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Junior Fastapi Developer Jobs in Washington, DC (NOW HIRING)

Steampunk

Senior LLMOps Engineer

Mclean, VA · On-site

$145K - $185K/yr

Mentor junior engineers and contribute to Steampunk's AI engineering best practices, tooling, and ... Proficiency in Python and operational tooling such as FastAPI, PyTorch, LangChain, LlamaIndex, and ...

Steampunk

Senior LLMOps Engineer

Mclean, VA · On-site

$145K - $185K/yr

Mentor junior engineers and contribute to Steampunk's AI engineering best practices, tooling, and ... Proficiency in Python and operational tooling such as FastAPI, PyTorch, LangChain, LlamaIndex, and ...

Cmu

AI Engineer - Mission Innovation Lab

Arlington, VA · On-site

Work closely with senior ML engineers, software developers, and government customers; mentor junior ... Deploying LLM APIs (FastAPI,gRPC) at scale, handlinglatencyand load balancing. * Building multitool ...

IntelliGenesis LLC

Software Engineer Level 3

Annapolis, MD · On-site

$125K - $238K/yr

Act as a source of technical knowledge for more junior engineers * Interact directly with the ... Python (including Flask/Django/FastAPI) * Java (especially Spring Boot or Drop Wizard) * HTML/CSS ...

Comcast

Sr. Python Engineer, Agentic AI

Washington, DC · On-site

$168K - $252K/yr

You will serve as a technical anchor for the team--mentoring junior engineers, setting engineering ... FastAPI, asyncio) and distributed service architectures. Production Experience at Scale A track ...

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Junior Fastapi Developer information

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$27.2K

$100.8K

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How much do junior fastapi developer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for junior fastapi developer in Washington, DC is $100,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $98,500.00 per year, depending on experience, location, and employer.

What is a Junior FastAPI Developer?

Junior FastAPI Developers are entry-level software engineers who specialize in building web applications and APIs using FastAPI, a modern Python web framework. They are responsible for writing, testing, and maintaining backend code, often under the guidance of more experienced developers. Their tasks typically include developing RESTful APIs, integrating databases, and ensuring application performance and security. Junior FastAPI Developers usually have a basic understanding of Python, web technologies, and REST principles. They play an important role in supporting projects, learning best practices, and growing their technical skills.

What are the key skills and qualifications needed to thrive as a Junior FastAPI Developer?

To thrive as a Junior FastAPI Developer, you need foundational knowledge of Python programming, RESTful API concepts, and experience working with FastAPI frameworks, supported by a relevant degree or coding bootcamp. Familiarity with Git for version control, SQL or NoSQL databases, and containerization tools like Docker is typically expected. Strong problem-solving skills, eagerness to learn, and effective communication make candidates stand out in collaborative development environments. These competencies ensure efficient, high-quality API development and seamless teamwork in agile software projects.

What are some typical challenges a Junior FastAPI Developer may face when joining a new team?

As a Junior FastAPI Developer, you may encounter challenges such as adapting to established codebases, understanding the team's API design patterns, and ensuring your code aligns with both FastAPI best practices and your organization's standards. Collaborating closely with senior developers and participating in code reviews can help accelerate your learning process. Additionally, you may need to quickly familiarize yourself with related tools such as Docker, Git, and testing frameworks, as well as the team's workflow for deploying and maintaining APIs in production environments.

What is the difference between Junior Fastapi Developer vs Junior Python Developer?

AspectJunior Fastapi DeveloperJunior Python Developer
Required CredentialsBasic Python knowledge, familiarity with FastapiBasic Python knowledge, possibly some frameworks
Work EnvironmentWeb backend development, API creationGeneral software development, scripting
Employer & Industry UsageTech companies, startups, web servicesBroad industry, including data analysis, automation
Common Search & ComparisonYesYes

The main difference is that a Junior Fastapi Developer specializes in building APIs using Fastapi, while a Junior Python Developer has broader Python programming skills without specific focus on web APIs. Fastapi developers typically work in web backend environments, whereas Python developers may work across various domains.

What are the most commonly searched types of Fastapi Developer jobs in Washington, DC?

The most popular types of Fastapi Developer jobs in Washington, DC are:

What are popular job titles related to Junior Fastapi Developer jobs in Washington, DC?

For Junior Fastapi Developer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Junior Fastapi Developer jobs in Washington, DC look for?

The top searched job categories for Junior Fastapi Developer jobs in Washington, DC are:

Junior Fastapi Developer jobs near you

Senior LLMOps Engineer

Steampunk

Mclean, VA • On-site

$145K - $185K/yr

Other

Posted 12 days ago

Job description

Overview
We are looking for an experienced Senior LLMOps Engineer to design, implement, and maintain production-grade large-language-model (LLM) pipelines, deployment architectures, and monitoring systems across enterprise environments. The Senior LLMOps Engineer will play a critical role in operationalizing generative AI capabilities, ensuring that LLM-based applications are scalable, secure, reliable, and compliant with emerging AI risk and governance frameworks. This role spans the spectrum of model deployment, orchestration, evaluation, and optimization.
Contributions
  • Architect and maintain scalable LLM and RAG pipelines, including model hosting, inference optimization, retrieval layers, and context management frameworks.
  • Lead the design and implementation of secure GenAI infrastructure across cloud environments, ensuring reliability, performance, and cost efficiency.
  • Build and manage automated evaluation systems that assess LLM output quality, safety, latency, and adherence to AI governance requirements.
  • Develop CI/CD workflows tailored for LLM- and GenAI-based applications, including dataset versioning, model lineage, and automated testing of prompt and model behaviors.
  • Collaborate with AI Product Engineers and Data Scientists to productionize LLM-based prototypes into enterprise-grade, maintainable systems.
  • Integrate vector databases, model gateways, content filters, and guardrail frameworks into end-to-end LLM solutions.
  • Implement observability and monitoring solutions that track performance metrics, hallucination rates, cost profiles, and user interaction patterns.
  • Lead troubleshooting and root-cause analysis for issues related to LLM deployment, inference performance, or pipeline reliability.
  • Stay current with emerging LLM architectures, inference optimizations, fine-tuning techniques, and relevant MLSecOps patterns.
  • Ensure compliance with data privacy, ethical AI, and AI-governance frameworks throughout pipeline design and operations.
  • Mentor junior engineers and contribute to Steampunk's AI engineering best practices, tooling, and reusable infrastructure patterns.
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the U.S. government.
  • Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, Data Engineering, or a related field.
  • 5+ years of experience in software engineering, data engineering, MLOps, or cloud engineering, with 2+ years focusing specifically on LLM or GenAI operations.
  • Strong experience deploying models using frameworks such as Hugging Face Transformers, vLLM, TensorRT-LLM, or similar.
  • Proficiency in Python and operational tooling such as FastAPI, PyTorch, LangChain, LlamaIndex, and vector databases (FAISS, Milvus, Pinecone, or similar).
  • Advanced knowledge of cloud platforms (AWS, Azure, GCP) including model hosting, distributed compute, and secure networking patterns.
  • Hands-on experience building CI/CD pipelines, automated testing frameworks, and environment provisioning for AI/ML workloads.
  • Experience with Docker, Kubernetes, and infrastructure-as-code (Terraform, CloudFormation).
  • Familiarity with MLSecOps, AI governance, model hardening, prompt injection defenses, and content safety monitoring.
  • Strong understanding of logging, observability, and performance profiling for high-throughput LLM inference systems.
  • Excellent written and verbal communication skills, with the ability to explain trade-offs and architectural decisions to technical and non-technical stakeholders.
  • Demonstrated ability to balance long-term platform thinking with hands-on operations and rapid problem solving.
  • Experience working in agile teams and using modern project management tools.

Preferred:
  • Experience building and maintaining classical ML pipelines, including feature engineering, model training, and automated retraining workflows.
  • Familiarity with ML experiment tracking and model versioning tools such as MLflow or Weights & Biases.
  • Familiarity with batch and streaming data pipeline orchestration (Airflow or similar) supporting model training workflows.
  • Experience supporting the full ML lifecycle, from data ingestion through model deployment, for classification, regression, or recommendation systems.

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $145,000 to $185,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

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