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Crewai Jobs (NOW HIRING)

AI / Agent Engineer

New York, NY · On-site

$16.50 - $22/hr

Design, develop, and deploy AI Agent workflows using LLM-based orchestration frameworks (LangChain, AutoGen, CrewAI, or similar). * Integrate LaunchDarkly for feature flagging, progressive rollouts ...

... CrewAI, AutoGen). o Deep knowledge of LLM architectures, RAG implementation, and techniques for fine-tuning models. o Extensive experience with cloud platforms (AWS, Azure, or GCP) and related AI ...

Build and orchestrate multi-agent systems using Dataiku's Visual Agents (simple and structured), as well as code-based frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK) as ...

You'll build deep relationships with product and solutions leaders at AWS, Google Cloud, Microsoft Azure, Databricks, NVIDIA, Anthropic, CrewAI, Vercel and the next wave of category-defining AI ...

Agentic AI and ML: • Integration of commercial and open-source LLMs into agentic workflows • Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with ...

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Crewai information

What are the key skills and qualifications needed to thrive as a Crew AI 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.

Is CrewAI paid?

CrewAI is a platform that offers paid opportunities for workers, typically compensating users for completed tasks or projects. Payment details and schedules vary depending on the specific role and task requirements.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director or senior machine learning executive, often requiring advanced skills in data science, programming, and AI frameworks. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

What job makes $10,000 a month without a degree?

A crew member in certain industries, such as construction, maritime, or specialized trades, can earn around $10,000 a month with experience and skills, often without a formal degree. High-paying roles may also include sales, real estate, or entrepreneurship, which rely on performance and networking rather than formal education.

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 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 jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day typically include specialized roles such as surgeons, anesthesiologists, corporate lawyers, and certain executive positions. These roles often require advanced education, certifications, and significant experience, and may involve high-stakes environments or specialized skills. Freelance consulting, investment banking, and some tech project management roles can also reach this level with the right expertise and client base.
More about Crewai jobs
What cities are hiring for Crewai jobs? Cities with the most Crewai job openings:
What states have the most Crewai jobs? States with the most job openings for Crewai jobs include:
Infographic showing various Crewai job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Lead Application Developer (Python, Java, ML)

Lead Application Developer (Python, Java, ML)

Computer Merchant, Ltd., The

Saint Petersburg, FL • On-site

$80 - $90/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago


Job description

JOB TITLE: Lead Application Developer (Python, Java, Agentic AI)
JOB LOCATION: St. Petersburgh, FL (Hybrid)
WAGE RANGE*: $80-90/hr.
JOB NUMBER:
37086134
REQUIRED EXPERIENCE:
This is a hands-on engineering role requiring exceptional technical depth, strong design judgment, and a passion for building systems that are both innovative and enduring. You'll collaborate across engineering, data, and governance teams to ensure every solution balances speed, integrity, and long-term impact.
Skills
Technical Strengths:
- Proficiency in Python (with experience in TypeScript, Go, or Java a plus).
- Solid understanding of AWS architecture and services-deployment, monitoring, security, and cost optimization.
- Familiarity with agentic or LLM frameworks such as Strands, CrewAI, LangGraph, Agent Core, or similar.
- Experience with retrieval systems, vector databases, embeddings, and orchestration frameworks.
- Strong grounding in secure API design, data modeling, and CI/CD automation.
- Proven record of writing clean, testable, production-grade code.
Mindset: Deep curiosity, bias toward execution, and respect for precision and reliability.
Financial services experience preferred but not required.
Competencies and Behaviors:
- Analytical Thinking: Deconstruct complex technical and business challenges into clear, scalable solutions.
- Communication: Translate advanced technical concepts into shared understanding across business, technology, and risk partners.
- Judgment: Balance innovation with security, compliance, and long-term maintainability.
- Technical Mastery: Maintain and expand expertise in agentic AI, cloud engineering, and software craftsmanship.
- Collaboration: Work cross-functionally with integrity and respect, ensuring outcomes align with the firm's mission and standards.
- Client Focus and Integrity: Make decisions grounded in what best serves clients and the firm's long-term stability-acting with transparency and accountability.
JOB DESCRIPTION:
Our Client is pioneering a new class of agentic AI systems-intelligent, adaptive platforms that continuously learn from firm knowledge and act responsibly to enhance decision-making and client outcomes. These systems will enable real-time knowledge orchestration and insight generation across the enterprise, amplifying the collective intelligence of our advisors, associates, and business units.
As part of the Agentic AI Data Science team, you will architect and deliver scalable, secure, and high-performance agentic solutions using and extending frameworks such as Strands, CrewAI, LangGraph, Agent Core, and related technologies. You will help design the foundational infrastructure that allows these systems to learn safely, adapt in real time, and deliver measurable value-all while operating within the disciplined, client-first culture that defines our client.
Essential Duties and Responsibilities
- Architect and Build Agentic Systems: Design and implement agentic AI architectures capable of reasoning, planning, and self-adaptation within firm-approved security and compliance boundaries.
- Leverage and Extend Frameworks: Utilize and enhance frameworks such as Strands, CrewAI, LangGraph, and Agent Core to create standardized, reusable components that accelerate agentic development across teams.
- Cloud Engineering: Develop secure, resilient, and scalable cloud-native solutions using AWS services (Lambda, ECS, S3, API Gateway, SageMaker, Bedrock, etc.) to support production-grade AI operations.
- Monitoring and Evaluation: Implement metrics, tracing, and evaluation pipelines that ensure transparency, reliability, and continuous improvement in agentic behavior.
- Integration and Governance: Collaborate with security, risk, and compliance to embed governance, auditability, and ethical safeguards into all systems.
- Collaboration: Partner with data science, enterprise architecture, and application engineering teams to integrate agentic capabilities into firm platforms.
- Innovation Leadership: Research, test, and recommend new frameworks and patterns that responsibly advance the firm's AI capabilities.
- Ownership: Drive full lifecycle delivery-from technical design through deployment and iteration-maintaining high standards of reliability and documentation.
Other responsibilities as assigned.
Impact and Opportunity
This role is at the leading edge of our clients AI evolution-building systems that convert the firm's collective intelligence into secure, adaptive knowledge that serves clients better every day.
It's demanding work-technically complex, mission-critical, and transformative-but it's work that matters. You'll have the opportunity to shape the systems that define how knowledge flows, how teams collaborate, and how the firm competes at the top of the industry for years to come.
Education
Education/Background: Bachelor's degree in Computer Science, Engineering, or related field; equivalent experience considered.
Experience: 5+ years of professional software engineering, with demonstrated success in building scalable distributed systems or AI-powered platforms.
Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
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