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Remote Python Llm Jobs in Washington, DC (NOW HIRING)

Eliassen Group

ETL Data Engineer

Tysons, VA · Remote

$70 - $88/hr

Description: Hybrid 3 days onsite / 2 days remote in Mclean, VA Our client seeks an ETL Data ... The role spans Spark-based ETL on AWS data lake platforms and development of LLM-powered agents ...

ID.me

Fraud Investigations Analyst

Mclean, VA · On-site +1

Certain roles -- such as field-based sales or other remote-by-design positions -- may have ... Use SQL, Python, or similar tools to query datasets and support investigations * Leverage fraud ...

ID.me

Senior Fraud Investigations Analyst

Mclean, VA · On-site +1

Certain roles -- such as field-based sales or other remote-by-design positions -- may have ... Analyze large datasets using SQL, Python, or similar tools to identify trends, anomalies, and ...

GRVTY

Data Scientist - Cleared

Chantilly, VA · On-site +1

... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ... Design, develop, and maintain Python-based data processing pipelines and workflow orchestration ...

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Remote Python Llm information

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How much do remote python llm jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote python llm in Washington, DC is $66.39, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $75.43 per hour, depending on experience, location, and employer.

What remote jobs can you get with Python?

Remote Python jobs include roles such as software developer, data analyst, machine learning engineer, and automation engineer. These positions often require proficiency in Python programming, familiarity with frameworks like Django or Flask, and experience with cloud platforms or version control tools. Many of these jobs offer flexible schedules and can be performed from any location with internet access.

Will AI replace Python devs?

Remote Python developers are unlikely to be fully replaced by AI, as their role involves complex problem-solving, coding, and adapting to new requirements that AI tools currently cannot fully replicate. AI can assist by automating repetitive tasks and improving productivity, but human oversight and expertise remain essential for software development. Staying updated with new tools and skills can help Python developers remain valuable in an evolving tech environment.

What is a Remote Python LLM job?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are some common collaboration methods used by Remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

Is Python used in LLM?

Yes, Python is widely used in developing large language models (LLMs) and is a key skill for remote Python LLM roles. It provides extensive libraries and frameworks such as TensorFlow and PyTorch that facilitate model training, fine-tuning, and deployment.

What are the key skills and qualifications needed to thrive as a Remote Python LLM Engineer, and why are they important?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

Which LLM is good for Python coding?

For a Remote Python Llm role, models like OpenAI's GPT-4 and GPT-3.4 are widely used for Python coding due to their strong language understanding and code generation capabilities. Additionally, open-source models such as Meta's Llama 2 and EleutherAI's GPT-NeoX can be fine-tuned for specific coding tasks, making them suitable options for development environments requiring customization. Proficiency in integrating these models with APIs and understanding their limitations is essential for effective Python coding assistance.
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Remote Python Llm jobs near you
Director of Analytics Engineering

Director of Analytics Engineering

Ennoble Care

Arlington, VA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Ennoble Care rating

4.2

Company rating: 4.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

About Us

Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today!

ABOUT THE ROLE

We're hiring a hands-on technical leader to strengthen and expand Ennoble's ACO analytics data infrastructure. You'll own the design of a unified data platform integrating our Medicare claims feeds (DPC, CCLF, BCDA), CMS alignment and benchmark files, in-house clinical systems, and external vendor data into a single, accurate, queryable layer. We expect this person to bring engineering rigor and AI-augmented practices to our team.

This candidate will be our internal thought-leader on AI-augmented data engineering: LLM coding assistants, automated QA, autonomous data-quality agents, intelligent cross-source reconciliation, MCP servers as needed, and conversational query layers. This candidate will lead our large-scale analytics platform and web app rollout as the team's analytical foundation. Individual contributor today, with a clear path to building and leading an engineering team as scope grows.

WHAT YOU'LL DO

  • Strengthen and expand our analytics data warehouse infrastructure
  • Lead AI-augmented engineering adoption: codify patterns for LLM coding assistants (e.g., Claude Code under BAA), agentic QA, autonomous data-quality monitoring agents, and conversational query layers
  • Own data accuracy and reconciliation — build validation, monitoring, and audit infrastructure that catches issues before they reach reporting or CMS submissions — extending our ~158-object audit and observability framework (ADF run logging, MBI crosswalk QA, DPC parity harness, transactional refresh with auto-rollback)
  • Partner with analytics leads (MSSP, ACO REACH/LEAD, GUIDE, Quality, Dashboards) to ensure infrastructure meets internal and external reporting requirements and advanced downstream modeling needs
  • Lead large-scale analytics platform and web app implementation, integration, and maintenance
  • Collaborate closely with IT and Engineering on tooling standards, organizational approvals, and security requirements (BAA scope, Microsoft Entra identity scoping, PHI/PII suppression, Azure SQL firewall)

WHAT WE'RE LOOKING FOR

  • Data engineering depth: Strong hands-on experience with cloud-based analytics infrastructure and production data pipelines
  • Platform: Microsoft Azure — incl. Azure SQL, Azure Data Factory, Azure DevOps, GitHub, Azure Blob Storage, Azure Databricks experience a strong plus
  • SQL & Python: Expert T-SQL; Python proficient for ingestion utilities, internal web apps, and AI-agent tooling
  • Data modeling: Experience designing unified/canonical models across heterogeneous source systems
  • Data integrity: Demonstrated validation, reconciliation, and audit framework design — especially where discrepancies have material downstream impact
  • Healthcare data: Familiarity with Medicare claims (CCLF, DPC, BCDA or similar) and/or risk-based contracting strongly preferred
  • AI fluency: Track record using LLM-based tools (e.g., Claude Code, Copilot) to accelerate data engineering; comfortable as a visible thought-leader on AI practices for a small team
  • DevOps: Experience integrating pipelines with CI/CD, version control, branching strategies (dev → test → prod), DACPAC or equivalent schema-migration tooling, and managed-identity-based deployment
  • Communication: Able to translate infrastructure decisions and engineering workflows into business impact for non-technical stakeholders

CURRENT SCALE

  • ~40,000 attributed patients across MSSP, ACO REACH, GUIDE, and LEAD
    • Various alignment, benchmark, and claim files spanning CMS/CMMI programs across multiple ACOs
  • Three distinct Medicare claim feeds (DPC, CCLF, BCDA), each with its unique schema, inconsistencies, and challenges
  • Internal clinical/operational data systems and structures
  • External vendor data feeds, with planned data source expansion as Ennoble Care's ACO portfolio grows
  • Existing data engineering foundation to continue building upon

WHAT WE OFFER

  • Foundational technical leadership at one of the nation's fastest-growing home-based care providers
  • A working analytics stack to build on — production pipelines, active models, and a team already shipping
  • Mission-driven culture focused on improving outcomes for homebound Medicare patients

Full-time employees qualify for the following benefits:

  • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.
  • Paid Time Off
  • Paid Office Holidays

All employees qualify for these benefits:

  • Paid Sick Time
  • 401(k) with up to 3% company match
  • Referral Program
  • Payactiv: pay-on-demand. Cash out earned money when and where you need it!

Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.

Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

What Ennoble Care employees say

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