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Python Back Jobs in Washington (NOW HIRING)

... mission and back-office processes. * Implement advanced prompt engineering, function and tool ... Design and deploy scalable AI APIs using Python and FastAPI, integrated with Azure OpenAI and ...

Responsibilities : โ€ข Work within Cloud Services for the Sponsor, using Java and/or Python to ... back an understanding of the mission need described and convey how a technical solution will ...

Senior Developer

Reston, VA

$56.75 - $75/hr

We back each other up. PUNCH is a supportive place to work. We've worked hard to create an ... Write and maintain Python code for automation, integration, and data analysis. * Develop and ...

Senior Developer

Reston, VA ยท On-site +1

$56.75 - $75/hr

We back each other up. PUNCH is a supportive place to work. We've worked hard to create an ... Write and maintain Python code for automation, integration, and data analysis. * Develop and ...

Programming in Java and Python What You Must Have * Active TS/SCI with Polygraph Clearance * 4-7 ... Demonstrated experience with the ability to reflect back an understanding of the mission need ...

Programming in Java and Python What You Must Have * 4-7 years of relevant experience * Demonstrated ... Demonstrated experience with the ability to reflect back an understanding of the mission need ...

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Python Back information

Can I do backend in Python?

Yes, Python is widely used for backend development due to its simplicity and extensive libraries. Backend roles often require knowledge of frameworks like Django or Flask, database management, and API development.

Are Python still in demand in 2026?

Python developers remain in high demand in 2026 due to Python's widespread use in data analysis, machine learning, web development, and automation. Skills in frameworks like Django or Flask and proficiency with libraries such as Pandas or TensorFlow enhance job prospects for Python back-end developers.

Is Python in demand for backend?

Python is highly in demand for backend development due to its simplicity, versatility, and extensive libraries like Django and Flask. Many companies seek Python developers for building scalable, efficient server-side applications, making it a valuable skill for backend roles.

What is a Python Backend Developer?

A Python Backend Developer is a software engineer who specializes in building and maintaining the server-side logic of web applications using the Python programming language. They are responsible for creating APIs, managing databases, integrating with external services, and ensuring the overall performance and security of the backend systems. Python Backend Developers often work with frameworks like Django or Flask and collaborate with frontend developers to deliver seamless user experiences.

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

To thrive as a Python Backend Developer, you need strong programming skills in Python, a solid understanding of backend frameworks, and experience with APIs and databases, often supported by a relevant degree or certifications. Familiarity with tools like Django or Flask, RESTful API design, version control systems such as Git, and cloud platforms like AWS or Azure is typically required. Problem-solving, teamwork, and effective communication are crucial soft skills that set top performers apart. These competencies enable developers to build scalable, secure, and maintainable backend systems that meet business needs efficiently.

What jobs can I do with just Python?

With Python skills, you can work as a Python developer, data analyst, automation engineer, or backend programmer. These roles often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks such as scripting, data processing, or web development. Additional skills in databases, version control, and problem-solving enhance job prospects.

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are some common challenges Python Backend Developers face when optimizing application performance?

Python Backend Developers often encounter challenges related to optimizing application speed and scalability, especially when handling large volumes of data or high user traffic. Issues such as inefficient database queries, memory leaks, and suboptimal code structures can impact performance. Developers typically address these by profiling code, implementing caching strategies, and leveraging asynchronous programming where appropriate. Collaborating with DevOps teams to monitor performance metrics and employing tools like Redis, Celery, or load balancers also play a significant role in overcoming these challenges.
What job categories do people searching Python Back jobs in Washington look for? The top searched job categories for Python Back jobs in Washington are:
What cities in Washington are hiring for Python Back jobs? Cities in Washington with the most Python Back job openings:
Infographic showing various Python Back job openings in Washington as of June 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 61% Full Time, 33% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.
AI / ML Developer

AI / ML Developer

HYERTEK INC

Rockville, MD โ€ข On-site

Other

Posted 9 days ago


Job description

Description

HyerTek is seeking an experienced and passionate AI Developer to provide technical direction and leadership in the architecture, design, development, and delivery of modern AI solutions for our government clients. This role centers on building production-ready, AI-focused applications that extend Microsoft solutions, leverage frontier models via Microsoft Foundry, and align with the Department of War's enterprise generative AI platform, GenAI.mil. Our AI solutions focus on making the mission workforce more informed, effective, and engaged through intelligent automation, agentic workflows, and enhanced decision-making.


Qualified candidates will combine deep knowledge of large language models and prompt engineering with strong architectural skills for scalable, secure AI systems in regulated government environments. We place particular emphasis on building governed LLM applications for the science, defense, and broader government domains, using OpenAI, Gemini, and Anthropic models delivered through Azure and integrated into Microsoft 365, Copilot, and the Power Platform. We value depth across the areas below and expect candidates to demonstrate experience in a meaningful subset of them.


Key Responsibilities

  • Architect and develop large language model applications using OpenAI GPT, Google Gemini, and Anthropic Claude models served through Microsoft Foundry, with a clear understanding of how to select and route between frontier models for a given mission workload.
  • Design and build solutions that align with and extend GenAI.mil, the Department of War's enterprise generative AI platform, including agentic workflows and use cases certified for Controlled Unclassified Information and Impact Level 5 environments.
  • Design and implement Retrieval-Augmented Generation systems using Microsoft-native components, including Azure AI Search for vector and semantic retrieval, document processing pipelines, and grounding strategies that reduce hallucination on authoritative mission data.
  • Build and customize Microsoft Copilot integrations, including Copilot Studio agents, declarative and custom copilots, and extensions developed with Semantic Kernel.
  • Develop AI orchestration and multi-step agent workflows on the Microsoft stack, integrating frontier models with Microsoft 365, Dataverse, and the Power Platform to automate complex mission and back-office processes.
  • Implement advanced prompt engineering, function and tool calling, and AI agent architectures for intelligent automation, with attention to evaluation, observability, and governance.
  • Design and deploy scalable AI APIs using Python and FastAPI, integrated with Azure OpenAI and Microsoft Foundry model endpoints, and packaged for deployment into GCC High and other accredited cloud environments.
  • Collaborate with data and mission subject-matter experts to tune retrieval, optimize prompts and context strategies, and continuously improve AI system performance against mission outcomes.
  • Take part in the Agile process and collaborate effectively within cross-functional AI delivery teams.
  • Build strong internal relationships, mentor others, and evangelize AI best practices, responsible AI guardrails, and emerging capabilities across customer organizations and internally.
  • Interpret client requirements and recommend optimal AI solutions, model selection, and implementation strategies for the Microsoft and GenAI.mil ecosystem.
  • Support full-lifecycle AI delivery from requirements gathering through deployment, accreditation support, and maintenance.

Requirements

Must be a U.S. citizen.

  • Must be able to obtain DoD security clearance (Secret or Above).
  • Bachelor's degree in Computer Science, Data Science, AI/ML, or equivalent work experience.
  • 5+ years of software development experience, with 2+ years focused on AI/ML applications and LLM integration.
  • Hands-on experience building applications with frontier large language models, specifically OpenAI GPT and Anthropic Claude, including an understanding of model selection and routing across providers.
  • Strong experience building Retrieval-Augmented Generation systems and semantic search applications.
  • Proficiency with vector and semantic retrieval using Azure AI Search, including embedding storage, indexing, and hybrid search.
  • Advanced prompt engineering skills with hands-on experience in function and tool calling and AI agent development.
  • Experience building AI orchestration and multi-step agent workflows, particularly with Semantic Kernel and Microsoft Foundry agent tooling.
  • Strong Python programming skills, with experience building AI APIs using FastAPI.
  • Experience with Microsoft Copilot Studio, Semantic Kernel, and custom or declarative copilot development.
  • Hands-on experience with cloud AI services, specifically Azure OpenAI and Microsoft Foundry model endpoints.
  • Proficiency with a modern frontend framework (React preferred) for AI application user interfaces, including those embedded in Microsoft and Power Platform experiences.
  • Experience with containerization (Docker) and orchestration (Kubernetes / Azure Kubernetes Service) for AI service deployment in accredited environments.
  • Working knowledge of embedding models, transformer architectures, and fine-tuning techniques.
  • Understanding of AI safety, responsible AI practices, and bias mitigation, with the ability to apply mission-grade guardrails consistent with Department of Defense standards.
  • Experience with version control, CI/CD pipelines (Azure DevOps or GitHub), and MLOps practices for AI system deployment.
  • Strong understanding of data preprocessing, document chunking, and knowledge management for RAG systems.
  • Familiarity with Agile development methodologies and experience working in collaborative AI delivery teams.

Preferred Qualifications (not required, but a plus)

  • Familiarity with developing solutions in the context of GenAI.mil
  • Experience delivering on Microsoft Power Platform and Dataverse, and integrating AI capabilities into Microsoft 365 and Power Apps.
  • Hands-on experience in GCC High or other accredited government cloud environments.
  • Experience with AI orchestration frameworks such as LangChain or LlamaIndex.
  • Experience with open-source LLMs such as Llama, Mistral, or Falcon, and local or self-hosted model deployment.
  • Knowledge of model fine-tuning techniques, including LoRA, QLoRA, and PEFT methods.
  • Experience with multimodal AI applications combining text, image, and audio.
  • Familiarity with AI governance frameworks and compliance requirements for government applications.
  • Experience with the Hugging Face ecosystem, model deployment, and custom model training.
  • Knowledge of graph databases (such as Neo4j) for knowledge-graph applications.
  • Microsoft Azure AI certifications (for example, Azure AI Engineer Associate) or comparable cloud AI credentials.
  • Experience with real-time AI systems and streaming data processing.
  • Background in natural language processing, computer vision, or speech recognition.

Equal Opportunity Employer

HyerTek is an Equal Opportunity Employer. All employment decisions will be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.