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Entry Level Ai Software Engineer Jobs (NOW HIRING)

AI Software Engineer I

Logan, UT · On-site

$68K - $117K/yr

As an AI Software Engineer I at ASI, you are responsible for supporting the development of internal AI-powered tools and applications under direct supervision. You contribute to front-end and ...

AI Software Developer Location: Minneapolis, MN(Remote) As a AI Software Developer, you will design and implement advanced AI/ML solutions that transform healthcare technology. You'll work on cutting ...

AI Software Engineer

Miami, FL · On-site

$91K - $130K/yr

... Software Engineer who thrives in ambiguity, works autonomously, and executes with purpose and speed. ESSENTIAL JOB DUTIES/RESPONSIBILITIES: * Experience in building and deploying AI application ...

We are looking for an individual who is passionate about joining Apple's engineering team as a Gen AI Software Engineer to design and build generative AI systems and agentic workflows for our domains.

AI Software Engineer I

Logan, UT · On-site

$68K - $117K/yr

As an AI Software Engineer I at ASI, you are responsible for supporting the development of internal AI-powered tools and applications under direct supervision. You contribute to front-end and ...

Integrate AI capabilities into production applications * Evaluate and deploy LLM solutions * Work closely with cross-functional engineering teams Nice to Have: * Kotlin experience * Kafka / gRPC

The Work Lockheed Martin Rotary & Mission Systems is seeking a full-time AI Software Engineer where you will be challenged to use your skills in a high-paced / high-visibility team environment. Why ...

We're looking for an AI Software Engineer Intern who's ready to create real impact--not just observe from the sidelines. What You'll Work On * Automating internal workflows across departments to ...

The Role We're hiring Software Engineers to own core platform systems as we scale. This is a high ... AI/ML: LLM-powered conversational agents, with growing opportunities to introduce ML-based ...

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Entry Level Ai Software Engineer information

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$24K

$104.9K

$189K

How much do entry level ai software engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for entry level ai software engineer in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can an Entry Level AI Software Engineer expect in their first year on the job?

As an Entry Level AI Software Engineer, you can typically expect to work on tasks like cleaning and preparing datasets, implementing basic machine learning models, and supporting senior engineers with model evaluation and deployment. You may also be responsible for writing production-ready code, collaborating with data scientists, and participating in code reviews. The work environment is often team-oriented, with frequent opportunities to learn from experienced colleagues and contribute to ongoing research or product development. Over time, you'll gain exposure to more complex projects and may be given greater ownership of specific features or modules.

What are the key skills and qualifications needed to thrive as an Entry Level AI Software Engineer, and why are they important?

To thrive as an Entry Level AI Software Engineer, you need a solid grasp of programming languages like Python or Java, foundational knowledge in machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, version control systems like Git, and basic data handling tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with cross-functional teams and articulate complex ideas. These skills and qualities ensure you can contribute to AI projects efficiently and adapt to the rapidly evolving field of artificial intelligence.

What does an Entry Level AI Software Engineer do?

An Entry Level AI Software Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers, helping with tasks such as data preprocessing, coding algorithms, testing models, and integrating AI features into larger systems. Their responsibilities may also include debugging code, documenting processes, and staying updated with the latest AI trends and technologies. This role is ideal for those who have a foundational understanding of programming and machine learning concepts and are eager to grow their skills in the rapidly evolving field of AI.

What is the difference between Entry Level Ai Software Engineer vs Data Scientist?

AspectEntry Level Ai Software EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some knowledge of programming and AI frameworksBachelor's or higher in CS, Statistics, or related; programming skills; knowledge of data analysis
Work EnvironmentSoftware development teams, tech companies, AI startupsData analysis teams, research labs, tech firms
Employer & Industry UsageTech companies, AI startups, R&D departmentsResearch institutions, tech firms, finance, healthcare

While both roles require programming skills and a background in AI or data analysis, Entry Level Ai Software Engineers focus on developing AI applications and software, whereas Data Scientists analyze data to extract insights. The roles often overlap in tech environments, but their core responsibilities differ.

More about Entry Level Ai Software Engineer jobs
What cities are hiring for Entry Level Ai Software Engineer jobs? Cities with the most Entry Level 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 Entry Level Ai Software Engineer jobs? States with the most job openings for Entry Level Ai Software Engineer jobs include:
AI Engineer Software (Level 2 or 3)

AI Engineer Software (Level 2 or 3)

Northrop Grumman Corporation

Redondo Beach, CA • On-site

Full-time

Medical, Life, PTO

Re-posted 4 days ago


Northrop Grumman rating

8.1

Company rating: 8.1 out of 10

Based on 353 frontline employees who took The Breakroom Quiz

108th of 528 rated manufacturers


Job description

RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE REQUIRED FOR START: No
CLEARANCE TYPE: Secret
TRAVEL: Yes, 10% of the TimeDescription
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
This requisition may be filled at the Level 2 or Level 3 based on requirements listed below.
The Northrop Grumman Aeronautics Sector in Space Park Redondo Beach/El Segundo, CA is seeking a highly motivated AI Software Engineer to join our team. Our AI team is growing and there is an opportunity to work closely with senior AI subject matter experts while simultaneously supporting the business. We are looking for a talented AI Software Engineer who can take small to medium sized projects from concept to production quickly with limited technical guidance. You will build and fine-tune Retrieval-Augmented Generation (RAG) pipelines, Agentic AI pipelines, and large language model (LLM) solutions that solve concrete business problems. You will work closely with product owners, data scientists, and senior engineers to ship reliable, scalable AI services. Successful candidates will have demonstrated the ability to build AI solutions to solve customer problems. They will have a track record as an effective communicator and problem solver who is able to develop and maintain good working relationships with internal and external stakeholders. The selected candidates will work closely with AI engineers and business partners to accomplish the following:
  • Work with customers to define, develop, and deliver AI solutions to meet mission and sector needs.
  • Design, develop, document, test and debug applications software and systems that contain logical and mathematical solutions.
  • Collaborate with cross-functional teams to deploy machine learning algorithms for testing and is in production systems.
  • Maintain understanding of the cutting-edge technologies in AI/ML.
  • Regularly demonstrate progress to customers.
  • Rapid Prototyping & Delivery - Turn medium-priority use-case specifications into working AI prototypes within 2-4 weeks and iterate to production quality.
  • RAG, Agentic AI, and LLM Development - Design and implement retrieval-augmented generation pipelines and agentic workflows integrating pretrained LLMs (e.g., GPT-4/5/OSS, Llama) though APIs and self-hosted model deployments.
  • Model Integration - Embed fine-tuned models into existing micro-service architectures (REST/GraphQL, gRPC) and expose them via APIs or internal SDKs.
  • Performance & Reliability - Set up monitoring, logging, and automated testing (unit, integration, latency) for AI services; troubleshoot model drift and latency issues.
  • Data Preparation - Collaborate with data engineers to curate, clean, and annotate domain-specific datasets for fine-tuning and evaluation.
  • Documentation & Knowledge Sharing - Write clear technical documentation, create example notebooks, and mentor junior teammates on AI best practices.
  • Continuous Improvement - Stay current with the latest LLM research, open-source tools, and industry trends; propose upgrades to the AI stack.

Basic Qualifications:
  • For level 2 consideration: Bachelor's degree in Computer Science or related STEM field and 2 years of relevant experience or Master's degree in Computer Science or related STEM field with relevant entry level experience
  • For Level 3 consideration: Bachelor's degree in Computer Science or related STEM degree and 5 years with Master's degree in Computer Science or related STEM field and 3 years of relevant experience
  • Entry level professional AI/software engineering experience; demonstrated ability to ship production-grade code
  • Ability to obtain and maintain final US Government Secret Clearance
  • Must have ability to obtain and maintain Program Access (PAR) within a reasonable period of time, as determined by the company to meet its business needs
  • Strong problem-solving skills and ability to work independently on moderately scoped projects.
  • Demonstrated ability to carry out rapid prototyping and proof-of-concept demonstrations using novel AI methods to solve real-world challenges.
  • Ability to effectively communicate system properties and results to technical staff as well as non-technical management and leadership stakeholders.
  • Proficiency in Python (including libraries such as PyTorch, Hugging Face Transformers, LangChain, LangGraph).
  • Familiarity with RAG and agentic AI concepts: vector stores (e.g., Pinecone, FAISS, Milvus), embeddings, similarity search, prompt engineering, function calling or tool use, structured outputs
  • Experience developing AI solutions using LLMs, Agentic AI, MLOps pipelines, Cloud services, ETL, evaluation of AI solution, services, containers and container orchestration
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Understanding of software engineering best practices: version control (Git), CI/CD pipelines, automated testing, code reviews.

Preferred Qualifications:
  • Active and final US Government Secret Clearance
  • Ability to obtain and maintain a U.S. Government Top Secret security clearance (U.S. citizenship is a pre-requisite)
  • Experience working with DoD/DoW customer
  • Experience building and training large neural networks on custom datasets
  • Strong understanding of neural network fundamentals, including model architectures, loss functions, optimization, regularization, and evaluation methodologies
  • Experience with supervised learning, unsupervised learning, reinforcement learning, and statistical modeling
  • Experience with deep learning frameworks (PyTorch, TensorFlow, JAX)
  • Experience working in Agile software development environment
  • Experience with leading teams and actively participating in the development of winning white papers and proposals for DoD customers
  • Familiarity with explainable AI, adversarial AI, responsible AI (NIST AI Risk Framework)
  • Familiarity with signal processing, information theory, topological data analysis, and/or genetic algorithms.

Primary Level Salary Range: $111,000.00 - $166,600.00
Secondary Level Salary Range: $137,800.00 - $206,800.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939