Mid Level Generative AI Engineer Jobs
Mid level generative ai engineer jobs go to engineers ready to own model pipelines end to end, make architecture decisions with limited oversight, and mentor junior teammates on prompt engineering and evaluation workflows. Hiring runs across Technology & Software, Artificial Intelligence, and Consulting & Professional Services, with 40% of openings remote or hybrid, and employers like Google, Meta, and Amazon competing for engineers at this level now.
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Showing 5 of 43+ Mid Level Generative AI Engineer jobs
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Modem Technologies SoftwareGeneral Summary:
We are seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team.
The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems.
Key Responsibilities:
Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
Create robust evaluation frameworks for measuring and improving model performance
Build and maintain agentic workflows for autonomous AI systems
Collaborate with cross-functional teams to identify opportunities and implement AI solutions
Minimum Qualifications:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Electrical Engineering, or related work experience.
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Electrical Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, or related work experience.
Required Qualifications:
Bachelor's or Master's degree in Computer Science, or related technical field
3+ years of experience in Machine Learning/AI engineering
Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
Practical experience with LLM deployments and fine-tuning
Experience with vector databases and embedding models
Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure)
Strong understanding of RAG architectures and implementation
Preferred Qualifications:
Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)
Knowledge of prompt engineering and chain-of-thought techniques
Experience with containerization and microservices architecture
Background in Reinforcement Learning
Contributions to open-source AI projects
Experience with ML ops and model deployment pipelines
Skills and Competencies:
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Experience with agile development methodologies
Ability to balance multiple projects and priorities
Strong focus on code quality and best practices
Understanding of AI ethics and responsible AI development
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits :
$155,000.00 - $232,600.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Modem Technologies SoftwareGeneral Summary:
We are seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team.
The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems.
Key Responsibilities:
Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
Create robust evaluation frameworks for measuring and improving model performance
Build and maintain agentic workflows for autonomous AI systems
Collaborate with cross-functional teams to identify opportunities and implement AI solutions
Minimum Qualifications:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Electrical Engineering, or related work experience.
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Electrical Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, or related work experience.
Required Qualifications:
Bachelor's or Master's degree in Computer Science, or related technical field
3+ years of experience in Machine Learning/AI engineering
Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
Practical experience with LLM deployments and fine-tuning
Experience with vector databases and embedding models
Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure)
Strong understanding of RAG architectures and implementation
Preferred Qualifications:
Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)
Knowledge of prompt engineering and chain-of-thought techniques
Experience with containerization and microservices architecture
Background in Reinforcement Learning
Contributions to open-source AI projects
Experience with ML ops and model deployment pipelines
Skills and Competencies:
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Experience with agile development methodologies
Ability to balance multiple projects and priorities
Strong focus on code quality and best practices
Understanding of AI ethics and responsible AI development
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits :
$155,000.00 - $232,600.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .
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Find JobsMid Level Generative AI Engineer Job Market
Who's Hiring
- Google7
- Meta5
- Amazon3
- Citi2
- Apple2
Top Industries Hiring
- Technology & Software30
- Artificial Intelligence8
- Consulting & Professional Services7
- Investment & Asset Management5
- Retail3
Mid Level Generative AI Engineer Jobs: Frequently Asked Questions
How do I get a mid level generative ai engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you drove design choices, built pipelines from prompt to production, or improved model quality through systematic evaluation. Strong applications show proficiency with at least one major LLM API or fine-tuning workflow, a portfolio of shipped work, and clear evidence of independent problem-solving rather than execution under close supervision.
Which companies hire mid level generative ai engineers?
Companies hiring mid level generative ai engineers right now include Google, Meta, and Amazon, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers product-driven tech companies, AI-native startups scaling their engineering teams, and large enterprises building internal generative AI tooling across functions like customer experience, content, and data.
Are there remote mid level generative ai engineer jobs?
Yes, remote and hybrid options are common at this level. About 40% of mid level generative ai engineer openings are remote or hybrid as of July 2026, reflecting how broadly distributed engineering teams have become across the industry. On-site roles do exist, particularly at early-stage startups and companies where close collaboration on model experimentation is a priority.
How do I move up to a mid level generative ai engineer role?
The path from entry level to mid level centers on deepening ownership over time. Engineers who make this jump have usually led a feature or pipeline component end to end, learned to evaluate and iterate on model outputs independently, and built comfort with the full stack from data prep through deployment. Demonstrating measurable impact, such as latency improvements or quality gains, accelerates the transition more than tenure alone.
Which industries hire the most mid level generative ai engineers?
Mid Level generative ai engineer roles concentrate in Technology & Software, Artificial Intelligence, and Consulting & Professional Services, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they are investing heavily in embedding generative AI into core products and workflows, creating sustained demand for engineers who can own meaningful parts of that build rather than support it from the margins.