AI Engineer with Agentic AI Experience

Job Title

Project Duration: 6 months+ Extendable

Detailed JD: Should have total 8+ yrs of IT experience.

Required Skills and 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.

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:

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