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Remote Python Llm Jobs in Maryland (NOW HIRING)

Lead AI Engineer

Rockville, MD · On-site +1

$99 - $110/hr

Description: Hybrid 3 days onsite / 2 days remote in Rockville, MD Our client seeks a Lead AI ... Proficiency in Python and LLM orchestration or agent frameworks such as LangChain or AWS Strands.

Lead AI Engineer

Rockville, MD · On-site +1

$99 - $110/hr

Description: Hybrid 3 days onsite / 2 days remote in Rockville, MD Our client seeks a Lead AI ... Proficiency in Python and LLM orchestration or agent frameworks such as LangChain or AWS Strands.

Senior Generative AI Engineer

Potomac, MD · On-site +1

$57.25 - $73.75/hr

They understand that deploying an LLM inside a production workflow is a fundamentally different ... Python fluency including LangChain and AWS Strands; experience with vector databases and embedding ...

AI Automation Engineer -Remote

Annapolis, MD · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

AI Automation Engineer -Remote

Rockville, MD · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

AI Automation Engineer -Remote

Baltimore, MD · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

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Remote Python Llm information

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.

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 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 job categories do people searching Remote Python Llm jobs in Maryland look for? The top searched job categories for Remote Python Llm jobs in Maryland are:
What cities in Maryland are hiring for Remote Python Llm jobs? Cities in Maryland with the most Remote Python Llm job openings:

AI Security Automation Engineering - Lead

Kanor Systems

Bethesda, MD • On-site, Remote

Other

Posted yesterday


Job description

Role Level

Lead/Manager- AI Security Automation Engineering

Role Type

Individual Contributor

Location

Remote-friendly / Marriott HQ

Core Stack

Python Go Neo4j LLM APIs Graph Databases

Frameworks

NIST AI RMF OWASP LLM Top 10 ISO 42001 OSCAL

Responsibilities:

  • Design review templates ("archetypes") for every major AI deployment pattern: agentic AI, conversational platforms, IoT+AI, contact center AI, and enterprise SaaS.
  • Build intake questionnaires that auto-route submissions to the right control checklists based on deployment model (SaaS, on-prem, hybrid, multi-cloud, API-integrated).
  • Define complexity weighting models and set measurable cycle-time targets per review type.
  • Build LLM-powered tools that auto-draft threat models from architecture descriptions, map controls to findings, and surface cross-review risk patterns.
  • Develop automated intake and triage pipelines - intent classification, complexity scoring, archetype detection, priority assignment - integrated with ServiceNow or Jira.
  • Own the operational dashboards: cycle time, queue depth, completion rate, rework rate.
  • Design and maintain a labeled property graph ontology connecting AI patterns, controls, threats, standards, deployment paradigms, and risk tiers.
  • Implement graph traversal queries for gap analysis (risk dimension unaddressed controls), tier compliance, and cross-pattern coverage.
  • Export graph data to support executive reporting and audit evidence packages.
  • Build control mapping pipelines that link review findings to AI risk dimensions and OSCAL-aligned compliance attestations.
  • Drive alignment with EU AI Act obligations: risk classification, quality management traceability, and risk management documentation.
  • Coordinate with assurance and risk teams on scoring handoff criteria and independent verification.

Must-Have Experience

  • 10+ years building and operating complex data models, knowledge graphs, or system architectures - especially in compliance, policy, or regulatory domains.
  • 2+ years in cybersecurity: security assessments, threat modeling, control mapping, or risk analysis in enterprise or regulated environments.
  • Proven track record converting manual review processes into repeatable, metrics-driven, AI-assisted operations.
  • Experience building AI/ML automation for security, compliance, or GRC workflows - not just using tools, but engineering them.
  • Production-grade delivery: automation systems running at enterprise scale, not proof-of-concept only.
  • Strong executive communication: able to present pipeline metrics upward and threat models to architecture review boards.

Technical Skills

  • Python and Go for building automation tooling, API integrations, and data pipelines.
  • Graph databases: Neo4j, KuzuDB, NetworkX, openCypher, or GraphML - including ontology design and graph-based reasoning.
  • LLM and agent frameworks: PydanticAI, LangChain, or equivalent; experience with Claude (Bedrock), Azure OpenAI, or similar foundation model APIs.
  • AI system architecture depth: LLMs, RAG pipelines, MCP, vector stores, agent orchestration.
  • Security frameworks: NIST AI RMF, ISO 42001, NIST CSF, OWASP LLM Top 10, OWASP Agentic Top 10, MITRE ATLAS, OSCAL.
  • Workflow platform APIs: ServiceNow, Jira, or equivalent for end-to-end process automation.

Education

  • Master's or Ph.D. in Computer Science, Cybersecurity, Information Systems, or related STEM field - or equivalent experience demonstrated in role.