AI Developer – Agentic AI Rivvun AI

Rivvun AI Inc.; Pune District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Rivvun AI Inc. is seeking a hands-on AI Developer – Agentic AI to design, build, and scale enterprise-grade agentic AI systems. You will work on multi-agent orchestration, reusable AI capabilities, and secure, scalable architectures.

Join a team delivering robust AI workflows in enterprise environments, collaborating with Cloud, Security, and ITSM teams. The role emphasizes memory handling, lifecycle governance, and developer excellence.

Qualifications

• Hands-on experience designing and operating production-grade software systems.
• Strong background in backend or platform-oriented engineering.
• Experience with LLMs or AI models as core components.
• Ability to design modular, scalable, and reusable architectures.
• Experience working in Agile environments with cross-functional teams.

Responsibilities

• Design and build agentic AI system components, including orchestration workflows and policy enforcement.
• Develop multi-agent coordination patterns and secure-by-default AI apps.
• Create reusable AI workflow components, SDKs, and utilities.
• Collaborate with Cloud, Security, ITSM teams to integrate AI workflows.
• Lead code reviews, design discussions, and mentor junior engineers.

Tools

LangChain

LangGraph

Crew AI

n8n

Python

JavaScript

jQuery

AWS

Azure

GCP

Pinecone

FAISS

Weaviate

Qdrant

Job description

About Rivvun AI

• Rivvun AI is an agentic AI platform company focused on improving financial outcomes across enterprise revenue and spend operations.
• The platform helps enterprises bring together business context, policy guardrails, external intelligence, and autonomous execution to reduce leakage and improve decision quality.
• Rivvun is founded by former Icertis executive leaders with deep experience building and scaling enterprise software businesses.

Overview:

We are seeking a highly skilled and hands-on AI Developer – Agentic AI to design, build, and scale enterprise-grade agentic AI systems and workflows. This role is ideal for individuals passionate about multi-agent systems, AI orchestration, and building secure, scalable, and reusable AI applications.

You will play a key role in implementing agentic workflows, contributing to reusable AI capabilities, and collaborating with architects to deliver robust AI systems within enterprise environments.

Roles and Responsibilities:

• Design and build core components of agentic AI systems, including orchestration workflows, lifecycle handling, memory patterns, runtime policy enforcement, and human-in-the-loop controls.
• Implement and extend architectural patterns for multi-agent coordination, bounded autonomy, failure handling, and system evolution.
• Develop agent discovery, registration, and reuse mechanisms such as agent registries, reusable modules, and API-based integrations.
• Build secure-by-default AI applications embedding governance, policy enforcement, auditability, and access control into AI workflows and systems.
• Develop reusable AI workflow components, utilities, and SDKs for consistent implementation across use cases.
• Collaborate with enterprise teams (Cloud, Security, ITSM, etc.) to integrate AI workflows into existing enterprise systems and platforms.
• Contribute to platform capabilities by implementing reusable and extensible components aligned with architectural guidelines.
• Participate in design discussions, code reviews, and technical problem-solving to ensure high-quality implementations.
• Mentor junior engineers and contribute to team-level best practices.

Experience:

• 6–10 years of experience designing, building, and operating production-grade software systems.
• Strong background in backend development, distributed systems, or platform-oriented engineering.
• Hands-on experience building systems that incorporate LLMs or AI models as core components.
• Experience developing modular, scalable, and reusable application architectures.
• Experience working in Agile environments with cross-functional teams.

Technical Skills:

• AI/LLM Systems: Experience with LLM integration, prompt orchestration, RAG pipelines, control flows, and failure handling.
• Agentic AI Frameworks & Tools: Hands-on experience with tools such as LangChain, LangGraph, Crew AI, n8n, or similar frameworks for building and orchestrating multi-agent systems.
• Programming: Proficiency in Python (preferred) and knowledge of Javascript, Jquery.
• AI Orchestration & Workflow: Experience designing agent workflows, tool usage patterns, memory handling, and multi-step reasoning pipelines.
• Cloud Platforms: Strong experience with AWS / Azure / GCP, including compute, networking, storage, and security.
• Architecture & Systems Design: Strong first-principles thinking with the ability to evaluate trade-offs across scalability, reliability, security, and cost.
• Workflow & Distributed Systems: Experience with event-driven architectures, workflow engines, and asynchronous systems.
• Security & Governance: Knowledge of authentication, authorization (OAuth 2.0), policy enforcement, and secure system design.
• Data & State Management: Experience with stateful systems, memory architectures, vector databases (e.g., Pinecone, FAISS, Weaviate, Qdrant), and long-running workflows.

Preferred Qualifications:

Bachelor’s or master’s degree in computer science, Engineering, or a related field (or equivalent experience).

What We Offer:

Opportunity to build next-generation Agentic AI systems at enterprise scale.
Exposure to cutting-edge AI technologies and complex system design challenges.
Collaborative work environment with cross-functional teams across engineering, cloud, and security.
Strong culture of innovation, ownership, and technical excellence.

• Hands-on experience with LangChain, LangGraph, Crew AI, n8n, or similar tools

Programming

• Proficiency in Python (preferred)
• Working knowledge of JavaScript and jQuery

AI Orchestration & Workflow

• Experience designing agent workflows, tool usage patterns, memory handling, and multi-step reasoning pipelines

Cloud Platforms

• Experience with AWS, Azure, or GCP across compute, networking, storage, and security

Architecture & Systems Design

• Strong understanding of scalability, reliability, performance, and cost trade-offs

Distributed Systems

• Experience with event-driven architectures, workflow engines, and asynchronous systems

Security & Governance

• Knowledge of authentication and authorization (OAuth 2.0), policy enforcement, and secure system design

Data & State Management

• Experience with stateful systems, memory architectures, and vector databases (Pinecone, FAISS, Weaviate, Qdrant)

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

What We Offer

• Opportunity to build next-generation Agentic AI systems at enterprise scale
• Exposure to cutting-edge AI technologies and complex system design challenges
• Collaborative environment across engineering, cloud, and security teams
• Strong culture of ownership, innovation, and technical excellence