Mid Level Genai Software Engineer Jobs
Mid level genai software engineer jobs go to engineers ready to own features end to end, drive architectural decisions with limited oversight, and mentor junior teammates on production AI systems. Openings run across on-site, remote, and hybrid settings in Technology & Software, Banking & Financial Services, and Investment & Asset Management, with employers like Amazon Web Services, Apple, and JPMorganChase hiring at this level now.
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Job Description:
The Role
This is an individual contributor applied GenAI engineer/data science (with a focus on GenAI) role. The GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated applied GenAI engineer/data scientist with proven experience in machine learning, GenAI-related projects, application building and data science. In this role, the individual leads machine learning projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems.
You will have:
- PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 4 years plus of industrial experience.
- Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding
- Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools
- Experience taking an application from research to production and realizing measurable value from it to the team or firm
- Ability to work on and drive progress for multiple projects at the same time
- Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions
- Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
- Excellent planning, project management, leadership, and research skills
- Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations
- Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges
The Team
We are a GenAI technology team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from research to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models.
The base salary range for this position is $126,000-255,000 USD per year.Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
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Who's Hiring
- Amazon Web Services5
- Apple4
- JPMorganChase4
- PwC2
- Google2
Top Industries Hiring
- Technology & Software13
- Banking & Financial Services8
- Investment & Asset Management7
- Electronics & Hardware5
- Distribution & Wholesale5
Mid Level Genai Software Engineer Jobs: Frequently Asked Questions
How do I get a mid level genai software engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you designed or shipped a generative AI feature independently, made model or architecture decisions, and handled production concerns like latency, cost, or safety. Tailor your resume to show measurable outcomes from that work, and be ready to discuss tradeoffs you navigated without heavy direction from a senior engineer.
Which companies hire mid level genai software engineers?
Companies hiring mid level genai software engineers right now include Amazon Web Services, Apple, and JPMorganChase, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers established tech companies building internal AI products, startups deploying LLM-powered features, and enterprises integrating generative AI into existing platforms.
Are there remote mid level genai software engineer jobs?
Yes, and the share is substantial. About 24% of mid level genai software engineer openings are remote or hybrid as of July 2026, reflecting how broadly distributed AI engineering teams have become. Search Migrate Mate and filter by work setting to see which roles are fully remote versus hybrid before applying.
How do I move up to a mid level genai software engineer role?
The path from entry level to mid level in generative AI centers on deepening specialization and taking increasing ownership over time. Build experience fine-tuning or prompting large language models, work across the full lifecycle of at least one shipped AI feature, and demonstrate you can debug and improve a system without step-by-step guidance. Measurable impact on model quality, latency, or reliability is what separates mid level candidates from junior contributors.
Which industries hire the most mid level genai software engineers?
Mid Level genai software engineer roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of July 2026. These sectors are investing heavily in generative AI product development and need engineers who can take ownership of features rather than work only under close supervision.