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Remote Fastapi Developer Jobs in Maryland (NOW HIRING)

Remote Fastapi Developer information

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

To excel as a Remote FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with the FastAPI framework, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Docker, Git, SQL/NoSQL databases, and cloud platforms like AWS or Azure is highly valued, and certifications in cloud or backend development can be advantageous. Excellent problem-solving, self-management, and communication skills are crucial for collaborating effectively in a remote environment. These skills ensure you can deliver robust, scalable APIs while efficiently working with distributed teams.

What are some common challenges Remote FastAPI Developers face when collaborating with distributed teams?

Remote FastAPI Developers frequently work with colleagues across different time zones and communication styles, which can make real-time collaboration and code reviews more challenging. Staying aligned on project requirements, API design standards, and deployment schedules often requires proactive communication and thorough documentation. Using tools like version control, issue trackers, and asynchronous messaging helps bridge these gaps, but developers must be disciplined about keeping everyone updated and clarifying technical decisions. Building strong remote working habits and establishing clear processes with your team can greatly improve collaboration and project outcomes.

What is a Remote FastAPI Developer?

A Remote FastAPI Developer is a software engineer who specializes in building web APIs using the FastAPI framework, while working remotely from any location. FastAPI is a modern, high-performance Python web framework used to create APIs quickly and efficiently. Remote FastAPI Developers design, implement, and maintain backend services, typically collaborating with distributed teams through online communication and project management tools. Their responsibilities often include writing clean, scalable code, integrating databases, and ensuring API security and performance.
What are the most commonly searched types of Fastapi Developer jobs in Maryland? The most popular types of Fastapi Developer jobs in Maryland are:
What job categories do people searching Remote Fastapi Developer jobs in Maryland look for? The top searched job categories for Remote Fastapi Developer jobs in Maryland are:
What cities in Maryland are hiring for Remote Fastapi Developer jobs? Cities in Maryland with the most Remote Fastapi Developer job openings:
Senior AI Engineer - Professional Services

Senior AI Engineer - Professional Services

DataRobot

California, MD • Remote

$165K - $225K/yr

Full-time

Medical, Dental, Vision

Posted 4 days ago


Job description

Job Description:

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.

As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value.

This is a unique opportunity to design, build, and deploy a wide range of applications-from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you.

This is a fully remote position with no requirement to go into an office on a regular basis. There will be travel requirements associated with this position to visit clients onsite up to 25% - 50% of the time.

Key Responsibilities:

  • Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.

  • Build & Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:

  • Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index

  • Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.

  • Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.

  • Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.

  • Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.

  • Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.

Knowledge, Skills and Abilities:

AI & Machine Learning Expertise:

  • Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).

  • Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,

  • Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.

Application Development & Operations:

  • Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.

  • Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).

  • Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.

  • Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.

  • Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.

Requisite Education and Experience / Minimum Qualifications:

  • Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production.

  • Education: A Master's Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.

  • Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP).

  • DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus.

  • MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.

Compensation Statement

The U.S. annual on-target earnings (OTE) range for this full-time position is between $165,000 and $225,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education.

The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot Operating Principles:

  • Wow Our Customers
  • Set High Standards
  • Be Better Than Yesterday
  • Be Rigorous
  • Assume Positive Intent
  • Have the Tough Conversations
  • Be Better Together
  • Debate, Decide, Commit
  • Deliver Results
  • Overcommunicate


Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit.

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

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