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1099 Contractor Full Stack Developer Jobs in Montevallo, AL

PNC Bank

Software Engineer - Full Stack

Birmingham, AL · On-site

Knowledge of cloud platforms and modern DevOps practices. Experience working with relational and/or ... Java Full Stack Development, Microservice Framework, Process Improvements, Release Management ...

AD&I

Locum Dentist (1099 Contractor)

Homewood, AL · On-site

$150K - $400K/yr

Locum Dentist - 1099 Contractor Serving as a Contracted Locums Tenens Dentist with Affordable ... Full autonomy over your availability and schedule with the opportunity to travel to practices in ...

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All Jobs1099 Contractor Full Stack Developer Jobs1099 Contractor Full Stack Developer Jobs in Montevallo, AL

1099 Contractor Full Stack Developer information

See Montevallo, AL salary details

$23

$58

$84

How much do 1099 contractor full stack developer jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for 1099 contractor full stack developer in Montevallo, AL is $58.29, according to ZipRecruiter salary data. Most workers in this role earn between $48.46 and $67.16 per hour, depending on experience, location, and employer.

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.

1099 Contractor Full Stack Developer jobs near you
Infographic showing various 1099 Contractor Full Stack Developer job openings in Montevallo, AL as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,247 per year, or $58.3 per hour.

Manager - GenAI Full Stack Developer

Deloitte

Birmingham, AL

Other

Re-posted 22 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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