Project Duration: 6 months+ Extendable Detailed JD: Should have total 8+ yrs of IT experience.
- 5+ years of exp in ML, Gen AI, Agentic AI, Agent Space
- Strong hands on exp on Python/Java
- Hands on experience working on Google Agentic AI
- Experience in building multiple agents and deploying to Production environment
- Good experience in building RAG pipelines with multiple chunking strategies
- Strong hands-on experience on Vertex ai, ADK, and AI applications (previously known as agent builder), Agent space and experience deploying to production
- Data handling and analysis
- Ability to build applications and handle front end, connect to LLMs through front end
- API knowledge- must know how to build and connect to apis - Key Requirements
- Fast Paced environment, adapt to technologies as quickly as possible.
Required Skills and Experience:
- Strong programming skills:
Proficiency in Python is essential, and experience with Java or other relevant languages is often preferred.
- Experience with LLMs and Agentic AI Frameworks:
Expertise in LLMs, RAG, LangChain, LangGraph, or similar frameworks.
- Knowledge of Vector Databases:
Familiarity with vector databases like Pinecone, FAISS, or Vertex AI Search.
Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Data Handling and Analysis:
Strong skills in data manipulation, preprocessing, and analysis.
- Prompt Engineering and Tool Orchestration:
Expertise in crafting effective prompts, orchestrating tools, and enabling multi-step reasoning.
- Experience with Agentic AI platforms:
Experience with platforms like Google Agent Space, Agent builder, or similar technologies.
- Problem-solving and Strategic Thinking:
Ability to identify and solve complex problems, translate business requirements into AI solutions, and contribute to strategic decision-making.