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Junior Mulesoft Developer Jobs in Kansas (NOW HIRING)

StackAdapt

Mentor system admins and junior developers to build and configure AI Agents. What you'll bring to ... Experience with enterprise integration platforms (e.g., Workato, MuleSoft, Boomi).Experience with ...

hireVouch

$135K/yr

Responsible for assisting in the maintenance of 6 MuleSoft integrations connected with 120+ systems ... developers while maintaining accountability for outcomes. * Mentor junior team members and ...

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Junior Mulesoft Developer information

See Kansas salary details

$21.4K

$79.4K

$122.6K

How much do junior mulesoft developer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for junior mulesoft developer in Kansas is $79,353.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $77,600.00 per year, depending on experience, location, and employer.

What is a Junior Mulesoft Developer job?

A Junior Mulesoft Developer is an entry-level professional responsible for developing, testing, and maintaining integrations using Mulesoft's Anypoint Platform. They work under senior developers to design APIs, connect applications, and automate business processes. Their tasks often include writing Mule applications, debugging integration issues, and ensuring data flows between systems efficiently. Knowledge of RESTful APIs, XML, JSON, and Mulesoft tools is essential. This role helps businesses streamline operations by integrating various applications and services.

What are the key skills and qualifications needed to thrive in the Junior Mulesoft Developer position, and why are they important?

A Junior Mulesoft Developer should have a foundational understanding of software development principles, API integration, and knowledge of Mulesoft Anypoint Platform, typically supported by a degree in computer science or a related field. Familiarity with tools such as Anypoint Studio, DataWeave, and REST/SOAP APIs, as well as Mulesoft Certified Developer credentials, is highly valuable. Strong problem-solving abilities, communication skills, and a willingness to learn quickly help junior developers excel in team environments. These technical and interpersonal skills are crucial for successfully delivering integration solutions that align with business requirements while collaborating effectively with more experienced team members.

What are the typical daily responsibilities of a Junior Mulesoft Developer?

As a Junior Mulesoft Developer, your daily responsibilities often include assisting in the design, development, and testing of integration solutions using the Mulesoft Anypoint Platform. You might work closely with senior developers to implement APIs, troubleshoot integration issues, and ensure that data flows smoothly between different systems. Regular tasks typically involve writing DataWeave scripts, participating in code reviews, and documenting integration processes. You will also collaborate with business analysts, QA teams, and other stakeholders to understand project requirements and deliver high-quality solutions that support business goals.

What are the most commonly searched types of Mulesoft Developer jobs in Kansas? The most popular types of Mulesoft Developer jobs in Kansas are:
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What cities in Kansas are hiring for Junior Mulesoft Developer jobs? Cities in Kansas with the most Junior Mulesoft Developer job openings:
Junior Mulesoft Developer jobs near you
Infographic showing various Junior Mulesoft Developer job openings in Kansas as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $79,353 per year, or $38.2 per hour.

Automation Engineer, Agentic Orchestration

StackAdapt

On-site, Remote

Other

Re-posted 29 days ago

Job description

What We're Looking For:

An Automation Engineer with a focus on Agentic Orchestration focuses on seamlessly connecting AI capabilities, including orchestrated agent systems, with existing business processes and enterprise applications. This role will leverage modern AI tools and frameworks to build sophisticated automation solutions and create and configure AI agents to handle complex, non-repetitive tasks that require reasoning, context-awareness, and interaction with multiple systems. Our ultimate goal is to design and deploy autonomous agentic systems that can independently manage and execute complex business processes with a high degree of accuracy and efficiency.

What you'll be doing:
  • Collaborate with business stakeholders to conduct in-depth analysis of existing workflows, identifying and documenting opportunities for intelligent, AI-driven automation.
  • Oversee the entire lifecycle of AI agent development, from initial design and prototyping to testing, deployment, configuration, and lifecycle of AI solutions in production. 
  • Ensure AI agent development security, scalability, and reliability through ongoing monitoring and performance tuning.
  • Design and implement integration solutions to connect AI agents and models with enterprise systems such as CRMs, ERPs, and internal databases.
  • Design and implement an evaluation system that serves as a mechanism for quality control and continuous improvement.
  • Build and configure AI agents to perform tasks such as natural language understanding, data extraction, decision-making, and system interactions.
  • Develop custom connectors, APIs, and middleware to facilitate data exchange and process automation between AI services and other applications.
  • Continuously explore and evaluate new AI technologies and tools to drive innovation in automation.
  • Mentor system admins and junior developers to build and configure AI Agents.
What you'll bring to the table:
  • Demonstrable experience with AI services from major cloud providers (e.g., OpenAI, Google Vertex AI, AWS Bedrock) and hands-on experience with LLM APIs.
  • A solid understanding of business process analysis and re-engineering.
  • Solid understanding of Natural Language Processing (NLP), LLMs, and ML principles.
  • Experience with enterprise integration platforms (e.g., Workato, MuleSoft, Boomi).Experience with RPA platforms (e.g., UiPath, Automation Anywhere, Blue Prism) is a plus, but the focus is on modern AI-driven automation.
  • Hands-on experience with conversational AI platforms and frameworks for building chatbots and virtual assistants.
  • Proficiency in Python and its associated AI/ML libraries (e.g., LangChain, LlamaIndex, Pandas, TensorFlow, or PyTorch).
  • A solid understanding of embedding processes, vector databases, RAG systems and knowledge graphs.
  • Strong understanding of API design principles (REST, RPC, SSE, GraphQL) and data formats (JSON, XML).
  • Familiarity with database technologies (SQL and NoSQL).A creative and  analytical mindset with  passion for solving complex problems through automation.
  • Entrepreneurial approach, strong builder with excellent problem-solving skills and the ability to work effectively in a cross-functional team.
  • Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience.
 

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