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Remote Python Llm Jobs in Maryland (NOW HIRING)

Agentic AI Engineer

Annapolis, MD · On-site +1

$99K - $225K/yr

... Python * Experience creating AI agents or multi-step LLM workflows, including defining agent ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

AI and ML Engineer

Annapolis, MD · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0232485 Location: Annapolis Junction,MD,US Share job via: Share AI and ... You Have: * 3+ years of experience in AL/ML-based solutions, including Python programming and deep ...

Showing results 21-24

Remote Python Llm information

What is a remote Python LLM?

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 the key skills and qualifications needed to thrive as a remote Python LLM engineer?

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.

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.

What cities in Maryland are hiring for Remote Python Llm jobs?

Cities in Maryland with the most Remote Python Llm job openings:

Senior Cloud Infrastructure Engineer

Soft Tech Consulting

Rockville, MD • Remote

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Job description

Overview

US CITIZEN; GREEN CARD HOLDER

MUST BE ABLE TO OBTAIN PUBLIC TRUST

FULL TIME REMOTE - MAY REQUIRE SOME TRAVEL TO THE CLIENT SIDE IN ROCKVILLE, MD

PREFER TO BE LOCATED IN THE DC/MD/VA AREA

NO THIRD PARTY VENDORS

Salary is dependent upon the candidate's skills, experience, education and certifications. 

Soft Tech offers competitive BENEFITS in the areas of: Medical, Dental, Vision, 401K, Short Term Disability, Long Term Disability, Life Insurance, PTO, and Paid Holidays

Soft Tech Consulting, Inc. is seeking a Senior Cloud Infrastructure Engineer to join our program, delivering innovative cloud solutions for one of our government clients. Our program is responsible for designing, implementing, and managing enterprise infrastructure for hosting applications and solutions to include both on-prem and cloud. In your role as a  Senior Cloud Infrastructure Engineer, you will be a valuable member of a DevOps team, designing and implementing cloud infrastructure and automation, leveraging your deep technical knowledge to support a custom ChatGPT model for the intramural community to address scientific research challenges.  Your ability to solve problems and collaborative approach will be instrumental in guiding the team towards scalable and efficient solutions that meet their evolving needs.  If you're passionate about crafting transformative solutions and thrive in a fast-paced, collaborative environment, consider joining our team.  

Responsibilities
  • Work closely with all relevant stakeholders to design, secure, and implement Azure cloud infrastructure solutions for multi-modal LLM and RAG-based architectures, including Azure AI Foundry, vector indexing, knowledge source integration, and distributed cloud AI services. 
  • Support evolving features such as agentic capabilities, MCP integrations, and enterprise knowledge connectivity.
  • Use automation and codify best practices to enhance scalability, resiliency, and operational efficiency across cloud infrastructure. 
  • You will focus on streamlining system administration, reducing manual effort, and improving system reliability through scripting, configuration management, and modern ops methodologies. 
  • Use second-order thinking to identify the short, medium, and long term consequences of any architecture and decisions to identify risks, understand impact, meet requirements, and continue to drive customer value. 
  • Use your knowledge and experience with supporting application development lifecycles to recommend and engineer CI/CD pipelines to deploy code, conduct security scans and perform application health checks. 
  • Monitor system performance, reliability, and cost optimization, including logging, telemetry, incident response, and cloud resource governance. 
  • Participate in audits by providing artifacts to address NIST 800-53 rev5 controls and support the requirement to maintain an Authority to Operate (ATO). 
Qualifications
  • Education: BS/BA (or equivalent)
  • Required Experience:  Minimum of 10 years related experienced
  • Excellent written and communication skills
  • Strong troubleshooting skills

Required Technical Skills:

  • Minimum of 10 years' experience as a cloud engineer with cloud and enterprise infrastructure technologies in a medium to large enterprise
  • Hands-on experience in system administration, automation frameworks, patch management, monitoring, certificate management and data protection and backup approaches.
  • Hands-on Azure experience to include:
    • Implementing and supporting Azure AI Foundry, serverless compute, vector databases/search platforms, and knowledge integration architectures (RAG patterns preferred).
    • Implementing and supporting RBAC, identity management, and conditional access policies via Azure AD / Entra ID
    • Monitoring and performance tuning using Azure Monitor, Log Analytics, and Alerts
    • Deploying, managing, and troubleshooting network components such Load Balancers, Virtual Networks (VNets), API gateways, Firewalls, and Route Tables.
  • Experience designing and building CI/CD pipelines
  • Infrastructure-as-code experience to include experience with ARM templates and/or Terraform, writing custom modules from scratch, and helping guide and contribute to a large and growing codebase

Preferred Skills:

  • Experience managing and integrating AI models and tools such as ChatGPT, Gemini, and DALL-E.
  • Experience working in a life-sciences oriented environment
  • Writing code (Powershell, Python, Ruby, etc.) from scratch to solve problems
  • Experience using Git to manage shared software configuration code bases
About Us

Soft Tech Consulting, Inc. is a woman and minority-owned small business headquartered in Chantilly, VA. With contracts in both the public and private sectors in the DC metro area and across the country, Soft Tech is an organization made up of highly successful and talented Information Technology professionals offering enterprise class solutions for any size organization at great value. Soft Tech's mission is to help government organizations design, implement, and maintain mission critical Information Technology solutions. By focusing jointly on our employees and our customers, we are able to achieve our mission by providing each and every one of our customers with continuous quality customer support.   Soft Tech Consulting, Inc. is an Equal Opportunity Employer.

Employment Type: OTHER