Gen AI Developer

Quantum Technologies. LLC; Quincy (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

Quantum Technologies. LLC seeks an AI/ML engineer to advance generative AI capabilities, RAG architectures, and end-to-end AI workflows. You will develop in Python or Java, work with LangChain/LangGraph/LlamaIndex, and manage vector databases while integrating cloud services.

Collaborate with cross-functional teams to deploy scalable ML/NLP solutions, implement robust APIs, and ensure secure, efficient model deployment in a modern cloud environment.

Qualifications

• Proficiency in Python or Java.
• Hands-on experience with Generative AI and LLMs.
• Strong understanding of RAG architecture and implementation.
• Experience with prompt engineering and context management.
• Hands-on experience with LangChain, LangGraph, or LlamaIndex.
• Experience with vector databases such as Pinecone, FAISS, Chroma, or Weaviate.
• Knowledge of REST APIs, microservices, and distributed systems.
• Experience with ML and NLP fundamentals.
• Familiarity with AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, Git, and CI/CD pipelines.

Skills

Python/Java programming

Generative AI/LLMs

RAG architecture

Prompt engineering

LangChain/LangGraph/LlamaIndex

Vector databases

REST APIs/microservices

ML/NLP fundamentals

Cloud platforms (AWS/Azure/GCP)

Docker/Kubernetes/Git/CI-CD

Tools

Docker

Kubernetes

Git

CI/CD pipelines

LangChain

LangGraph

LlamaIndex

Pinecone

FAISS

Chroma

Weaviate

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Required Qualifications :

• Strong programming skills in Python or Java.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Strong understanding of RAG architecture and implementation.
• Experience with prompt engineering and context management.
• Hands-on experience with LangChain, LangGraph, or LlamaIndex.
• Experience with vector databases such as Pinecone, FAISS, Chroma, or Weaviate.
• Knowledge of REST APIs, microservices, and distributed systems.
• Experience with machine learning and NLP fundamentals.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, Git, and CI/CD pipelines.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.