AI Engineer with Agentic AI Experience

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
• bility to build applications and handle front end, connect to LLMs through front end
• PI 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.

• Cloud Computing:

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:

bility to identify and solve complex problems, translate business requirements into AI solutions, and contribute to strategic decision-making.