AI Application Engineer Jobs
AI Application Engineer jobs are open across technology, finance, healthcare, and enterprise software, from new-grad to staff and principal levels, with specializations in LLM integration, RAG pipelines, and model deployment. See the openings below and apply to the ones that match your experience.
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Overview
Bober, Peterson & Koby, LLP is a workers compensation legal firm located in Irvine, California. We are looking for Software Engineer/AI Application Developer to join our team. The Software Engineer / AI Application Developer is responsible for developing and supporting internal software and AI solutions that improve how BPK attorneys and staff work. This position works closely with employees across the firm to identify opportunities for automation, improve existing workflows, and build practical technology solutions.
A primary focus of the role is the continued development and support of BPK's internal AI application, which assists with document review, drafting, dictation, and other legal workflows.
Key Responsibilities
- Develop, maintain, and improve internal software applications used by attorneys and staff.
- Build AI-powered tools that assist with document review, summarization, drafting, dictation, and information extraction.
- Work with attorneys and staff to understand business needs and turn them into practical technology solutions.
- Integrate internal applications with existing firm systems, including MerusCase and Microsoft services.
- Manage and support BPK's cloud-based applications and related infrastructure.
- Troubleshoot technical issues and provide support for internally developed applications.
- Test and evaluate new AI tools and technologies that may benefit the firm.
- Maintain technical documentation and assist with training and adoption of new technology.
- Work with internal IT staff and outside technology and security partners when necessary.
Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
- Experience developing and maintaining software applications.
- Familiarity with modern web development and cloud technologies.
- Experience or interest in artificial intelligence and automation.
- Strong problem-solving and troubleshooting skills.
- Ability to manage projects independently from initial idea through implementation and ongoing support.
- Strong communication skills and the ability to work with both technical and nontechnical employees.
Benefits
At Bober, Peterson & Koby, LLP, we prioritize the well-being and professional success of our attorneys. We offer a comprehensive benefits package designed to provide stability, support, and a healthy work-life balance:
- Performance-based bonus program.
- Comprehensive Health Coverage: 100% of the base HMO/PPO premium is covered for employees, with 75% coverage for dependents for medical, dental, and vision.
- Generous Paid Time Off: 120 hours of paid time off, 16 hours of floating holiday, 40 hours of sick time, and our holiday closure. Our office closes fully from December 24, 2026, through January 3, 2027, allowing our team to recharge, fully paid.
- Financial & Retirement Security: 401(k) retirement plan with a 4% company match, vesting immediately.
- Flexibility: This role has the option of in-person and hybrid arrangements.
- Additional Perks: Monthly car stipends, quarterly activities/events, and a vibrant office culture featuring Bagel Tuesdays every week, Coffee Tuesdays to kick off each month and more!
Pay: $120,000.00 - $145,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Bereavement leave
- Dental insurance
- Dependent health insurance coverage
- Family leave
- Free parking
- Health insurance
- Life insurance
- On-site gym
- Paid holidays
- Paid jury duty
- Paid parental leave
- Paid sick time
- Paid time off
- Parental leave
- Referral program
- Snacks provided
- Vision insurance
Work Location: Hybrid remote in Irvine, CA 92602
AI Application Engineer Jobs by Experience Level
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Find AI Application Engineer JobsAI Application Engineer Job Market
Who's Hiring
- Booz Allen Hamilton20
- JPMorganChase13
- SpaceX12
- Johns Hopkins University Applied Physics Laboratory9
- CVS Health7
Top Industries Hiring
- Technology & Software21
- Fintech8
- Education8
- Banking & Financial Services5
- Healthcare & Medical Services5
What Employers Look For
The qualifications that appear most often in AI application engineer jobs.
- Professional experience building and deploying LLM-powered applications in production environments
- Proficiency with Python and at least one orchestration framework such as LangChain or LlamaIndex
- Hands-on experience with vector databases and retrieval-augmented generation pipelines
- Ability to integrate third-party AI APIs and manage prompt engineering at scale
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model serving
- Bachelor's degree in computer science, software engineering, or a closely related technical field
Tips for Your AI Application Engineer Job Search
Show deployment work, not just prototypes
Hiring managers for ai application engineer roles want to see models you shipped to production, not demos. Document latency benchmarks, cost-per-token decisions, and the infrastructure choices you made. Projects that never left a notebook rarely move your resume forward.
Match your resume to the stack listed
AI application engineer postings vary sharply between companies using OpenAI APIs, open-source models, or internal fine-tuned systems. Mirror the specific frameworks and orchestration tools named in each posting, whether that is LangChain, LlamaIndex, or a vector database like Pinecone or Weaviate.
Apply early to roles that fit
Migrate Mate lists ai application engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by application layer, not just AI
Filter for titles that specify the product surface you want, such as conversational AI, document intelligence, or recommendation systems. Applying to roles aligned with your domain experience gets you past automated screening faster than broad AI generalist searches.
Prepare a system design answer for LLM pipelines
Most ai application engineer technical interviews include a prompt-to-production design question. Practice walking through retrieval-augmented generation architecture decisions out loud, covering chunking strategy, embedding model choice, re-ranking, and guardrail placement before you walk into any screen.
Negotiate scope alongside compensation
AI application engineer roles differ widely in whether you own the full pipeline or hand off to an ML platform team. Before accepting an offer, clarify model access, compute budget authority, and whether you are building new features or maintaining existing integrations. Scope shapes your growth trajectory.
AI Application Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most ai application engineers?
The companies hiring the most ai application engineers right now include Booz Allen Hamilton, JPMorganChase, and SpaceX, with the largest share of openings in California, Texas, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is concentrated at technology companies and large enterprises actively embedding AI into customer-facing and internal products.
How many ai application engineer jobs are remote?
About 65% of ai application engineer openings are fully remote or hybrid as of November 2026, reflecting the cloud-native nature of most AI application stacks. Roles focused on API integration and prompt engineering tend to be the most remote-friendly, while positions requiring on-site collaboration with data or ML platform teams skew toward hybrid or in-office arrangements.
How do you become an ai application engineer?
Start by building a solid foundation in Python and software engineering fundamentals, then work through hands-on projects that connect large language models to real application layers. Learn retrieval-augmented generation patterns, practice integrating AI APIs into functional prototypes, and deploy at least one project to a cloud environment. Contributing to open-source AI tooling and documenting your builds publicly accelerates recognition from hiring teams.
Can you get hired as an ai application engineer with little experience?
Yes, candidates with limited formal experience can get hired by demonstrating applied project work rather than years on a resume. Build a small production-grade application using a public LLM API, document your architecture decisions, and publish the code. Target companies piloting AI features rather than those with mature AI platform teams, since those environments value builders who move fast over credentialed specialists.
What does the ai application engineer interview process look like?
Most processes start with a recruiter screen, followed by a technical phone interview covering Python proficiency and AI API familiarity. The core stage is typically a system design or take-home exercise where you design or build an LLM-powered feature end to end. Final rounds usually include a live coding session, an architecture discussion with senior engineers, and a cross-functional interview to assess product thinking.
Where can I find and apply to ai application engineer jobs?
You can find and apply to ai application engineer jobs on Migrate Mate, which lists current openings from companies across the United States. Search for roles that match your experience level and specialization, then apply directly to each listing. New openings are added regularly, so checking back frequently gives you access to roles before competition builds.
See All 408+ AI Application Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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