Software Development Engineer-Agentic AI & Multi-Agent Systems

Gruve

Experience: 3+ yrs
Location: Mumbai, Maharashtra, India
Job type: Full-time

Required skills

Python
LangGraph
Quadrant
Dgraph
Docker
Kubernetes
VLLM
Cloud Code
AWS
GCP
Azure
Cloud Native

About the role

About Gruve

Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Position Summary:

We are seeking an experienced Developer to join our dynamic team focused on building cutting-edge Agentic AI solutions. This role will be central to the development of a multi-agent system using advanced technologies such as Langraph, Quadrant, and Dgraph. The ideal candidate will have 3-5 years of experience in Python development and a proven track record in designing, developing, and deploying AI-driven systems.

Key Responsibilities:

Develop and Deploy a multi-agent AI platform using LangGraph, Quadrant, and Dgraph technologies.
Develop scalable, high-performance solutions with a focus on agentic AI and knowledge graph integration.
Collaborate with cross-functional teams to ensure seamless integration of AI agents with cloud-based systems.
Take ownership of the codebase and ensure quality, maintainability, and scalability.
Utilize Cloud Code and cloud-native development best practices to enhance system efficiency.
Drive innovation by exploring new frameworks, tools, and methodologies in AI and machine learning.
Manage containerized applications using Docker and Kubernetes for efficient deployment and orchestration of AI workloads.
Implement and optimize AI models using VLLM for large-scale language model inference and fine-tuning.

Required Skills & Qualifications:

3-5 years of experience in Python development with a focus on AI, machine learning, or systems integration.
Proven experience building multi-agent solutions and knowledge graph-based systems, particularly using LangGraph, Quadrant, and Dgraph.
Strong proficiency in Cloud Code and cloud-native development practices.
Hands-on experience with Docker and Kubernetes for containerization and orchestration of AI workloads.
Experience working with large-scale language models, particularly using VLLM for inference and fine-tuning.
Excellent problem-solving and leadership skills, with the ability to guide teams and mentor junior developers.

Preferred:

Experience in building and deploying distributed systems on cloud platforms (AWS, GCP, Azure).
Familiarity with reinforcement learning, neural networks, and advanced AI algorithms.

This is an exciting opportunity to be at the forefront of AI-driven automation in a rapidly evolving field. If you are passionate about cutting-edge technology and building scalable multi-agent solutions, we would love to hear from you!

Why Gruve

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

About Gruve

Provides enterprise AI infrastructure and autonomous software agents.

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