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Full Stack Ai Engineer Jobs in Baltimore, MD (NOW HIRING)

Tria Federal is assembling a small team of highly capable Full-Stack Engineers to design and build AI-enabled helpdesks and contact centers to solve real-world problems for federal missions. This ...

GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer ...

GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer ...

Tria Federal is assembling a small team of highly capable Full-Stack Engineers to design and build AI-enabled helpdesks and contact centers to solve real-world problems for federal missions. This ...

GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer ...

Overview BigBear.ai is seeking a Full Stack Software Engineer to help build the next generation of AI infrastructure that will drive innovation across the customer organization. In this role, you ...

Overview BigBear.ai is seeking a Full Stack Software Engineer to help build the next generation of AI infrastructure that will drive innovation across the customer organization. In this role, you ...

Showing results 21-40

Full Stack Ai Engineer information

See Baltimore, MD salary details

$44.2K

$133.9K

$189.3K

How much do full stack ai engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for full stack ai engineer in Baltimore, MD is $133,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

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

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What job categories do people searching Full Stack Ai Engineer jobs in Baltimore, MD look for?

The top searched job categories for Full Stack Ai Engineer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Full Stack Ai Engineer jobs?

Cities near Baltimore, MD with the most Full Stack Ai Engineer job openings:

Infographic showing various Full Stack Ai Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $133,900 per year, or $64.4 per hour.

Full Stack Software Engineer II

Deloitte

Baltimore, MD

Full-time

Re-posted 14 hours ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

Our AI & Engineering team helps transform technology platforms, drive innovation, and deliver meaningful impact for clients. In this role, you will work with professionals who are reimagining and reengineering business-critical operations and processes. Your contributions can help clients improve financial performance, launch new digital ventures, and fuel growth through innovation.

Work you'll do

As a Software Engineer II on the Engineering as a Service team, you will be responsible for:

  • Assist development teams in delivering technical solutions using software development life cycle methodologies, including Scrum and Agile
  • Design, develop, and enhance software systems and custom components using modern development tools and frameworks
  • Analyze user requirements, system flows, data usage, and performance standards to define technical designs and identify problem areas
  • Integrate existing software into new or modified systems and develop and execute test procedures for software components
  • Plan, track, and manage deliverables across short-term sprints and long-term software deployments

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, & deliver complex programs with a product engineering mindset. Our flexible delivery models- traditional teams, pools, or pods, are tailored for each client's needs, offering engineering-led Advise, Implement, & Operate capabilities to accelerate innovation.

Qualifications

Required:

  • Bachelor's degree, preferably in Computer Science, Engineering, or Management Information Systems
  • 2+ years of full-stack software development experience 
  • 2+ years of experience with Modern Full Stack languages (Java, Python, React, Angular, etc.)
  • Experience orchestrating in cloud and/or serverless environments
  • Experience with Relational and Non-relational DBs (Postgres, SQL, MongoDB, DynamoDB, etc.)
  • Ability to travel 15%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with Gen AI, Agentic AI, ML/NLP environments and tools
  • Major Cloud provider certifications (AWS, Azure, GCP, OCI)
  • AI related certifications (Anthropic, Github, etc.)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $170,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

Our AI & Engineering team helps transform technology platforms, drive innovation, and deliver meaningful impact for clients. In this role, you will work with professionals who are reimagining and reengineering business-critical operations and processes. Your contributions can help clients improve financial performance, launch new digital ventures, and fuel growth through innovation.

Work you'll do

As a Software Engineer II on the Engineering as a Service team, you will be responsible for:

  • Assist development teams in delivering technical solutions using software development life cycle methodologies, including Scrum and Agile
  • Design, develop, and enhance software systems and custom components using modern development tools and frameworks
  • Analyze user requirements, system flows, data usage, and performance standards to define technical designs and identify problem areas
  • Integrate existing software into new or modified systems and develop and execute test procedures for software components
  • Plan, track, and manage deliverables across short-term sprints and long-term software deployments

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, & deliver complex programs with a product engineering mindset. Our flexible delivery models- traditional teams, pools, or pods, are tailored for each client's needs, offering engineering-led Advise, Implement, & Operate capabilities to accelerate innovation.

Qualifications

Required:

  • Bachelor's degree, preferably in Computer Science, Engineering, or Management Information Systems
  • 2+ years of full-stack software development experience 
  • 2+ years of experience with Modern Full Stack languages (Java, Python, React, Angular, etc.)
  • Experience orchestrating in cloud and/or serverless environments
  • Experience with Relational and Non-relational DBs (Postgres, SQL, MongoDB, DynamoDB, etc.)
  • Ability to travel 15%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with Gen AI, Agentic AI, ML/NLP environments and tools
  • Major Cloud provider certifications (AWS, Azure, GCP, OCI)
  • AI related certifications (Anthropic, Github, etc.)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $170,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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