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Crewai Jobs in Rochester, NY (NOW HIRING)

Knowledge of agentic AI frameworks (LangChain, LangGraph, AutoGPT, CrewAI, etc.) * Experience with vector databases and RAG architecture * Familiarity with prompt engineering techniques and LLM fine ...

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.

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 are popular job titles related to Crewai jobs in Rochester, NY? For Crewai jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Crewai jobs in Rochester, NY look for? The top searched job categories for Crewai jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Crewai jobs? Cities near Rochester, NY with the most Crewai job openings:

Specialist, Application Developer

L3HHCM20

Rochester, NY • On-site

$79K - $146K/yr

Other

Medical, Retirement, PTO

Re-posted 15 days ago


Job description

Job Title: Specialist, Application Developer 

Job Code: 38077

Job Location: (On Site) Melbourne, FL; Rochester, NY; Salt Lake City, UT; or Rockwall TX

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

This position is responsible for developing, implementing, and maintaining AI-powered applications and automation solutions that drive business value across the enterprise. This role combines application development expertise with data engineering and artificial intelligence capabilities to build intelligent systems that enhance operational efficiency and enable data-driven decision-making. The selected candidate will work closely with software application development, data engineering, IT, and business stakeholders to deliver secure, scalable, and business-relevant solutions.

Essential Functions:

  • Design, develop, test, and maintain AI-powered applications and automation solutions using modern development frameworks and cloud platforms
  • Work within Palantir Foundry (or similar platforms) to build data-driven applications and analytical workflows
  • Support end-to-end software development activities, including requirements analysis, architecture, coding, integration, testing, and deployment
  • Build and integrate LLM-based applications leveraging generative AI technologies for business use cases
  • Develop agentic AI systems that can autonomously perform tasks, make decisions, and interact with multiple tools and APIs
  • Create and maintain data pipelines for AI model integration, feature engineering, and real-time inference
  • Implement AI solutions for classification, prediction, natural language processing, and computer vision applications
  • Build automation workflows that integrate AI capabilities with existing enterprise systems and business processes
  • Develop APIs, microservices, and supporting components to expose AI functionality to downstream applications and users
  • Perform model evaluation, validation, and performance analysis using appropriate technical metrics
  • Optimize application performance, scalability, and cost-efficiency of AI workloads
  • Ensure compliance with software development standards, cybersecurity requirements, data protection policies, and responsible AI practices
  • Collaborate with cross-functional teams to translate business and technical needs into effective solutions
  • Evaluate and integrate emerging AI technologies and frameworks to maintain competitive advantage
  • Prepare and maintain technical documentation, design artifacts, user guides, and test results
  • Troubleshoot and resolve issues in production AI systems, implementing monitoring and alerting solutions
  • Support lifecycle sustainment of deployed capabilities including defect resolution and performance improvements
  • Participate in agile development processes including sprint planning, daily standups, retrospectives, and technical reviews
  • Contribute to the development of reusable AI components and internal libraries
  • Contribute technical solutions within established architectures and development processes
  • Identify risks and recommend mitigation strategies
  • Stay current with the rapidly evolving AI landscape and share knowledge with the broader team

Qualifications:

  • Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.

Preferred Additional Skills:

  • Strong programming skills and experience with at least one modern programming language (Python, Java, C#, JavaScript, etc.)
  • Hands-on experience working with LLMs and generative AI APIs
  • Demonstrated experience building and deploying applications that integrate AI capabilities
  • Experience with software integration, REST APIs, and service-based architectures
  • Proficiency in data manipulation and analysis using pandas, SQL, and data warehousing concepts
  • Familiarity with version control (Git), automated builds, testing processes, and modern development workflows
  • Experience with Palantir Foundry platform for building data applications and workflows
  • Knowledge of agentic AI frameworks (LangChain, LangGraph, AutoGPT, CrewAI, etc.)
  • Experience with vector databases and RAG architecture
  • Familiarity with prompt engineering techniques and LLM fine-tuning approaches
  • Front-end development skills (React, Vue, or similar) for building AI application interfaces

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $79,000-$146,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $69,000-$128,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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