
AIOps Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AIOps Engineer in Reston, VA, for 12+ months at a competitive pay rate. Key skills required include AI/ML expertise, Python, AWS, and experience with LangChain. Proven experience in AI Development or MLOps is essential.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 10, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Reston, VA
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π§ - Skills detailed
#Langchain #Infrastructure as Code (IaC) #AWS (Amazon Web Services) #Python #Elasticsearch #Automation #Kubernetes #DevOps #Cloud #Version Control #ML (Machine Learning) #SQL (Structured Query Language) #Docker #NoSQL #Databases #Scripting #GIT #Ansible #Jira #AI (Artificial Intelligence) #Scala #Terraform #Deployment
Role description
Role: AIOps Engineer
Location: Reston, VA (Day 1 Onsite)
Duration: 12+ Months
Must-Have Skills
β’ AI/ML β strong hands-on experience
β’ Operations β expertise in supporting AI/ML systems and infrastructure
β’ Python β scripting, automation, and backend development
β’ LangChain, AWS β agentic frameworks & cloud expertise
Job Description
We are seeking a highly skilled AIOps Engineer with deep expertise in AI/ML operations, Python development, and modern agentic frameworks. The ideal candidate will combine strong technical knowledge with operational excellence to design, implement, and support intelligent systems.
Responsibilities
β’ Drive AI/ML operations and development, ensuring reliability, scalability, and performance.
β’ Develop and automate workflows using Python for backend services and system orchestration.
β’ Build and enhance autonomous AI agents leveraging frameworks such as LangChain, AutoGen, or similar tools.
β’ Integrate AI agents with diverse data sources including Elasticsearch, SQL, NoSQL databases, Jira, Confluence (Wiki), Git.
β’ Provide AWS operational support, with strong expertise in core AWS services.
β’ Implement and maintain Infrastructure as Code (IaC) solutions using Terraform or Ansible.
β’ Manage and optimize CI/CD pipelines and version control with Git.
β’ Work with Docker and Kubernetes for containerized deployments.
β’ Collaborate with cross-functional teams to translate technical requirements into solutions.
β’ Communicate complex AI/ML and ops concepts clearly to both technical and non-technical stakeholders.
Qualifications
β’ Proven experience in AI Development, MLOps, or AIOps roles.
β’ Strong hands-on background in Python, AWS, and agentic AI frameworks (LangChain, AutoGen, etc.).
β’ Demonstrated success in AI agent integrations with enterprise systems and data platforms.
β’ Deep understanding of cloud infrastructure, automation, and DevOps practices.
β’ Excellent problem-solving, communication, and collaboration skills.
β’ Ability to thrive in a fast-paced, cross-functional team environment.
Interested candidates please send your resume to recruiting@kbitstaffing.com
Role: AIOps Engineer
Location: Reston, VA (Day 1 Onsite)
Duration: 12+ Months
Must-Have Skills
β’ AI/ML β strong hands-on experience
β’ Operations β expertise in supporting AI/ML systems and infrastructure
β’ Python β scripting, automation, and backend development
β’ LangChain, AWS β agentic frameworks & cloud expertise
Job Description
We are seeking a highly skilled AIOps Engineer with deep expertise in AI/ML operations, Python development, and modern agentic frameworks. The ideal candidate will combine strong technical knowledge with operational excellence to design, implement, and support intelligent systems.
Responsibilities
β’ Drive AI/ML operations and development, ensuring reliability, scalability, and performance.
β’ Develop and automate workflows using Python for backend services and system orchestration.
β’ Build and enhance autonomous AI agents leveraging frameworks such as LangChain, AutoGen, or similar tools.
β’ Integrate AI agents with diverse data sources including Elasticsearch, SQL, NoSQL databases, Jira, Confluence (Wiki), Git.
β’ Provide AWS operational support, with strong expertise in core AWS services.
β’ Implement and maintain Infrastructure as Code (IaC) solutions using Terraform or Ansible.
β’ Manage and optimize CI/CD pipelines and version control with Git.
β’ Work with Docker and Kubernetes for containerized deployments.
β’ Collaborate with cross-functional teams to translate technical requirements into solutions.
β’ Communicate complex AI/ML and ops concepts clearly to both technical and non-technical stakeholders.
Qualifications
β’ Proven experience in AI Development, MLOps, or AIOps roles.
β’ Strong hands-on background in Python, AWS, and agentic AI frameworks (LangChain, AutoGen, etc.).
β’ Demonstrated success in AI agent integrations with enterprise systems and data platforms.
β’ Deep understanding of cloud infrastructure, automation, and DevOps practices.
β’ Excellent problem-solving, communication, and collaboration skills.
β’ Ability to thrive in a fast-paced, cross-functional team environment.
Interested candidates please send your resume to recruiting@kbitstaffing.com