

CodeGeniusRecruit
Machine Learning Engineer | Remote
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Machine Learning Engineer position offering a one-time contract at $500. It requires strong experience in deploying AI agents, orchestration frameworks, and multi-agent systems, along with problem-solving and communication skills. Remote work is available.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
500
-
ποΈ - Date
April 24, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Monitoring #Scala #ML (Machine Learning) #AI (Artificial Intelligence)
Role description
Work Snapshot
Type: Hourly contract
Location: Remote
Commitment: One-time
Pay: $500 One-time
What Youβll Be Doing
β’ Design and ship production-ready AI agents with orchestration, composition, and state management
β’ Build evaluation and reliability tooling for agents operating at scale
β’ Develop systems for institutional knowledge capture and retrieval such as RAG and agent-based workflows
β’ Optimize agent performance across real-world use cases and high-frequency executions
β’ Contribute to improving robustness, monitoring, and failure handling in agent systems
What Weβre Looking For
β’ Strong experience in building and deploying AI agents in production environments
β’ Strong understanding of orchestration frameworks such as LangGraph, AutoGen, CrewAI, Temporal, or similar
β’ Strong experience in multi-agent systems, state management, and failure handling
β’ Strong experience in building evaluation frameworks for AI systems including offline and online testing
β’ Ability to analyze trade-offs and provide practical, real-world solutions
β’ Strong problem-solving skills with a focus on system reliability and scalability
β’ Strong communication skills with the ability to explain complex systems clearly
How To Apply
β’ Upload resume
β’ Interview
β’ Submit form
Work Snapshot
Type: Hourly contract
Location: Remote
Commitment: One-time
Pay: $500 One-time
What Youβll Be Doing
β’ Design and ship production-ready AI agents with orchestration, composition, and state management
β’ Build evaluation and reliability tooling for agents operating at scale
β’ Develop systems for institutional knowledge capture and retrieval such as RAG and agent-based workflows
β’ Optimize agent performance across real-world use cases and high-frequency executions
β’ Contribute to improving robustness, monitoring, and failure handling in agent systems
What Weβre Looking For
β’ Strong experience in building and deploying AI agents in production environments
β’ Strong understanding of orchestration frameworks such as LangGraph, AutoGen, CrewAI, Temporal, or similar
β’ Strong experience in multi-agent systems, state management, and failure handling
β’ Strong experience in building evaluation frameworks for AI systems including offline and online testing
β’ Ability to analyze trade-offs and provide practical, real-world solutions
β’ Strong problem-solving skills with a focus on system reliability and scalability
β’ Strong communication skills with the ability to explain complex systems clearly
How To Apply
β’ Upload resume
β’ Interview
β’ Submit form






