About Us

Deccan AI Experts is a pioneering AI company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in high-quality human-curated data, AI-first operations, and advanced AI evaluation systems. Our global network of AI infrastructure and platform experts helps train and evaluate next-generation AI models through expert technical judgment, distributed AI systems expertise, and real-world multi-agent platform engineering experience.

About the Role

We are seeking a Multi-Agent Platform Engineer (Freelancer) to support advanced AI evaluation initiatives focused on multi-agent AI systems, agent orchestration, distributed AI workflows, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), agent communication, and AI-generated technical content evaluation.

In this role, you will evaluate AI-generated multi-agent architectures, orchestration frameworks, agent collaboration workflows, memory systems, tool integrations, reasoning pipelines, and technical documentation. Your expertise will help improve AI systems designed for enterprise AI agents, autonomous workflows, and intelligent decision-making.

This position is ideal for professionals with experience in AI agents, LLM application development, AI orchestration, distributed systems, AI platforms, backend engineering, or enterprise AI infrastructure.

Responsibilities

- Review AI-generated multi-agent architectures, orchestration workflows, tool integrations, memory frameworks, retrieval pipelines, APIs, and system documentation.
- Evaluate enterprise AI platforms involving autonomous agents, planning frameworks, task decomposition, tool orchestration, human-in-the-loop workflows,



and knowledge retrieval.
- Verify AI-generated recommendations for agent communication, state management, memory optimization, orchestration strategies, fault tolerance, monitoring, and deployment.
- Assess AI-generated AI platforms for scalability, maintainability, observability, security, and enterprise readiness.
- Identify reasoning failures, orchestration bottlenecks, agent communication issues, context management problems, memory limitations, and integration gaps.
- Provide structured feedback to improve AI performance in multi-agent systems, enterprise AI platforms, and autonomous workflows.
- Review peer-developed deliverables to maintain quality and consistency standards.

Requirements

- Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Information Technology, Data Science, or a related field.
- Master's degree is preferred.
- 2+ years of hands-on experience in AI platform engineering, backend engineering, distributed systems, machine learning engineering, AI infrastructure, or LLM application development.
- Proficiency in Python is required. Experience with Go, Java, TypeScript, or C# is preferred.
- Familiarity with Docker, Kubernetes, REST APIs, GraphQL, Kafka, Redis, cloud platforms (AWS, Azure, Google Cloud), monitoring, and CI/CD pipelines.
- Excellent analytical thinking, system design, debugging, documentation,



and written English communication skills.
- Strong attention to detail and ability to evaluate enterprise AI platforms.
- Ability to work independently in a remote, fast-paced environment.

Preferred Qualifications

- Experience working with enterprise AI platforms, AI startups, cloud providers, consulting firms, SaaS companies, or research organizations.
- Experience designing autonomous AI agents, enterprise copilots, intelligent workflow automation, agent collaboration frameworks, or AI operating systems.
- Experience evaluating AI-generated multi-agent architectures, orchestration strategies, RAG pipelines, AI workflows, or platform documentation.
- Familiarity with AI benchmarking, AI red teaming, RLHF (Reinforcement Learning from Human Feedback), AI governance, LLMOps, observability, or secure AI deployment is highly desirable.
- Contributions to open-source AI frameworks or distributed systems projects are a plus.
- Professional certifications in cloud computing, Kubernetes, AI engineering, Azure AI, Google Cloud AI, or AWS Machine Learning are advantageous.

Why Join Us

- Competitive hourly pay: ₹1,800/hour
- Fully remote with flexible working hours.
- Opportunity to contribute to cutting-edge AI initiatives in Agentic AI, multi-agent systems, and Generative AI.
- Exposure to advanced AI systems focused on autonomous agents, enterprise AI platforms, orchestration frameworks, and intelligent automation.
- Versatile project-based opportunities with global teams.
- Work on next-generation AI solutions supporting enterprise software companies, AI startups, cloud providers, research labs, and intelligent automation platforms.

📌 Multi-Agent Platform Engineer (Freelancer) (Hyderabad)
🏢 Deccan AI Experts
📍 Hyderabad