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Crewai Jobs in Florida (NOW HIRING)

Enboarder

Machine Learning Engineer

Boca Raton, FL · On-site

$130 - $170/hr

Autonomous Agent Development Design and deploy multi‑agent systems using frameworks such as LangGraph, AutoGen, CrewAI, or no‑code/low‑code agent frameworks to execute complex, non‑linear ...

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Crewai information

What is a crewAI?

Crewai is not a traditional job title but rather a term related to CrewAI, an open-source framework that enables the creation and orchestration of collaborative AI agent teams to solve complex tasks. People working with Crewai typically build, configure, or manage multi-agent systems using this framework, often in tech or AI development roles. These professionals leverage agents—autonomous programs—to collaborate, communicate, and achieve shared objectives, streamlining workflows and automating sophisticated processes. Crewai experts are usually skilled in programming, artificial intelligence, and software integration.

What are the key skills and qualifications needed to thrive as a crewAI engineer, and why are they important?

To thrive as a Crew AI Engineer, you need a strong background in computer science, AI/ML algorithms, and proficiency in programming languages like Python or Java, often supported by a relevant degree. Experience with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and possibly certifications like AWS Certified Machine Learning are typical requirements. Excellent problem-solving skills, teamwork, and adaptability help you stand out in this fast-evolving field. These skills ensure you can design, implement, and maintain robust AI systems that enhance team productivity and drive innovation.

What are some common challenges faced when coordinating tasks within a crewAI team, and how can they be effectively managed?

Crewai team members often work in dynamic, cross-functional groups, which requires effective communication and adaptability. Common challenges include aligning schedules across different time zones, ensuring clear task delegation, and maintaining consistent progress updates. These challenges can be managed by using collaborative project management tools, setting regular check-ins, and fostering a transparent team culture. Open communication and proactive problem-solving help ensure everyone stays informed and engaged.

What are popular job titles related to Crewai jobs in Florida?

For Crewai jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Crewai jobs in Florida look for?

The top searched job categories for Crewai jobs in Florida are:

What cities in Florida are hiring for Crewai jobs?

Cities in Florida with the most Crewai job openings:

Crewai jobs near you
Infographic showing various Crewai job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

Information Technology_USA - USA_Lead

Real Soft, Inc.

Jacksonville, FL • On-site

$95K - $125K/yr

Contractor

Re-posted 28 days ago

Job description

**Please strictly adhere to the following resume naming convention: ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_CandidateBeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413 : -/hr MSP Owner: Subhashree SamalLocation: San Antonio, TX; Plano, TX - onsite Duration: 6 months skill id: 10861266Lead Engineer6-8 yearsGo, Python, Java, Terraform, C2, S3, Terraform/CloudFormation, Lambda, DynamoDB"Troubleshooting Skills - 5 years:Systematic debuggingLog analysisPerformance profilingIncident responsePrompt Engineering - 2 years:Prompt Design: effective prompts for different personas, tasks, schema & modelsFew-shot & Zero-shot Learning: guide model behaviorsTool use integration: prompt to interact with APIs, Databases and external toolsBuilding AI Agents - 2 years:Agent Frameworks: langchain, autogen, crewai, MCP, etc.Memory & Context Management: long-term memory, RAGTool Use & Planning: Integrating external tools (API/DB), multi-step reasoning, task decompositionState management: goal tracking, actions, outcomesLLM Integration: using common open and closed models (OpenAI, Gemini, Anthropic, Llama, etc.)Evaluation & safety: testing agent behavior, fail-safes, ethical constraintsSecurity: input sanitization, sensitive data handling, prompt injection projection, scoped permissions, logging, rate limiting"Bedrock, Bedrock Agents, IAM policies, roles, KMS, secrets managerRole Descriptions: "Troubleshooting Skills 5 years:Systematic debuggingLog analysisPerformance profilingIncident responsePrompt Engineering 2 years:Prompt Design: effective prompts for different personas| tasks| schema & modelsFew-shot & Zero-shot Learning: guide model behaviorsTool use integration: prompt to interact with APIs| Databases and external toolsBuilding AI Agents 2 years:Agent Frameworks: langchain| autogen| crewai| MCP| etc.Memory & Context Management: long-term memory| RAGTool Use & Planning: Integrating external tools (API/DB)| multi-step reasoning| task decompositionState management: goal tracking| actions| outcomesLLM Integration: using common open and closed models (OpenAI| Gemini| Anthropic| Llama| etc.)Evaluation & safety: testing agent behavior| fail-safes| ethical constraintsSecurity: input sanitization| sensitive data handling| prompt injection projection| scoped permissions| logging| rate limiting"Essential Skills: Go| Python| Java| Terraform| C2| S3| Terraform/CloudFormation| Lambda| DynamoDBBedrock| Bedrock Agents| IAM policies| roles| KMS| secrets managerDesirable Skills: Keyword: Skills: Digital : Python~Digital: TerraformExperience Required: 6-8

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