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Ai Application Developer Jobs in Alabama (NOW HIRING)

Advise on technical approaches for AI application design, prototyping, integration, and evaluation ... Advise on AI engineering considerations such as latency, reliability, observability, testability ...

AI Engineer

Huntsville, AL · On-site

$130K - $160K/yr

Advise on technical approaches for AI application design, prototyping, integration, and evaluation ... Advise on AI engineering considerations such as latency, reliability, observability, testability ...

AI Engineer

Huntsville, AL · On-site

$130K - $141K/yr

AI Engineer Join our team! Be a part of our passionate and determined team on a mission to use our ... Advise on technical approaches for AI application design, prototyping, integration, and evaluation.

AI Engineer

Huntsville, AL · On-site

$130K - $141K/yr

AI Engineer Join our team! Be a part of our passionate and determined team on a mission to use our ... Advise on technical approaches for AI application design, prototyping, integration, and evaluation.

AI Engineer Join our team! Be a part of our passionate and determined team on a mission to use our ... Advise on technical approaches for AI application design, prototyping, integration, and evaluation.

AI Engineer Company Overview: KODA is a people-first company and a three-time Fortune Best ... Advise on technical approaches for AI application design, prototyping, integration, and evaluation.

Overview AI Engineer Redstone Arsenal, AL Are you ready to enhance your skills and build your ... Advise on technical approaches for AI application design, prototyping, integration, and evaluation.

Summary AI Engineer Redstone Arsenal, AL Are you ready to enhance your skills and build your career ... Advise on technical approaches for AI application design, prototyping, integration, and evaluation.

AI Engineer Company Overview: KODA is a people-first company and a three-time Fortune Best ... Advise on technical approaches for AI application design, prototyping, integration, and evaluation.

AI Engineer Company Overview: KODA is a people-first company and a three-time Fortune Best ... Advise on technical approaches for AI application design, prototyping, integration, and evaluation.

Overview AI Engineer Redstone Arsenal, AL Are you ready to enhance your skills and build your ... Advise on technical approaches for AI application design, prototyping, integration, and evaluation.

... AI application design, prototyping, integration, and evaluation. • Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt ...

AI Engineer

Huntsville, AL · On-site

$134K - $241K/yr

Advise on technical approaches for AI application design, prototyping, integration, and evaluation ... Advise on AI engineering considerations such as latency, reliability, observability, testability ...

AI Engineer

Huntsville, AL · On-site

$134K - $241K/yr

Advise on technical approaches for AI application design, prototyping, integration, and evaluation ... Advise on AI engineering considerations such as latency, reliability, observability, testability ...

Advise on technical approaches for AI application design, prototyping, integration, and evaluation ... Advise on AI engineering considerations such as latency, reliability, observability, testability ...

AI Engineer

Huntsville, AL · On-site

$134K - $241K/yr

Advise on technical approaches for AI application design, prototyping, integration, and evaluation ... Advise on AI engineering considerations such as latency, reliability, observability, testability ...

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Ai Application Developer information

See Alabama salary details

$15

$47

$76

How much do ai application developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for ai application developer in Alabama is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $38.37 and $54.90 per hour, depending on experience, location, and employer.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What is the salary of an AI developer?

The salary of an AI application developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

How much does an AI app developer make?

The average salary for an AI application developer ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI application developer or AI research director, often offering top-tier compensation due to expertise, experience, and the complexity of projects. These roles may require advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch, along with relevant certifications and a strong professional track record.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

What are the key skills and qualifications needed to thrive as an AI Application Developer, and why are they important?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI Application Developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is an AI Application Developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.
What are popular job titles related to Ai Application Developer jobs in Alabama? For Ai Application Developer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Ai Application Developer jobs in Alabama look for? The top searched job categories for Ai Application Developer jobs in Alabama are:
What cities in Alabama are hiring for Ai Application Developer jobs? Cities in Alabama with the most Ai Application Developer job openings:
Infographic showing various Ai Application Developer job openings in Alabama as of July 2026, with employment types broken down into 68% Full Time, 26% Part Time, and 6% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $99,241 per year, or $47.7 per hour.
AI ENGINEER

Full-time

Posted 15 days ago


Job description

Igniters operate in the world's most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters' hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, IC, and FBI. Ignite exists to outpace the threat and deliver results that matter in the moments that count. Ignite is currently seeking a driven, detail-oriented AI Engineer to join our team.

In this role you will get to provide technical support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows. This role is intended for a hands-on technical professional who understands how modern AI systems are built and can help develop practical solutions using large language models, agentic workflows, orchestration frameworks, and supporting software infrastructure. The right candidate is a builder at heart-someone who explores new frameworks, prototypes ideas, and continuously teaches themselves emerging techniques.

Curiosity and passion matter greatly in this role. We want someone who follows the fast-moving AI ecosystem because they genuinely enjoy it, not just because the job requires itResponsibilities include, but are not limited to: Provide SETA support to government teams developing or assessing AI-enabled applications and tools. Advise on technical approaches for AI application design, prototyping, integration, and evaluation.

Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses. Support the review of architectures, development approaches, model usage patterns, and technical risk areas. Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration.

Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases. Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders. Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation.

Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant. Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices. Job Requirements and Qualifications: Required Qualifications Masters degree in Computer Science, Engineering, Data Science, Mathematics, or related field and 12+ years of relevant experience Active Secret clearance required Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools.

Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. Experience with software development fundamentals, APIs, data handling, and system integration. Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders.

Strong written and verbal communication skills. Desired Qualifications Ability to obtain a TS SCI clearance required Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development. Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses.

Exposure to model hosting, inference pipelines, or cloud-based AI development environments. Understanding of secure AI development practices, data protection, and operational constraints in government settings. Experience supporting defense, cyber, intelligence, or mission application development.

Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies. Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems. Security Clearance Requirements: Must have an active Secret Security Clearance Education Requirements: Master's Degree in STEM DisciplineResponsibilities include, but are not limited to: Provide SETA support to government teams developing or assessing AI-enabled applications and tools.

Advise on technical approaches for AI application design, prototyping, integration, and evaluation. Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses. Support the review of architectures, development approaches, model usage patterns, and technical risk areas.

Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration. Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases. Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders.

Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation. Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant. Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices.

Job Requirements and Qualifications: Required Qualifications Masters degree in Computer Science, Engineering, Data Science, Mathematics, or related field and 12+ years of relevant experience Active Secret clearance required Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools. Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. Experience with software development fundamentals, APIs, data handling, and system integration.

Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders. Strong written and verbal communication skills. Desired Qualifications Ability to obtain a TS SCI clearance required Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development.

Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses. Exposure to model hosting, inference pipelines, or cloud-based AI development environments. Understanding of secure AI development practices, data protection, and operational constraints in government settings.

Experience supporting defense, cyber, intelligence, or mission application development. Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies. Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems.

Security Clearance Requirements: Must have an active Secret Security Clearance Education Requirements: Master's Degree in STEM Discipline