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Home Based Rust Backend Developer Jobs in Trenton, NJ

Python Developer

Pennington, NJ · On-site

$110K - $120K/yr

Based on your experience, I believe you could Python Developer with one of our clients, through an ... Design and implement back-end software components using Python frameworks such as Django or Flask

Collaborate closely with backend engineers, QA, and product owners to deliver high-quality ... Experience developing modular, component-based architectures. * Strong understanding of performance ...

... cloud-based solutions, preferably on AWS or other cloud platforms - Optimize application ... HTML5, CSS3, JavaScript/TypeScript - Experience with backend development using Java, Spring Boot ...

.Net Developer

Princeton, NJ · On-site

$50.50 - $66.75/hr

NET backend development, modern frontend technologies, REST APIs, SQL databases, and Azure, with ... Work with JSON, XML, authentication mechanisms, and API-based integration patterns. * Understand ...

The role involves fully back-end development focused on telemetry collection and data integration ... Gather and process data from Cisco network hardware and AWS-based applications. * Resolve data ...

Showing results 41-60

Home Based Rust Backend Developer information

See Trenton, NJ salary details

$12

$57

$84

How much do home based rust backend developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for home based rust backend developer in Trenton, NJ is $57.89, according to ZipRecruiter salary data. Most workers in this role earn between $47.50 and $68.46 per hour, depending on experience, location, and employer.

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Infographic showing various Home Based Rust Backend Developer job openings in Trenton, NJ as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $120,417 per year, or $57.9 per hour.

Software Developer / Engineer - Philadelphia, PA (Locals Only)

Apetan Consulting llc

Philadelphia, PA • On-site

$80 - $150/hr

Contractor

Re-posted 16 days ago


Job description

Software Developer / Engineer
Location: Philadelphia, PA 
Work Schedule: Hybrid 3 days on site, 2 remote


Position Overview

We are seeking a Software Developer / Engineer to help design and implement an on-premises Large Language Model (LLM) platform with Retrieval-Augmented Generation (RAG) capabilities. This role will focus on deploying open-source AI models, integrating vector databases, and building secure, enterprise-grade AI solutions in a private environment.

This is an excellent opportunity for a developer with hands-on experience in modern AI technologies who enjoys building scalable, high-performance systems.

Responsibilities

  • Deploy and optimize open-source large language models (LLMs) such as Meta Llama 3 and Mistral/Mixtral in on-premises or private environments.
  • Develop Python-based applications for LLM inference, prompt engineering, and model integration.
  • Optimize CPU-based model inference through quantization and performance tuning.
  • Design and implement Retrieval-Augmented Generation (RAG) (RAG) pipelines.
  • Configure and manage open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector.
  • Generate and manage embeddings while implementing metadata filtering strategies.
  • Support enterprise security requirements, including air-gapped deployments, access controls, data privacy, and audit logging.
  • Produce technical documentation, deployment guidance, and knowledge transfer materials for internal teams.
  • Build a working prototype integrating an LLM, vector database, and RAG architecture.

Required Qualifications

  • Professional experience deploying open-source LLMs (e.g., Meta Llama 3, Mistral/Mixtral) in on-premises or private environments.
  • Strong Python development experience.
  • Hands-on experience with LLM inference, prompt engineering, and AI application integration.
  • Experience optimizing CPU-based inference through model quantization and performance tuning.
  • Experience with vector databases such as Qdrant, Chroma, Milvus, or pgvector.
  • Proven experience implementing Retrieval-Augmented Generation (RAG) solutions.
  • Understanding of enterprise security, data privacy, air-gapped environments, access controls, and audit logging.

Preferred Qualifications

  • Experience with LangChain or LlamaIndex.
  • Familiarity with Docker and Kubernetes.
  • Experience with inference frameworks such as vLLM, llama.cpp, or Hugging Face Transformers.
  • Experience with Rust, Go, or C++.
  • Previous experience working in enterprise or regulated environments.

Deliverables

  • Reference architecture and deployment guidance.
  • Working prototype integrating an LLM, vector database, and RAG solution.
  • Technical documentation and knowledge transfer to internal teams.