... engineering, and integration Experience with CPU-based inference, model quantization, and performance tuning Vector Databases & RAG Practical experience with open-source vector databases such as ...
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$41.46 - $44
4% of jobs
$44 - $46.54
4% of jobs
$46.54 - $49.09
7% of jobs
$50.57 is the 25th percentile. Wages below this are outliers.
$49.09 - $51.63
16% of jobs
$51.63 - $54.17
13% of jobs
$54.17 - $56.71
5% of jobs
The median wage is $56.97 / hr.
$56.71 - $59.25
5% of jobs
$59.25 - $61.80
5% of jobs
$61.80 - $64.34
8% of jobs
$65.33 is the 75th percentile. Wages above this are outliers.
$64.34 - $66.88
17% of jobs
$66.88 - $69.42
15% of jobs
$41
$57
$69
As a Mid Level Java Developer, your typical workday often involves writing and testing Java code, troubleshooting existing applications, and participating in code reviews. You'll collaborate closely with other developers, QA engineers, and sometimes product managers in agile sprints to ensure features are delivered according to requirements. Daily stand-up meetings are common, as is the use of tools like Jira for tracking tasks. You may also spend time learning new frameworks or best practices, which helps with both personal growth and contributing to more efficient software solutions.
A Mid Level Java Developer is responsible for designing, developing, and maintaining Java-based applications. They typically have 2-5 years of experience and work on coding, debugging, and optimizing software solutions. They collaborate with teams, follow best coding practices, and may mentor junior developers. Their role involves understanding project requirements, integrating APIs, and ensuring application performance. Mid Level Java Developers contribute to both backend and frontend development, depending on the project needs.
Successful Mid Level Java Developers possess a solid understanding of Java programming, object-oriented design, and commonly used frameworks such as Spring or Hibernate, typically backed by a relevant degree and professional experience. Familiarity with tools like Git, Maven, popular IDEs (e.g., IntelliJ IDEA or Eclipse), and certifications like Oracle Certified Professional Java Programmer (OCPJP) are advantageous. Strong collaboration, problem-solving abilities, and effective communication skills help developers work efficiently within agile teams and cross-functional projects. Mastering both technical and soft skills ensures smooth project delivery, maintainable code quality, and productive teamwork in dynamic software development environments.

Full-time
Posted 13 days ago
Position Type: Contract
Location: Philadelphia | Work Mode: Hybrid, minimum 3 days in the office
Interview Schedule: 1st interview, 1-hour, in-person; 2nd interview, 1-hour, in-person
Consultant Requirements – On-Prem LLM & Vector DB Implementation
Core Experience
Hands-on experience deploying open-source LLMs such as Meta Llama 3 and Mistral / Mixtral in on-prem or private environments
Strong proficiency in Python for LLM inference, prompt engineering, and integration
Experience with CPU-based inference, model quantization, and performance tuning
Vector Databases & RAG
Practical experience with open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector
Proven implementation of Retrieval-Augmented Generation (RAG) pipelines
Experience generating and managing embeddings and metadata filtering
Security & Governance
Understanding of data privacy, air-gapped deployments, and enterprise security requirements
Experience implementing access controls and audit logging
Nice to Have
Experience with LangChain or LlamaIndex
Exposure to Rust, Go, or C++ for high-performance services
Familiarity with Docker and Kubernetes for on-prem deployments
Knowledge of inference frameworks (e.g., vLLM, llama.cpp, Hugging Face Transformers)
Prior work in regulated or enterprise environments
Deliverables
Reference architecture and deployment guidance
Working prototype (LLM + vector DB + RAG)
Documentation and knowledge transfer to internal teams