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Trainee Ai Software Engineer Jobs (NOW HIRING)

Purview Services

AI Software Engineer

Austin, TX · On-site

AI Software Engineer Work Model: Dallas, TX | Austin, TX | San Francisco, CA (Onsite-4 Days ) Duration: Long Term We are seeking an experienced AI Software Engineer to join a team building next ...

SWITS DIGITAL Private Limited

AI Software Engineer

AI Software Engineer Location: US - Remote Job Type: Fulltime Project Overview As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing ...

Purview Services

AI Software Engineer

Austin, TX · On-site

AI Software Engineer (Contract) Location: Dallas, TX | Austin, TX | San Francisco, CA Employment Type: Contract We are seeking an experienced AI Software Engineer to help transform how software is ...

IntraEdge

AI software Engineer

Austin, TX · On-site

We are seeking an AI Software Engineer to help transform how software is built, tested, and delivered. This role is for a strong software engineer who can use GenAI and agentic development tools as a ...

IntraEdge

AI software Engineer

Austin, TX

We are seeking an AI Software Engineer to help transform how software is built, tested, and delivered. This role is for a strong software engineer who can use GenAI and agentic development tools as a ...

webAI

AI Software Engineer

Austin, TX · On-site

The AI Software Engineer will focus on deploying models, optimizing performance, and collaborating with AI Scientists to create scalable and efficient software solutions. Responsibilities : • Model ...

webAI

AI Software Engineer

Austin, TX · On-site

The AI Software Engineer will focus on optimizing machine learning models for efficiency and reliability, collaborating closely with AI Scientists to enhance production-grade software.

Azumo

AI Software Engineer - Remote

AI Software Engineer (Generative AI) Azumo , a leading AI Development company , is seeking a highly motivated AI Software Engineer to join our growing team of expert AI developers . We specialize in ...

ERP Suites

AI Software Engineer

Loveland, OH · Remote

ERP Suites is seeking AI Software Engineers to join our growing team and contribute to the development of innovative AI solutions, both productized and custom. This role is ideal for individuals who ...

ERP Suites

AI Software Engineer

Loveland, OH · On-site +1

ERP Suites is seeking AI Software Engineers to join our growing team and contribute to the development of innovative AI solutions, both productized and custom. This role is ideal for individuals who ...

Archesys Inc

AI Software Engineer

Baltimore, MD · Remote

$100K - $135K/yr

We're seeking a AI Software Engineer who is passionate about building production-grade AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI. This ...

Booz Allen Hamilton

AI Software Engineer

Arlington, VA

$86K - $198K/yr

AI Software Engineer The Opportunity: As an artificial intelligence (AI) software engineer, you know that good software is more than just a nice-looking interface and data. Today, you need to develop ...

Aveva

AI Software Engineer

Lake Forest, CA · Hybrid

$103K - $172K/yr

AI Software Engineer Location: Lake Forest, United States of America(Hybrid) Employment type: Full-time The job We are looking for passionate and seasoned AI Software Engineers to join our Core AI ...

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Trainee Ai Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do trainee ai software engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for trainee ai software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Ai Software Engineer vs Junior Ai Developer?

AspectTrainee Ai Software EngineerJunior Ai Developer
Required CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldEntry-level, often with a degree or equivalent experience
Work EnvironmentTraining programs, mentorship, supervised projectsReal-world projects, team collaboration, task execution
Employer & Industry UsageInternships, training programs in tech companies, startupsTech companies, AI startups, research labs

The main difference is that a Trainee Ai Software Engineer is in a learning or training phase, focusing on gaining skills under supervision, while a Junior Ai Developer has more hands-on experience and is responsible for developing AI solutions independently within a team.

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

To thrive as a Trainee AI Software Engineer, you need a solid understanding of programming languages (such as Python or Java), foundational knowledge of algorithms, data structures, and basic principles of machine learning, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks and tools like TensorFlow, PyTorch, and version control systems such as Git is highly beneficial. Strong analytical thinking, problem-solving ability, and a willingness to learn help you adapt quickly and collaborate effectively on technical teams. These skills and qualities are crucial for successfully contributing to AI development projects and keeping pace with rapidly evolving technology.

What does a trainee AI software engineer do?

A Trainee AI Software Engineer is an entry-level professional who assists in designing, developing, and testing artificial intelligence models and applications. They often work under the supervision of senior engineers, learning to implement machine learning algorithms, process data, and contribute to AI projects. This role is ideal for those looking to gain practical experience while building a foundation in AI concepts and software engineering practices. Trainees also collaborate with other team members, participate in code reviews, and may assist in research or prototyping new AI solutions.

What are some common challenges faced by trainee AI software engineers, and how can they be addressed?

Trainee AI Software Engineers often encounter challenges such as understanding complex machine learning algorithms, adapting to rapidly evolving technologies, and bridging the gap between theoretical knowledge and practical implementation. To address these, it's helpful to actively seek mentorship from senior engineers, participate in code reviews, and dedicate time to hands-on projects or Kaggle competitions. Additionally, regularly collaborating with data scientists and software development teams can accelerate your learning and help you gain practical insights into real-world AI applications.
What cities are hiring for Trainee Ai Software Engineer jobs? Cities with the most Trainee Ai Software Engineer job openings:
What are the most commonly searched types of Ai Software Engineer jobs? The most popular types of Ai Software Engineer jobs are:
What states have the most Trainee Ai Software Engineer jobs? States with the most job openings for Trainee Ai Software Engineer jobs include:
Trainee Ai Software Engineer jobs near you

AI Software Engineer

Purview Services

Austin, TX • On-site

Other

Posted 5 days ago

Job description

Position: AI Software Engineer

Work Model: Dallas, TX | Austin, TX | San Francisco, CA (Onsite-4 Days )

Duration: Long Term

We are seeking an experienced AI Software Engineer to join a team building next-generation AI-powered applications and platforms. This role is ideal for engineers who combine strong software engineering fundamentals with hands-on experience developing and deploying Generative AI solutions in production environments.

What You'll Do

  • Design, build, and deploy scalable AI-powered applications and services
  • Develop and optimize Retrieval-Augmented Generation (RAG) systems
  • Build AI agents, workflow automation solutions, and intelligent assistants
  • Integrate LLMs such as OpenAI, Claude, Gemini, and open-source models into production systems
  • Design APIs, microservices, and cloud-native architectures
  • Implement vector database solutions and knowledge retrieval pipelines
  • Establish monitoring, evaluation, guardrails, and observability for AI systems
  • Collaborate with cross-functional teams to deliver secure, reliable, and scalable solutions

Required Qualifications

  • Strong software engineering background with Python, Java, Go, or TypeScript
  • Experience building production-grade AI/GenAI applications
  • Hands-on experience with:
    • OpenAI, Claude, Gemini, Llama, or similar LLMs
    • LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or related frameworks
    • RAG architectures and vector databases (Pinecone, Weaviate, Qdrant, Chroma, Milvus)
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
  • Knowledge of APIs, distributed systems, microservices, and scalable architecture
  • Strong debugging, testing, and code review skills

Preferred Qualifications

  • AI Agent development and orchestration
  • Prompt engineering and evaluation frameworks
  • LLM observability and monitoring tools
  • MLOps, Kubernetes, Docker, CI/CD, and Infrastructure as Code
  • Experience with enterprise AI deployments and governance

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