Agentic AI Developer
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 orchestration
- Deep experience with LangChain for LLM application development
- Hands-on experience with Google Cloud AI services (Vertex AI, Gemini, PaLM)
- Strong understanding of prompt engineering and LLM optimization techniques
Python Development**
- Advanced Python programming skills with 10+ years of experience
- Expert-level FastAPI development for building scalable APIs
- Proficiency with async/await patterns and concurrent programming
- Experience with Python ML libraries (NumPy, Pandas, scikit-learn)
- Knowledge of testing frameworks (pytest, unittest) and CI/CD practices
Cloud & Infrastructure**
- Hands-on experience with Google Cloud Platform (GCP)
- Proficiency with containerization (Docker) and orchestration (Kubernetes)
- Experience with cloud storage solutions and data pipelines
- Understanding of microservices architecture and distributed systems
#agenticAI #vertexAI #LLM #python #langgraph
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