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Gen Ai Software Developer Jobs in Columbia, SC (NOW HIRING)

Pwc

AI Engineer

Columbia, SC · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

Integer Technologies

Software Engineer

Columbia, SC · On-site

$120 - $160/hr

Implement and oversee DevOps methodologies to ensure software integrity, maintainability, and ... Demonstrated proficiency in AI and ML technologies, including modeling, and machine learning ...

Integer

Software Engineer

Columbia, SC · On-site

Implement and oversee DevOps methodologies to ensure software integrity, maintainability, and ... Demonstrated proficiency in AI and ML technologies, including modeling, and machine learning ...

Cornerstone Defense LLC

SETA AI Engineer

Columbia, SC · On-site

$220 - $250/hr

SETA AI Engineer Location: Columbia, MD Compensation Range: $220 -$250K Clearance: Active TS/SCI w ... Experience with software development fundamentals including APIs, data handling, and system ...

Greenlight Guru

Sr. Software Engineer I

North, SC · Remote

$113K - $149K/yr

We are seeking a highly capable Senior Software Engineer to deliver high-quality, scalable software ... Exposure to or interest in AI-powered features in a SaaS product - experience with large language ...

Pwc

CTIO AI Engineering Manager

Columbia, SC · On-site

$73K - $244K/yr

... Software Engineering, Artificial Intelligence and Robotics preferred - Designing, training, and ... AI systems using GitHub Actions - Implementing vector databases and orchestration tools like ...

Cisco

Software Tech Leader, Splunk IAM

Columbia, SC

Meet the Team Join the Splunk IAM Engineering team. As AI adoption accelerates and autonomous ... Your Impact As a Software Engineering Technical Leader, you will help shape the systems, policies ...

Pwc

US Tech - AI Engineering Manager

Columbia, SC · On-site

$73K - $244K/yr

... software, platform, or cloud engineering, including people leadership - In lieu of a Bachelor ... AI use cases into scalable platform capabilities - Defining and enforcing automated testing ...

Dry Pro Basement Systems

Machinist

Columbia, SC · On-site

$65K - $85K/yr

Utilize Mastercam and CAM Assist or other AI software for machining processes * Ensure precision ... Read and interpret blueprints, engineering drawings, and specifications * Maintain a safe and ...

A Groundworks Company

Machinist

Columbia, SC · On-site

$65K - $85K/yr

Utilize Mastercam and CAM Assist or other AI software for machining processes * Ensure precision ... Read and interpret blueprints, engineering drawings, and specifications * Maintain a safe and ...

Stacklok

Software Engineer II - Platform

North, SC · On-site +1

$157K - $192K/yr

The Opportunity Enterprises are moving AI agents from experimentation into production, and they ... As a Software Engineer II on Stacklok's core platform team, you will help build and harden the ...

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All JobsGen Ai Software Developer JobsGen Ai Software Developer Jobs in Columbia, SC

Gen Ai Software Developer information

See Columbia, SC salary details

$44.4K

$103.5K

$153.6K

How much do gen ai software developer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for gen ai software developer in Columbia, SC is $103,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $120,300.00 per year, depending on experience, location, and employer.

What is a Gen AI software developer?

A Gen AI Software Developer is a professional who designs, builds, and maintains software systems that leverage generative artificial intelligence models, such as large language models (LLMs) or generative adversarial networks (GANs). Their work often involves training, fine-tuning, and deploying AI models to generate content, automate tasks, or enhance user experiences in applications. They need strong programming skills, a solid understanding of machine learning principles, and familiarity with AI frameworks. Gen AI Software Developers collaborate with data scientists, engineers, and product teams to deliver innovative AI-driven solutions. As generative AI becomes more prevalent, these developers play a key role in shaping the future of software development.

What are the key skills and qualifications needed to thrive as a Gen AI software developer, and why are they important?

To thrive as a Gen AI Software Developer, you need strong programming skills (especially in Python), a background in computer science or a related field, and expertise in machine learning and deep learning principles. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of version control systems are typically required, along with certifications in AI or data science being advantageous. Creative problem-solving, collaboration, and effective communication help developers work across technical and non-technical teams and drive innovation. These skills ensure the development of robust, scalable AI solutions that address real-world needs and integrate seamlessly within organizations.

How do Gen AI software developers typically collaborate with data scientists and product managers during the development process?

Gen AI Software Developers regularly work alongside data scientists to translate machine learning models into scalable, production-ready applications. They collaborate closely with product managers to understand user requirements and ensure that AI-powered features align with business goals. This teamwork often involves participating in cross-functional meetings, iterative feedback cycles, and joint problem-solving sessions to address technical challenges and optimize model performance. Clear communication and a shared understanding of project objectives are essential for success in this collaborative environment.

What is the difference between Gen Ai Software Developer vs Machine Learning Engineer?

AspectGen Ai Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming skills
Work EnvironmentTech companies, startups, AI-focused teamsResearch labs, tech firms, AI/ML departments
Employer & Industry UsageAI product development, software solutionsModel development, data analysis, AI system deployment
Common Search & ComparisonFocuses on AI application development in softwareFocuses on building and optimizing ML models

While both roles involve AI and require programming skills, Gen Ai Software Developers primarily focus on creating AI-powered software applications, whereas Machine Learning Engineers specialize in designing, building, and optimizing machine learning models. The roles often overlap but differ in their core focus and typical work environments.

What are popular job titles related to Gen Ai Software Developer jobs in Columbia, SC?

For Gen Ai Software Developer jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Gen Ai Software Developer jobs in Columbia, SC look for?

The top searched job categories for Gen Ai Software Developer jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Gen Ai Software Developer jobs?

Cities near Columbia, SC with the most Gen Ai Software Developer job openings:

Gen Ai Software Developer jobs near you
Infographic showing various Gen Ai Software Developer job openings in Columbia, SC as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $103,472 per year, or $49.7 per hour.

Senior AI/ML C++ software engineer

Lexington, SC • On-site

MLS Technologies
Recruiting and Staffing Services • 11 - 50 employees
Learn more about MLS Technologiesexternal

$104K - $138K/yr

Full-time

Re-posted 7 days ago

Job description

Senior Embedded Controls Engineer: C++/Linux and Machine Learning exp.
As an AI Machine Learning Engineer focus will be on designing and developing scalable solutions using AI tools and machine learning models. Addressing various neural network-related challenges in transportation sector.

This involves leveraging big data computation and storage tools to create prototypes and datasets, conducting model training and evaluations, integrating solutions, performing bench tests and onsite tests, tuning, and monitoring. Proficiency in languages such as C and C++ is required, along with software development for Linux platforms.
Your responsibilities
Design and develop real time AI .

Neural Network solutions for transportation industry maintenance equipment. Implementing appropriate ML algorithms.
Write clean, documented code following best practices.
Develop and implement communication protocols.
Work independently and collaboratively with a motivated team.
Generate requirements and design documentation.
Plan for, design, and deliver testing, and tested products into the QA process.
Apply communication and problem-solving skills to solve software issues related to the design, development, deployment, testing, and operation of systems.
Qualifications
Education
Master"s / Bachelor"s degree in Software Engineering or similar experience.
Experience
5+ years of experience in developing CNN, R-CNN type neural network for computer vision tasks.
5+ years of experience in Software development using C++ & Linux embedded.
Experience with Supervised and Semi-Supervised Learning, Deep Learning, Support Vector Machines, Linear and Logistic Regression.
Working knowledge of AI Framework such as TensorFlow, Caf?, PyTorch, Keras, Darknet and OpenCV.
Working knowledge of AI edge devices such as NVIDIA Jetson / Nano / Orin.
Knowledge of the Linux Operating System.
Preferred Experience
Experience using statistical computer languages (R, Python, SQL etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Experience with edge computing & controlling devices (On-device deployment in C/C++ or similar) for real time application.
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization).
Education:Bachelor LevelEmployment Type: FULL_TIME

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