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ClearSpot.ai
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Senior AI/ML Engineer with Multi-Agent Systems Experience

Senior AI/ML Engineer with Multi-Agent Systems Experience

ClearSpot.ai

3 years

0 Lacs

india

Posted:2 days ago| Platform:

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Skills Required

ai ml programming orchestration api design rest integration model retrieval workflow apache airflow coordination chat routing management architecture microservices containerization docker aws azure kafka monitoring logging security scalability planning escalation communication software devops deployment experimentation data writing combination engineering reliability

Work Mode

On-site

Job Type

Part Time

Job Description

Core Technical Skills Required

Programming & Frameworks

Python (essential - 95% of orchestration work)
Agent frameworks experience: LangChain, CrewAI, AutoGen, or LangGraph
Async programming and event-driven architectures
API design (REST, gRPC) and integration

AI/ML Fundamentals

LLM integration and prompt engineering
Understanding of different model capabilities (GPT-4, Claude, etc.)
RAG (Retrieval Augmented Generation) systems
Vector databases and embeddings

Orchestration-Specific Skills

Workflow orchestration tools: Apache Airflow, Prefect, or Dagster
Multi-agent coordination patterns (hierarchical, group chat, handoff)
Task delegation and routing logic
State management and shared memory systems

System Architecture Experience

Distributed Systems

Microservices architecture and containerization (Docker, Kubernetes)
Cloud platforms (AWS, Azure, GCP)
Message queuing and event streaming (Kafka, RabbitMQ)
Fault tolerance and error handling

Production-Grade Requirements

Observability and monitoring (logging, tracing, metrics)
Security and RBAC implementation
Scalability planning and load balancing
CI/CD pipelines and MLOps practices

Key Competencies

Orchestration Architecture Patterns

Sequential and concurrent task execution
Agent handoff and escalation workflows
Supervisor/manager patterns for multi-agent coordination
Dynamic task routing based on agent capabilities

Problem-Solving Abilities

Breaking complex tasks into subtasks
Designing agent communication protocols
Conflict resolution between agents
Building feedback loops and iterative refinement

Experience Level & Background

Minimum Experience

3-5+ years in software engineering
1-2+ years working with LLMs/AI agents
Experience deploying production AI systems

Ideal Background

DevOps/infrastructure engineers transitioning to AI
Backend engineers with distributed systems experience
ML engineers with production deployment experience
Software architects with AI/ML knowledge

Soft Skills & Mindset

Systems thinking: Understanding how autonomous components interact
Iterative development: Comfortable with experimentation and refinement
Cross-functional collaboration: Working with data scientists, product teams, stakeholders
Documentation: Clear technical writing for complex systems

Why This Profile Works

This combination is optimal because orchestration agents require:

Deep technical expertise to handle complex coordination logic
Production engineering skills to ensure reliability and scale
AI/LLM knowledge to optimize agent capabilities
Architecture experience to design maintainable systems

The profile bridges traditional software engineering with modern AI capabilities—someone who can both architect distributed systems AND understand how to make multiple AI agents collaborate effectively.

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