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Remote Python Llm Jobs in Clifton, NJ (NOW HIRING)

High Bridge Consulting LLC

Sr AI Data Engineer

Brooklyn, NY · On-site +1

$50 - $80/hr

... LLM | RAG | Databricks | Mosaic AI | Python | Anthropic Claude | Vector Search | Human-in-the-Loop | AI/ML Engineering | Data Engineering This is a remote position. Compensation: $50.00 - $80.00 per ...

New

Home - ARETEC

Senior AI / Backend Engineer

New York, NY · On-site +1

You will develop Python services, LLM integrations, retrieval pipelines, agent workflows, APIs ... Flexible Work Arrangements, including remote options when permitted by contract * Paid Time Off and ...

Socotec

Junior Software Engineer

Manhattan, NY · On-site +1

$110/day

Design and build features end-to-end across modern React frontends and Python (Django / FastAPI ... Contribute to AI-powered features: prompt engineering, agent workflows, RAG pipelines, and LLM ...

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All JobsPython Llm JobsRemote Python Llm JobsRemote Python Llm Jobs in Clifton, NJ

Remote Python Llm information

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How much do remote python llm jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote python llm in Clifton, NJ is $60.31, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.51 per hour, depending on experience, location, and employer.

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 job categories do people searching Remote Python Llm jobs in Clifton, NJ look for?

The top searched job categories for Remote Python Llm jobs in Clifton, NJ are:

What cities near Clifton, NJ are hiring for Remote Python Llm jobs?

Cities near Clifton, NJ with the most Remote Python Llm job openings:

Remote Python Llm jobs near you

Agentic AI Engineering Architect (Remote -US)

OMG Technologies

Jersey City, NJ • Remote

Contractor

Posted 22 days ago

Job description

Agentic AI Engineering Architect - Remote (US)
We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the pharmaceutical Industry. This is a REMOTErole.

Position Overview

Lead the transformation of the software engineering organization into anAI-augmented, agentic engineering model. You will architect an enterprise framework that uses AI agents across theProduct Development Life Cycle (PDLC) from requirements and architecture through development, testing, DevSecOps, release, and operations.

Key Responsibilities

  • Define theAI-native SDLC / Agentic PDLC architecture and roadmap.
  • Architect multi-agent workflows for requirements, architecture, development, testing, security, DevOps, compliance, and release management.
  • Design the enterpriseAI Engineering Platform/Harness, including LLM gateway, RAG, vector databases, knowledge graphs, MCP, agent registry, orchestration, memory, observability, and evaluation.
  • DriveAI-enabled software engineering transformation, including AI coding, code review, automated testing, documentation, refactoring, and DevSecOps.
  • Define enterprise architectures acrosscloud, microservices, APIs, data, event-driven systems, and AI infrastructure.
  • EstablishAI governance, security, Responsible AI, validation, and regulatory compliancepractices.
  • Lead enterprise AI adoption, engineering enablement, training, and change management.
  • Evaluate and select AI platforms and frameworks such asOpenAI, Azure AI, AWS Bedrock, Google Gemini, Anthropic, LangGraph, AutoGen, Semantic Kernel, LangChain, MCP, GitHub Copilot, Cursor, and Claude Code.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred.
  • 12+ yearsof enterprise software engineering experience.
  • 8+ yearsleading enterprise architecture initiatives.
  • 5+ yearsleading cloud-native engineering transformations.
  • Experience leading large Agile engineering organizations (200+ engineers preferred).
  • Strong experience inenterprise software modernization and DevSecOps at scale.
  • Strong understanding ofGenerative AI, Agentic AI, AI engineering platforms, and enterprise AI adoption.
  • Experience implementingGenAI solutions in enterprise environments.
  • Strongenterprise architecture, technical leadership, and organizational transformation skills.

Key Technical Skills

AI/Agentic AI:GenAI, LLMs, Agentic AI, RAG, Knowledge Graphs, LLMOps, AI Evaluation, AI Safety, MCP, Context Engineering.
Engineering:Python, Java, C#, TypeScript, Node.js, React, REST/GraphQL, Microservices, Kubernetes, Docker, GitHub, Azure DevOps, Terraform, CI/CD.
Cloud/Data:Azure, AWS, GCP, Databricks, Snowflake, PostgreSQL, Redis, Vector Databases, Neo4j.
AI Frameworks:LangGraph, CrewAI, AutoGen, Semantic Kernel, PydanticAI, LangChain, LlamaIndex, OpenAI/Anthropic SDKs, Azure AI Foundry.

Other Job Details:

  • Job Type:C2C or W2. (Open to market rate)
  • Duration:6+ months with a high possibility of extension.
  • Location:REMOTE.
  • Interviews:Video interviews.
  • Docs required: ID proof will be required.

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