Mid Level Llm Engineer Jobs
Mid level llm engineer jobs go to engineers ready to own model pipelines end to end, make architectural decisions with limited oversight, and help junior teammates level up. Openings are concentrated in Technology & Software, Electronics & Hardware, and Telecommunications, with a strong mix of remote and hybrid positions, and employers like Qualcomm, FIS, and FUKU hiring at this level now.
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Showing 5 of 11+ Mid Level Llm Engineer jobs
INTRODUCTION
You are building the AI infrastructure layer that takes generative AI from experiment to enterprise reality at a Private-Equity-backed professional services business. This is not a role where you maintain what someone else built. You are defining how AI applications get deployed, monitored, and operated across the business. You set the standards. You shape the architecture. The decisions you make here will matter. Day to day you are working with frontier models and frameworks across OpenAI, Anthropic, Google, and LangGraph. You are building out LLMs, owning AI observability, and making sure the systems you ship actually hold up in production at enterprise scale. You are not leaving that experience behind, you are applying it to one of the fastest growing areas in engineering. AI governance, evaluation pipelines, deployment automation, these are the skills that will define the next decade of infrastructure work, and you are building them here.
ROLE AND RESPONSIBILITIES
You bring solid MLOps experience and a strong grip on ML infrastructure with a background in software engineering. You know what it takes to move models out of notebooks and into production environments that real businesses depend on.
BASIC QUALIFICATIONS
- This is a fully remote role paying between $160,000 and $190,000.
Ready to stop experimenting and start building the real thing? No up-to-date resume required. We can work on updating it together once we speak.
INTRODUCTION
You are building the AI infrastructure layer that takes generative AI from experiment to enterprise reality at a Private-Equity-backed professional services business. This is not a role where you maintain what someone else built. You are defining how AI applications get deployed, monitored, and operated across the business. You set the standards. You shape the architecture. The decisions you make here will matter. Day to day you are working with frontier models and frameworks across OpenAI, Anthropic, Google, and LangGraph. You are building out LLMs, owning AI observability, and making sure the systems you ship actually hold up in production at enterprise scale. You are not leaving that experience behind, you are applying it to one of the fastest growing areas in engineering. AI governance, evaluation pipelines, deployment automation, these are the skills that will define the next decade of infrastructure work, and you are building them here.
ROLE AND RESPONSIBILITIES
You bring solid MLOps experience and a strong grip on ML infrastructure with a background in software engineering. You know what it takes to move models out of notebooks and into production environments that real businesses depend on.
BASIC QUALIFICATIONS
- This is a fully remote role paying between $160,000 and $190,000.
Ready to stop experimenting and start building the real thing? No up-to-date resume required. We can work on updating it together once we speak.
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Mid Level Llm Engineer Jobs: Frequently Asked Questions
How do I get a mid level llm engineer job?
Position your experience around ownership, not just contribution. Highlight projects where you drove the full development cycle, from prompt engineering and fine-tuning through evaluation and deployment. Concrete outcomes matter most: latency improvements, accuracy gains, or production systems you shipped. Tailor your resume to show depth in a specific LLM stack rather than breadth across many tools, and be ready to discuss tradeoffs you made independently.
Which companies hire mid level llm engineers?
Companies hiring mid level llm engineers right now include Qualcomm, FIS, and FUKU, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a wide range of employers, including AI-native startups building core products, enterprise technology teams integrating LLMs into existing platforms, and research-adjacent organizations scaling early prototypes into production systems.
Are there remote mid level llm engineer jobs?
Yes, remote and hybrid options are well represented at this level. About 33% of mid level llm engineer openings are remote or hybrid as of August 2026, reflecting how distributed AI teams have become standard across the industry. Engineers with strong async communication skills and documented systems thinking tend to be competitive for fully remote positions.
How do I move up to a mid level llm engineer role?
The path from entry level to mid level llm engineer is built through accumulated ownership. Early in your career, focus on contributing to production LLM systems rather than only prototypes. Over time, take on full feature ownership, propose architectural improvements, and document the measurable impact of your work. Demonstrating that you can operate with less supervision and mentor peers signals readiness for mid level responsibilities.
Which industries hire the most mid level llm engineers?
Mid Level llm engineer roles concentrate in Technology & Software, Electronics & Hardware, and Telecommunications, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at this level because they are actively moving LLM applications from pilot stages into scalable production, requiring engineers who can own that transition rather than just assist with it.