Description

Responsibilities

Design, develop, and test autonomous AI agents and multi-agent systems to

solve complex business problems.

Write clean, scalable, and maintainable production-grade code using Python.

Deploy, manage, and scale AI architectures and agentic workflows securely on

Google Cloud Platform (GCP).

Integrate Large Language Models (LLMs) with external APIs, internal

databases, and enterprise software toolchains.

Build and optimize advanced Retrieval-Augmented Generation (RAG) pipelines

and manage vector databases.

Implement robust evaluation frameworks, strict grounding techniques, and

anti-hallucination guardrails to ensure enterprise-grade reliability.

Monitor agent performance, debug complex AI reasoning loops, and optimize

systems for latency and cost.

Collaborate closely with product managers, data engineers, and stakeholders

to translate business requirements into technical AI solutions.

Required

Skills

Bachelor's or Master's degree in Computer Science, Artificial Intelligence,

Software Engineering, or a related technical field.

Proven hands-on experience building and deploying generative AI applications

in a production environment ( 6 to 12 months)

Advanced proficiency in Python programming with 7 – 9 years of experience,

including asynchronous programming and API development.

Experience with GCP services, specifically Vertex AI, Cloud Run, Cloud

Functions, and BigQuery (or) similar cloud experience in AWS or Azure

Deep understanding of LLM capabilities, advanced prompt engineering, and

context window management.

Strong foundational knowledge of vector search technologies, embeddings, and

semantic search methodologies.

Good

to have Skills

Experience designing complex multi-agent architectures where AI models

collaborate to solve tasks.

Practical experience with Gen AI orchestration and agentic frameworks such as

LangChain, LlamaIndex, AutoGen, or CrewAI.

Background in implementing MLOps pipelines, CI/CD for machine learning, and

automated model evaluation.

Solid understanding of data security, privacy compliance, and AI governance

best practices.

Experience

with containerization technologies like Docker and Kubernetes

Key Skills

Education

Bachelor's or Master's degrees