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Full Time Mid Level Ai Engineer Jobs (NOW HIRING)

Clera

AI Engineer (Mid-Level)

San Francisco, CA · On-site

About the Role This is a mid-level AI Engineer role on the core product team, focused on building agentic systems that automate complex, multi-step workflows across regulated and enterprise domains.

Clera

AI Engineer (Mid-Level)

San Francisco, CA · On-site

$180K - $400K/yr

As a mid-level AI Engineer on the core product team, you'll own production LLM-based services end-to-end, collaborate closely with founders and product, and ship features that deliver measurable ...

Credence

Mid-Level AI Software Engineer

Mclean, VA · On-site

Position Summary Credence has an immediate need for a Mid-Level AI Software Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice.

Credence

Mid-Level AI Software Engineer

Mclean, VA · On-site

Position Summary Credence has an immediate need for aMid-Level AI Software Engineerto join our ... AI Software Engineer * Maintain strong software engineering principles while leveraging the latest ...

Travelport

AI Engineer

Atlanta, GA · On-site +1

We are looking for a Mid-Level AI Engineer to help design and build custom AI agents that work with travel industry data. In this role, you will focus on creating scalable, intelligent systems that ...

U.S. Bank

Mid-Level AI Platform Engineers

Chicago, IL · On-site

Job Summary The Senior Engineer (Generative AI) is responsible for designing, developing, and deploying scalable Generative AI (GenAI) solutions within an enterprise environment. This role requires ...

COMPLETE HEALTHCARE

Mid-Level Practitioner

Marion, OH · On-site

$94K - $122K/yr

Join COMPLETE HEALTHCARE in Columbus as a Full-Time Mid-Level Practitioner and elevate your career in a vibrant, collaborative environment. This onsite role offers the opportunity to make a ...

COMPLETE HEALTHCARE

Mid-Level Practitioner

Marion, OH · On-site

$110K/yr

Join COMPLETE HEALTHCARE in Columbus as a Full-Time Mid-Level Practitioner and elevate your career in a vibrant, collaborative environment. This onsite role offers the opportunity to make a ...

COMPLETE HEALTHCARE

Mid-Level Practitioner

Delaware, OH · On-site

$103K - $133K/yr

Join COMPLETE HEALTHCARE in Columbus as a Full-Time Mid-Level Practitioner and elevate your career in a vibrant, collaborative environment. This onsite role offers the opportunity to make a ...

COMPLETE HEALTHCARE

Mid-Level Practitioner

Columbus, OH · On-site

$105K - $136K/yr

Join COMPLETE HEALTHCARE in Columbus as a Full-Time Mid-Level Practitioner and elevate your career in a vibrant, collaborative environment. This onsite role offers the opportunity to make a ...

COMPLETE HEALTHCARE

Mid-Level Practitioner

Delaware, OH · On-site

$110K/yr

Join COMPLETE HEALTHCARE in Columbus as a Full-Time Mid-Level Practitioner and elevate your career in a vibrant, collaborative environment. This onsite role offers the opportunity to make a ...

COMPLETE HEALTHCARE

Mid-Level Practitioner

Columbus, OH · On-site

$110K/yr

Join COMPLETE HEALTHCARE in Columbus as a Full-Time Mid-Level Practitioner and elevate your career in a vibrant, collaborative environment. This onsite role offers the opportunity to make a ...

LJB, Inc.

Mid-level Design Engineer

Miamisburg, OH · On-site

$85K - $140K/yr

We are currently seeking a candidate to fill a full-time Mid-Level Design Engineer position in Dayton, Ohio . The successful candidate will possess a can-do attitude, have a passion for and take ...

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All JobsFull Time Mid Level Ai Engineer Jobs

Full Time Mid Level Ai Engineer information

See salary details

$39K

$101.8K

$137.5K

How much do full time mid level ai engineer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for full time mid level ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by mid-level AI engineers in full-time roles, and how can they be managed?

Mid-level AI engineers often encounter challenges such as balancing project deadlines with the complexity of developing and deploying machine learning models, integrating AI solutions with existing systems, and managing ambiguous problem statements. Navigating these challenges typically involves effective communication with cross-functional teams, time management, and continuous learning to stay updated on the latest AI frameworks and best practices. Proactively seeking mentorship and participating in code reviews can also help refine technical skills and facilitate smoother project execution.

What are the key skills and qualifications needed to thrive as a Full Time Mid Level AI Engineer, and why are they important?

To thrive as a Full Time Mid Level AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with data modeling. Proficiency in programming languages like Python, familiarity with machine learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms are typically required. Problem-solving abilities, strong communication, and teamwork skills help you effectively collaborate and translate complex technical ideas. These skills ensure you can develop, deploy, and maintain AI solutions that drive business value and innovation.

What is the difference between Full Time Mid Level Ai Engineer vs Data Scientist?

AspectFull Time Mid Level Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping AI models, deploying algorithms, collaborating with engineering teamsAnalyzing data, building predictive models, creating reports for business insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, tech industries

Full Time Mid Level Ai Engineers focus on developing and deploying AI models within technical teams, while Data Scientists analyze data to generate insights. Both roles require similar educational backgrounds and often collaborate, but their core responsibilities differ in application and focus.

What is a Full Time Mid Level AI Engineer?

A Full Time Mid Level AI Engineer is a professional who works on developing, implementing, and optimizing artificial intelligence models and systems in a full-time capacity. At the mid-level, they typically have a few years of experience and are proficient in programming languages like Python, as well as machine learning frameworks such as TensorFlow or PyTorch. Their responsibilities often include building and training models, analyzing data, collaborating with other engineers or data scientists, and deploying AI solutions to solve real-world problems. They also contribute to code reviews, documentation, and may mentor junior team members.
More about Full Time Mid Level Ai Engineer jobs
What states have the most Full Time Mid Level Ai Engineer jobs? States with the most job openings for Full Time Mid Level Ai Engineer jobs include:
What job categories do people searching Full Time Mid Level Ai Engineer jobs look for? The top searched job categories for Full Time Mid Level Ai Engineer jobs are:
Full Time Mid Level Ai Engineer jobs near you
Infographic showing various Full Time Mid Level Ai Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

AI Engineer (Mid-Level)

Clera

San Francisco, CA • On-site

Full-time

Posted 20 days ago

Job description

About the Role

This is a mid-level AI Engineer role on the core product team, focused on building agentic systems that automate complex, multi-step workflows across regulated and enterprise domains. You'll work across the full stack to ship production LLM-based services, ensure reliability and safety, and collaborate with leadership, product, and design to deliver measurable user impact.

What You'll Do

  • Design, build, and maintain agentic systems that automate complex, multi-step workflows across healthcare, legal, fintech, logistics, and compliance domains.

  • Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure including vector databases, embeddings, and indexing for domain-specific search at scale.

  • Implement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences.

  • Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level trust and reliability.

  • Ship full-stack AI products from MVP to enterprise-grade by designing APIs and data models, implementing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing.

  • Collaborate with leadership, product, and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry.

What We're Looking For

  • 2–8 years of software engineering experience with demonstrated delivery of shipped user-facing or backend products.

  • Practical experience deploying LLMs or LLM-based services in production, including prompt design, orchestration, and tool integration.

  • Proficiency across the stack: Python plus TypeScript/React (or equivalent), and experience with cloud platforms (AWS or GCP) and relational or NoSQL databases.

  • Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines, with sound judgment to choose appropriate approaches.

  • Experience building automated tests, evaluations, and monitoring for AI systems to ensure reliability beyond demos.

  • Experience with agent or workflow frameworks and orchestration tools.

  • Familiarity with fine-tuning, parameter-efficient tuning, or multi-modal model integration.

  • Background building multi-tenant or enterprise-ready systems, or experience in regulated industries such as healthcare, fintech, or legal.

  • Experience designing API-driven, high-throughput systems and real-time product features.

  • Proven ownership delivering end-to-end features from data model to deploy and monitoring, with a user-centric and pragmatic engineering mindset.

Location

Remote or San Francisco, CA, United States.