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Generative Ai Developer information

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$97

How much do generative ai developer jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for generative ai developer in Maryland is $43.95, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $53.17 per hour, depending on experience, location, and employer.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Maryland? For Generative Ai Developer jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Maryland look for? The top searched job categories for Generative Ai Developer jobs in Maryland are:
What cities in Maryland are hiring for Generative Ai Developer jobs? Cities in Maryland with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Maryland as of July 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $91,424 per year, or $44 per hour.

AI Developer / Full Stack Developer Associate

LCG Inc

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

Job title: Full Stack Developer / AI Developer, Associate
Location: Bethesda, MD
Clearance: Public Trust
Sponsorship: No sponsorship assistance is available for this position.
Duration: July 2026 - December 2026
Hybrid: Minimum of 2 Days Onsite (May increase as Client needs may increase)
Job Overview: LCG is seeking a Full Stack Developer / AI Engineer - Associate to support our NIH client in developing innovative AI-powered solutions using Azure OpenAI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern full stack technologies.
This role will support an NIH client that aims to design and implement AI-driven applications that automate and enhance internal NIH business processes. The developer will design and build Generative AI applications, chatbots, and intelligent automation tools to support use cases such as compliance review, policy analysis, meeting scheduling, grant monitoring, and research reporting.
The successful candidate will support configuration and assist with optimizing secure Azure OpenAI cloud infrastructure, design LLM-integrated applications using Python-based APIs, and enhance the existing client AI Chat Tool to improve knowledge retrieval and operational efficiency. The role involves building React-based front-end interfaces, developing FastAPI services for AI integration, and implementing vector databases to support semantic search and RAG pipelines.
This role will work closely with client leadership, technical teams, and pilot users to prototype, deploy, and refine AI capabilities while ensuring alignment with federal IT security, governance, and change management processes.
This position offers an opportunity to contribute to cutting-edge AI modernization initiatives at NIH, helping federal programs leverage Generative AI technologies to improve efficiency, decision-making, and operational insights.
Key Responsibilities
AI Solutions Development
  • Develop and implement AI-powered applications using Azure OpenAI, LLM technologies, Retrieval-Augmented Generation (RAG) pipelines, and vector database architectures
  • Design and build Generative AI applications, intelligent agents, and chatbot solutions that automate internal business processes and support staff workflows.
  • Implement semantic search and document retrieval systems using vector databases to support AI-driven knowledge retrieval.
  • Enhance and maintain the existing client AI Chat Tool, improving user experience and response accuracy through AI technologies.
  • Develop intelligent Generative AI applications supporting use cases such as:
    • Compliance verification for new policies and funding opportunities
    • Compliance verification for new policies and funding opportunities
    • Policy and regulatory change analysis
    • AI-driven meeting scheduling and coordination
    • Monitoring of grant and clinical trial activities
    • Knowledge retrieval from internal documentation and SOP repositories

Cloud Engineering and AI Infrastructure
  • Support the configuration and enhancement of secure Azure cloud infrastructure used to host AI applications and services, including:
    • Azure OpenAI services
    • Azure Storage accounts
    • Azure Applications and Database services
  • Assist cloud and infrastructure teams with deploying AI-powered applications that leverage vector databases and RAG architectures.
  • Work within the existing Azure OpenAI environment to integrate AI services and ensure applications function effectively within the client's cloud infrastructure.
  • Collaborate with cloud engineering and security teams to ensure AI solutions align with NIH cloud governance, security policies, and infrastructure standards.
  • Assist with documenting AI solution architecture and implementation components.

Full Stack Development and Integration
  • Develop full stack AI applications using React for front-end interfaces and Python-based APIs for backend services.
  • Build RESTful APIs and AI service endpoints using FastAPI to connect LLM services with enterprise applications.
  • Support development of RAG pipeline components integrating vector databases with enterprise data sources.
  • Assist in developing LLM-integrated applications and APIs that connect AI services with enterprise systems.
  • Implement data pipelines and integrations using SQL, NoSQL, and vector databases as well as external APIs.
  • Develop backend and automation services using Python, FastAPI, and modern API frameworks.
  • Utilize GitHub for version control, code collaboration, and maintaining source code repositories across development environments.

AI Use Case Development and Pilot Implementation
  • Collaborate with stakeholders to define, prototype, test, and deploy AI use cases
  • Work with client staff to assess automation opportunities and evaluate operational efficiency improvements
  • Support analysis of automation opportunities and document potential efficiency improvements
  • Assist with analyzing and documenting cloud resource usage and cost considerations for AI deployments.
  • Leverage Microsoft Power Automate to support workflow automation and integrate AI-powered processes into existing business applications.
  • Utilize Power BI to develop dashboards and reports that visualize application performance, usage metrics, operational insights for stakeholders.
  • Prepare and complete status reports, providing updates on development progress, milestones, risks, and pilot outcomes to client leadership and stakeholders.

Testing, Documentation, and Testing
  • Conduct User Acceptance Testing (UAT) with pilot users and incorporate feedback into system improvements.
  • Develop technical documentation, including:
  • Requirements documentation
  • Architecture and design documents
  • Testing plans and implementation strategies
  • Standard operating procedures (SOPs)
  • Create a fact sheets for Generative AI applications developed, summarizing functionality, key features, use cases, and benefit for stakeholders and end users.
  • Develop training materials and recorded training sessions to support user adoption.

Qualifications
Education - Bachelor's degree from an accredited institution in related fields (Computer Science, Information Technology, Engineering, Mathematics, Data Science, Artificial Intelligence, etc)
Experience
Required:
  • Minimum 2 years of experience applying AI or machine learning to real-world technology solutions.
  • Minimum 2 years of experience working with Microsoft Azure Cloud and Azure OpenAI services.
  • Experience designing and implementing AI-powered applications using LLMs or Generative AI technologies.
  • Experience developing RAG pipelines, AI chatbots, or intelligent automation tools.
  • Strong programming skills in Python, with experience developing APIs using FastAPI or similar frameworks.
  • Experience building modern front-end interfaces using React or similar JavaScript frameworks.
  • Experience working with vector databases (Azure Databases) to support semantic search or AI retrieval workflows.
  • Experience with data engineering technologies including SQL, NoSQL, and API integrations.
  • Experience using GitHub for source code management, version control, pull requests, and collaborative development workflows.

Preferred:
  • Experience integrating LLM-based systems with enterprise applications and APIs.
  • Experience supporting federal IT environments (NIH or HHS preferred) (nice to have)
  • Experience implementing secure AI architectures in cloud environments.

  • Microsoft Azure AI Engineer Associate
  • Microsoft Azure Developer Associate
  • Microsoft Azure Fundamentals (AZ-900)
  • ITIL 4
  • AI / Machine Learning certification
  • Cloud architecture or DevOps certification

Required Skills and Competencies
  • Strong analytical thinking and problem-solving abilities
  • Ability to translate complex technical concepts to non-technical stakeholders
  • Excellent written and verbal communication skills
  • Ability to manage multiple priorities in a fast-paced environment
  • High attention to detail and commitment to quality
  • Work independently,

Compensation and Benefits
The projected compensation range for this position is $90,000 to $110,000 per year benchmarked in the Washington, D.C. metropolitan area. The salary range provided is a good faith estimate representative of all experience levels. Salary at LCG is determined by various factors, including but not limited to role, location, the combination of education/training, knowledge, skills, competencies, certifications, and work experience.
LCG offers a competitive, comprehensive benefits package which includes health insurance options (medical, dental, vision), life and disability insurance, retirement plan contributions, as well as paid leave, federal holidays, professional development, and lifestyle benefits.
Devoted to Fair and Inclusive Practices
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.
If you are interested in applying for employment with LCG and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department by email at .
Securing Your Data
Beware of fraudulent job offers using LCG's name. LCG will never request payment-related details or advancement of money during the application process. Legitimate communication will only come from lcginc.com or emails, not free commercial services like Gmail or WhatsApp. If you receive suspicious emails asking for payment or personal information, contact us immediately at .
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the .
Use of Artificial Intelligence in Recruiting
LCG may use artificial intelligence (AI) and other automated technologies to support portions of the recruiting and hiring process, including resume review, candidate matching, interview scheduling, skills assessment, and other administrative functions. AI-assisted tools are used solely to support our hiring process and do not independently determine employment outcomes. Final hiring decisions are made by trained hiring professionals following a comprehensive review of each candidate's qualifications. We are committed to equal employment opportunity and strive to ensure our hiring practices are fair, transparent, and compliant with applicable laws. Applicants needing a reasonable accommodation during the application or interview process should contact Human Resources.

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