mid-level experience increase applicant competition.
Role requires deep agentic AI and LLM specialization, limiting transferability across non-ML domains.
Many mandatory senior AI/ML skills, frameworks, and years make filters highly selective.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, development, and deployment of large-scale agentic AI solutions using Google ADK, LangChain, LangGraph, and integrate multiple LLMs like OpenAI, Anthropic, and Google Gemini.
Architect and implement advanced multi-agent systems featuring autonomous agents with planning, tool usage, memory management, and multi-step reasoning capabilities.
Develop scalable Python backend services, robust data pipelines, secure REST APIs, and drive CI/CD, automated testing, MLOps, and containerization on cloud platforms (AWS, Azure, GCP).
5+ years experience in AI/ML development, applications development, or systems analysis with significant expertise in Python.
Minimum 2+ years specifically in AI, prompt engineering, ML, or agentic AI systems.
Proven lead developer experience with agentic flow design using Google ADK.
Bachelor’s degree in computer science, engineering, or equivalent experience.
Deep technical expertise in Python backend engineering and AI/ML frameworks including TensorFlow, PyTorch, and LLM-based technologies (OpenAI GPT, Gemini, Claude, Llama).
Hands-on experience architecting and scaling multi-agent AI systems with knowledge of RAG systems and vector databases (Pinecone, Weaviate).
Strong cloud and DevOps skills including Docker, Kubernetes, CI/CD pipelines, and MLOps across AWS, Azure, or GCP environments.