GCP - Agentic AI Engineer

KPI Partners; Bengaluru; Sur place; INR 1 500 000 - 2 000 000; Plein temps

Résumé du poste

KPI Partners is seeking a Senior Agentic AI Engineer in Bengaluru, India, with over 6 years of experience to design and deploy autonomous AI systems. The ideal candidate will work extensively with Google Cloud Platform, focusing on integrating LLM reasoning and AI orchestration frameworks to create dynamic, goal-driven applications. Responsibilities include developing multi-agent architectures and ensuring efficient governance and observability of AI workloads.

Qualifications

• Minimum of 6 years in AI engineering with at least 2 years on GCP.
• Strong experience in developing AI orchestration frameworks.
• Deep understanding of LLM concepts.

Responsabilités

• Design and implement agentic workflows combining models with tools and APIs.
• Develop multi-agent architectures using frameworks like LangChain.
• Integrate AI agents into enterprise applications.
• Ensure governance, observability, and cost optimization.

Connaissances

LangChain

Python

SQL

Google Cloud Platform (GCP)

AI orchestration frameworks

Description du poste

Senior Agentic AI Engineer with over 6 years experience to design, build, and deploy autonomous, goal-driven AI systems with at least 2 years experience working on the Google Cloud Platform (GCP). The ideal candidate will integrate LLM reasoning, memory, and tool orchestration to create agentic applications that plan, act, and adapt dynamically.

Responsibilities

• Design and implement agentic workflows that combine models with tools, APIs, and external data sources.
• Develop multi-agent architectures with planning, reflection, and memory layers LangChain, or similar frameworks.
• Integrate AI agents into enterprise applications.
• Ensure governance, observability, and cost optimization within AI workloads.

Required Skills

• LangChain
• Python
• SQL
• GCP
• Strong experience with Python and AI orchestration frameworks (LangChain, AutoGen, or CrewAI).
• Deep understanding of LLM prompt engineering, reasoning chains, and tool calling patterns.

Good To have Skills

• Google ADK
• Familiarity with retrieval-augmented generation (RAG) pipelines and vector databases (e.g., Pinecone, Weaviate, or Vertex Matching Engine).
• Knowledge of MLOps on GCP, including model deployment, monitoring, and CI/CD integration.