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

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

AI Engineer

Columbia, SC · On-site

$55K - $187K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... Within our Internal Firm Services practice, you will apply data, algorithms, and software ...

... AI capabilities with Azure and AWS. Preferred Skills • Background in a variety of programming ... Swati Bhardwaj Digitek Software, Inc. 650 Radio Drive Lewis Center, OH 43035 Work: x 3135 Fax:

... AI capabilities with Azure and AWS. Preferred Skills • Background in a variety of programming ... Swati Bhardwaj Digitek Software, Inc. 650 Radio Drive Lewis Center, OH 43035 Work: x 3135 Fax:

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

Sr. Software Engineer I

North, SC · On-site +1

$113K - $149K/yr

We are seeking a highly capable Senior Software Engineer to deliver high-quality, scalable software ... Hands-on experience with large language models (LLMs), generative AI APIs, and intelligent ...

... 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 ...

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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 7, 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.

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 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.

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 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 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:
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.

RISC-V AI / HPC & Agentic Software Engineering Lead

Tenstorrent

North, SC • On-site, Remote

$100K - $500K/yr

Full-time

Re-posted 17 days ago


Job description

Tenstorrent is building next-generation RISC-V CPUs optimized for AI, high-performance computing, and emerging autonomous AI systems. As the RISC-V AI / HPC & Agentic Software Engineering Lead, you will operate at the hardware-software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent's RISC-V processors. This role is responsible for integrating and optimizing Tenstorrent's LLK (Low-Level Kernel) infrastructure for CPU execution, while leading the bring-up of a RISC-V-native agentic AI software stack - including runtime orchestration, distributed execution frameworks, memory systems, and developer tools required for goal-driven AI systems. You will work closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure tight alignment between software capabilities and RISC-V architectural features.

This role is remote, based out of North America.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

  • A systems-oriented software engineer with deep experience in HPC and AI software stacks.
  • Experienced with distributed AI systems, orchestration frameworks, or agentic AI architectures.
  • Comfortable working close to hardware and instruction-level programming.
  • Skilled at translating performance targets into architectural and software requirements.
  • Experienced in runtime systems, profiling, and low-level optimization.
  • Motivated by hardware-software co-design and scaling next-generation AI infrastructure.

What We Need

  • Strong background in HPC and AI software development.
  • Solid understanding of RISC-V architecture (ISA, extensions, micro-architectural implications).
  • Proficiency in C/C++ and systems programming.
  • Experience optimizing performance-critical code paths.
  • Experience with agentic AI frameworks, distributed execution systems, or orchestration platforms.
  • Familiarity with compiler toolchains (LLVM, GCC).
  • Experience with vectorization, custom ISA extensions, or accelerator integration.

What You Will Learn

  • How AI and agentic workloads map to RISC-V microarchitecture.
  • Custom ISA extension design for AI acceleration.
  • End-to-end HPC/AI/agentic stack integration.
  • Runtime orchestration for distributed AI systems.
  • Hardware-software co-design for scalable AI-native CPU platforms.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.