1. Hands on experience deploying Agentic ai systems on python and lanchain in production. Has to prove their work by showing live examples of implementation like apps, websites etc
2. Python coding mastery and python framework proficiency mandatory
3. Should be a prompt engineering expert with deep understanding how to deal with Gemini suites it LLMs
Education & Experience
Bachelor's or Master's degree in Computer Science, AI / ML, or related field
10+ years of software engineering experience with proven track record of delivering production-grade systems
- Minimum 2 years of hands-on experience building and deploying agentic AI systems in production environments
- Demonstrated success in shipping autonomous AI agents or AGI-like systems that handle real-world tasks
- Experience leading technical projects and mentoring junior engineers
- Portfolio of production AI applications with measurable business impact
Core AI / ML Frameworks
Expert-level proficiency with LangGraph for agent workflow orchestrationDeep experience with LangChain for LLM application developmentHands-on experience with Google Cloud AI services (Vertex AI, Gemini, PaLM)Strong understanding of prompt engineering and LLM optimization techniquesPython Development
Advanced Python programming skills with 10+ years of experienceExpert-level FastAPI development for building scalable APIsProficiency with async / await patterns and concurrent programmingExperience with Python ML libraries (NumPy, Pandas, scikit-learn)Knowledge of testing frameworks (pytest, unittest) and CI / CD practicesCloud & Infrastructure
Hands-on experience with Google Cloud Platform (GCP)Proficiency with containerization (Docker) and orchestration (Kubernetes)Experience with cloud storage solutions and data pipelinesUnderstanding of microservices architecture and distributed systems#agenticAI #vertexAI #LLM #python #langgraph