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Python Llm Jobs in Remote, OR (NOW HIRING)

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Strong Python, AWS SDK Python for building production Lambda functions and event-driven services ... Hands-on experience integrating with LLM APIs Bedrock, OpenAI, Anthropic, or similar. * Familiarity ...

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Apps AI Solution Architect AMS

OR · Remote

$59 - $77.75/hr

Proficiency in Python, Node.js, or Java, with exposure to LLM integration, prompt engineering, and API orchestration. * Experience with leading AI-assisted productivity tools such as Claude, Gemini ...

Apps AI Solution Architect AMS

OR · On-site +1

$59 - $77.75/hr

Proficiency in Python, Node.js, or Java, with exposure to LLM integration, prompt engineering, and API orchestration. * Experience with leading AI-assisted productivity tools such as Claude, Gemini ...

Reporting & Analytics Lead

OR · On-site +1

$140K - $155K/yr

Identify opportunities to apply AI/ML and LLM-based tools to automate, accelerate, and elevate the ... Python for analytical automation or advanced analysis. * Knowledge of data governance and data ...

Identify opportunities to apply AI/ML and LLM-based tools to automate, accelerate, and elevate the ... Python for analytical automation or advanced analysis. * Knowledge of data governance and data ...

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

... Python, Go, or Rust) with strong coding fundamentals. * Solid experience with various database ... Experience developing foundational support services for AI-driven products or open-source LLM ...

Python Llm information

See Remote, OR salary details

$13

$58

$86

How much do python llm jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for python llm in Remote, OR is $58.56, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $66.54 per hour, depending on experience, location, and employer.

What is a Python LLM job?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python Llm position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM Engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are popular job titles related to Python Llm jobs in Remote, OR? For Python Llm jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Remote, OR look for? The top searched job categories for Python Llm jobs in Remote, OR are:
Infographic showing various Python Llm job openings in Remote, OR as of May 2026, with employment types broken down into 85% Full Time, 5% Part Time, and 10% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $121,812 per year, or $58.6 per hour.
Software Engineer Agentic AI Platform (277460)

Software Engineer Agentic AI Platform (277460)

ASK Consulting

OR • Remote

$70 - $75/hr

Contractor

Posted 2 days ago

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Job description

"All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment".


Job Title: Software Engineer Agentic AI Platform

Location: Remote across, US

Duration: 06 Months (Estimated Start Date: 06/29/2026; Estimated End Date: 01/01/2027)

Hours Per Week: 40.00; Hours Per Day: 8.00

PR Range for 3-5 years of experience: $70/hr - $75/hr on W2

PR Range for 5-7 years of experience:  $9o/hr - $95/hr on W2


Job Description:

About the role:

Were building Centralized Agentic AI Framework a shared platform that brings safe, governed, cost-aware AI agents into every teams GitLab workflow.

You'll be a hands-on engineer building and extending this platform writing the Lambdas that orchestrate agents, integrating Bedrock with GitLab CI, hardening the security and observability layers, and shipping new agent capabilities that any team can adopt without re-architecting.


What you'll do:

  • Build agent orchestration implement Router Lambdas, SQS-based queueing, and Bedrock Agent invocation
  • Integrate with GitLab CI/CD design .gitlab-ci.yml patterns where agent invocations run as pipeline stages, consume branch/diff/test context, emit artefacts, and gate downstream stages on agent pass/fail signals.
  • Develop shared Action Groups build the AWS Lambda-backed tools
  • Design Knowledge Bases iUtilise AWS Bedrock Knowledge Base / OpenSearch / S3 so agents reason over shared organizational context, not isolated prompts.
  • Implement Bedrock Guardrails input/output filters, sensitive-data scrubbing, content/word filters, and per-agent permission boundaries enforced by design.
  • Implement TokenOps controls model tiering and routing via an LLM gateway, semantic caching, context-window management
  • Instrument everything in AWS CloudWatch dashboards, audit trails, trace logging of every agent invocation (input, output, decision, tokens, cost) for compliance and debugging.

Required (37 years of professional experience):

  • Strong Python, AWS SDK Python for building production Lambda functions and event-driven services.
  • Solid AWS experience: Lambda, API Gateway, SQS, EventBridge, IAM, Secrets Manager, CloudWatch.
  • Amazon Bedrock specifically: Agents, Action Groups, Knowledge Bases, Guardrails.
  • Hands-on experience integrating with LLM APIs Bedrock, OpenAI, Anthropic, or similar.
  • Familiarity with CI/CD platforms GitLab CI strongly
  • A security mindset: least-privilege IAM, secrets handling, input validation, awareness of prompt injection and data-leak risks in LLM workflows.
  • Comfortable with observability structured logging, metrics, tracing and writing code that's debuggable in production.


Skills: Nice to have:

  • Vector search / RAG: OpenSearch, embeddings, retrieval evaluation.
  • FinOps or TokenOps: cost attribution, model routing, semantic caching, batch inference.
  • Experience building developer platforms or internal tooling youve shipped something other engineers depend on daily.
  • Familiarity with agent frameworks (Bedrock AgentCore) and their tradeoffs.


How you work:

  • You write small, focused services with clear contracts not monoliths.
  • You treat extensibility as a feature: new triggers/agents/tools shouldnt require touching unrelated layers.
  • You think about the developer experience of the teams wholl use your platform, not just whether the code runs.
  • Your'e comfortable with ambiguity agentic systems are non-deterministic, and you debug them empirically.


About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities

ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.