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1099 Contractor Full Stack Developer Jobs in Kansas

SCOR

Senior Full Stack Engineer

Leawood, KS · On-site

Job Summary We are seeking an experienced and highly motivated Senior Full Stack Engineer to design ... Cloud/DevOps: Azure, CI/CD (Gitlab preferably), containers, monitoring, configuration. Nice-to ...

Human Agency

US Applicants - Full-Time; Canadian Applicants - Independent Contractor About Human Agency We're ... Experience in DevOps, CI/CD pipelines, and secure release management. * Background in security ...

Finite State

The Role We're looking for a Senior Full-Stack Software Engineer with deep expertise in Next.js, TypeScript, PostgreSQL/Supabase, and AI-assisted development to design, build, and deliver the ...

SynergisticIT

Junior Java/C++ Developer

Olathe, KS · On-site

$63K - $82K/yr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

Cheez

Minimum 2-3 years of software engineering experience * Have built mobile apps (and/or web apps) full-stack before * Enthusiastic about photo sharing and/or AI and/or social media

Word-Tech, Inc

Be Seen First

.Net Developer

Mission, KS · On-site

$65K - $110K/yr

About the Role We need a reliable and talented full-stack developer to build and maintain high-quality web applications using .NET 10, Blazor, and MudBlazor. You will work on responsive, performant ...

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1099 Contractor Full Stack Developer information

What are the key skills and qualifications needed to thrive as a 1099 Contractor Full Stack Developer, and why are they important?

To thrive as a 1099 Contractor Full Stack Developer, you need strong proficiency in both front-end and back-end programming languages (such as JavaScript, Python, HTML/CSS, and SQL), as well as experience with frameworks like React, Node.js, or Django. Familiarity with cloud platforms, version control systems like Git, and relevant certifications (e.g., AWS Certified Developer) are typically valuable. Excellent time management, communication, and problem-solving skills are crucial for meeting project deadlines and collaborating with diverse clients. These skills enable contractors to deliver high-quality, end-to-end solutions efficiently while adapting to varying project requirements.

What are some common challenges faced by 1099 Contractor Full Stack Developers when managing multiple client projects?

As a 1099 Contractor Full Stack Developer, one of the main challenges is effectively balancing multiple client projects with varying requirements and deadlines. Contractors are responsible for their own time management, communication, and project prioritization, which can be demanding without the structure of a traditional team. It's important to set clear expectations with clients, use project management tools, and maintain transparent communication to ensure all deliverables are met. Additionally, staying up-to-date with both front-end and back-end technologies is essential, as clients often expect versatile technical expertise.

What is a 1099 Contractor Full Stack Developer?

A 1099 Contractor Full Stack Developer is a self-employed professional who is hired to work on both front-end and back-end aspects of web development projects. The '1099' refers to the IRS form used to report income for independent contractors in the U.S., meaning they are not employees but work on a contractual basis. These developers typically manage their own taxes, work for multiple clients, and have flexibility in choosing their projects. They are responsible for delivering complete web solutions, from designing user interfaces to building and maintaining server-side logic.

What is the difference between 1099 Contractor Full Stack Developer vs W-2 Employee Full Stack Developer?

Aspect1099 Contractor Full Stack DeveloperW-2 Employee Full Stack Developer
Tax StatusIndependent contractor responsible for taxesEmployee with taxes withheld by employer
Work EnvironmentTypically freelance or project-basedFull-time, in-office or remote
CredentialsSame technical skills, certifications optionalSame technical skills, certifications optional
Employer UsageHired for specific projects or short-term needsPart of company's regular staff

In summary, a 1099 Contractor Full Stack Developer works independently on projects, managing their taxes, while a W-2 Employee Full Stack Developer is a full-time staff member with taxes withheld by the employer. Both roles require similar technical skills, but their employment status and work arrangements differ significantly.

What are popular job titles related to 1099 Contractor Full Stack Developer jobs in Kansas? For 1099 Contractor Full Stack Developer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching 1099 Contractor Full Stack Developer jobs in Kansas look for? The top searched job categories for 1099 Contractor Full Stack Developer jobs in Kansas are:
What cities in Kansas are hiring for 1099 Contractor Full Stack Developer jobs? Cities in Kansas with the most 1099 Contractor Full Stack Developer job openings:
1099 Contractor Full Stack Developer jobs near you
Infographic showing various 1099 Contractor Full Stack Developer job openings in Kansas as of June 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 70% In-person, and 30% Remote job distribution.

Manager - GenAI Full Stack Developer

Deloitte

Wichita, KS

Other

Re-posted 3 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

56th of 150 rated financial services

Job description

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on July 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on July 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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