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Full Time Mid Level Ai Engineer Jobs in Alabama (NOW HIRING)

TCS

Mid-level Network Engineer

Huntsville, AL

Mid-level Network Engineer - TS Clearance Clearances Required: Active DoD Top-Secret Location: Huntsville, Alabama, United States TCS is searching for a Network Engineer - Mid-level for an exciting ...

TCS

Mid-level Network Engineer

Huntsville, AL

Mid-level Network Engineer - TS Clearance Clearances Required: Active DoD Top-Secret Location: Huntsville, Alabama, United States TCS is searching for a Network Engineer - Mid-level for an exciting ...

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Full Time Mid Level Ai Engineer information

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.

What are the key skills and qualifications needed to thrive as a full time mid level AI engineer?

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 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 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.

Are full time mid level AI engineers in high demand?

Full-time mid-level AI engineers are in high demand due to the rapid growth of artificial intelligence applications across industries. Employers seek professionals with skills in machine learning, deep learning, and programming languages like Python, often requiring experience with frameworks such as TensorFlow or PyTorch. This demand is expected to continue as AI adoption expands in sectors like healthcare, finance, and technology.

How much do full time mid level AI engineers make?

Full-time mid-level AI engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Salaries can increase with specialized skills in machine learning frameworks, programming languages, and data handling tools.

What are popular job titles related to Full Time Mid Level Ai Engineer jobs in Alabama?

For Full Time Mid Level Ai Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Full Time Mid Level Ai Engineer jobs in Alabama look for?

The top searched job categories for Full Time Mid Level Ai Engineer jobs in Alabama are:

Full Time Mid Level Ai Engineer jobs near you
Infographic showing various Full Time Mid Level Ai Engineer job openings in Alabama as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Mid-level Software Developer

deciBel Research, Inc.

Huntsville, AL • On-site

Full-time

Re-posted 16 days ago

Job description

deciBel Research has an immediate opening for a Mid-level Software Developer in Huntsville, AL.Position Description:We are seeking a mid-level AI Software Developer (5–10 years of experience) who is passionate about applying artificial intelligence to transform complex engineering and business data into actionable insights. In this role, you'll develop intelligent analytics solutions that integrate data from engineering and enterprise tools such as Cameo Systems Modeler, Tableau, and other structured and unstructured data sources to create dynamic dashboards, visualizations, and decision-support capabilities.You'll work closely with systems engineers, software developers, data engineers, and product stakeholders to build AI-enabled solutions that improve visibility into complex programs and accelerate decision-making. We value practical innovation, technical curiosity, and engineers who enjoy solving challenging problems while delivering software that has an immediate impact.Responsibilities IncludeDesign, develop, and maintain AI-enabled applications using technologies such as Python, machine learning frameworks, APIs, and modern software engineering practices.Develop intelligent data pipelines that ingest, correlate, and analyze information from tools including Cameo Systems Modeler, Tableau, databases, and other enterprise data sources.Build AI-powered dashboards, visualizations, and interactive analytics that transform complex technical and program data into actionable insights for engineers and decision-makers.Develop retrieval, summarization, and natural language query capabilities using modern AI and Large Language Model (LLM) technologies.Create scalable data models and services that support analytics, reporting, and digital engineering initiatives.Collaborate with systems engineers, software developers, data scientists, UX designers, and product owners in an agile, cross-functional environment.Integrate AI capabilities with existing enterprise applications through REST APIs, cloud services, and modern software architectures.Participate in technical design reviews, code reviews, architecture discussions, and continuous improvement activities.Prototype innovative AI solutions and mature successful concepts into production-ready software.Stay current with emerging AI, machine learning, and data visualization technologies, applying them thoughtfully to solve real-world engineering and business challenges.Education Requirements:BS Computer Science or Computer EngineeringExperience Requirements:A degree in Computer Science or related field and some hands-on experience, personal projects, GitHub contributions, bootcamp experience, or internships.Demonstrative experience with at least one modern programming language (Python, C++, Rust)Experience with Linux operating systemBuilt at least one meaningful service/APISystem-level thinkingGit + Linux proficiencyCuriosity, problem-solving, and a willingness to experiment.Comfort working in collaborative, iterative development environments.Strong communication skills and a desire to grow.Special Skills Desired:5–10 years of software development experience with strong proficiency in Python or similar scripting languages.Experience developing applications using Large Language Models (LLMs), generative AI frameworks, or machine learning technologies.Experience integrating data from engineering, project management, or business intelligence platforms such as Cameo Systems Modeler, Tableau, databases, or similar enterprise tools.Experience building dashboards and data visualization solutions using Tableau, Power BI, Plotly Dash, Streamlit, or similar technologies.Familiarity with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.Experience developing RESTful APIs and working with structured and unstructured data.Knowledge of vector databases, Retrieval-Augmented Generation (RAG), embeddings, or semantic search is highly desirable.Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerized applications is a plus.Strong problem-solving, communication, and collaboration skills.Applicant selected must have an active Secret security clearance. Must be a U.S. Citizen.
Job Posted by ApplicantPro