VECTOR DISTRIBUTION
VECTOR DISTRIBUTION

60 Vector Software Engineer Jobs Hiring Near You

Implement RAG (Retrieval-Augmented Generation) pipelines leveraging Azure AI Search and vector ... Understanding of agent orchestration and distributed AI systems Nice to Have * Experience with ...

Implement RAG (Retrieval-Augmented Generation) pipelines leveraging Azure AI Search and vector ... Understanding of agent orchestration and distributed AI systems Nice to Have * Experience with ...

... distributed systems. * Strong proficiency in Python and developing RESTful APIs. * Hands-on ... Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or similar. * Experience ...

Lead Software Engineer

Seattle, WA · On-site

$150 - $190/hr

Build and maintain vector search capabilities using OpenSearch or similar technologies * Develop ... Ability to work independently and drive execution across distributed teams. Experience 8 to 12 ...

Develop and implement vehicle communication designs in Vector PREEvision * Implement and configure software architectures to enable automatic routings * Maintain and add to E2E, DoIP and security ...

A typical firmware software engineer designs, develops and tests operating systems-level software, compilers, and network distribution software for medical, industrial, military, communications ...

Sr. Software Engineer

$100K - $130K/yr

Vector's unique product set aims at training and learning management, continuing education (CE ... Beyond delivering high-quality software, you'll help shape technical direction, mentor engineers ...

New

A typical firmware software engineer designs, develops and tests operating systems-level software, compilers, and network distribution software for medical, industrial, military, communications ...

... vector databases, search/retrieval systems, and external APIs. • Collaborate with product ... building distributed systems, microservices, or complex backend APIs that support AI/agent ...

... using vector databases Integrate AI services with enterprise systems, APIs, and data platforms ... 6-8 years of overall software engineering / AI/ML experience Minimum 2-3 years of hands-on ...

... vector databases, search/retrieval systems, and external APIs. • Collaborate with product ... building distributed systems, microservices, or complex backend APIs that support AI/agent ...

Showing results 41-60

AI Software Engineer

eTeam

Englewood, CO • Hybrid

Contractor

Posted 19 days ago


Job description

Job Title: AI Software Engineer 
Location: Hybrid in office 3 days a week.  Preference to Denver location, Will accept MN as well
Duration: 4 months on contract with possible extension

Key Responsibilities

  • Design and develop agentic AI solutions using LangChain, LangGraph, and A2A communication protocols
  • Implement RAG (Retrieval-Augmented Generation) pipelines leveraging Azure AI Search and vector databases
  • Build and orchestrate multi-agent workflows and intelligent automation systems
  • Develop backend services using Java Spring Boot for integration, APIs, and enterprise workflows
  • Create responsive front-end applications using React JS
  • Integrate OpenAI / LLM models for reasoning, generation, and decision-making capabilities
  • Manage and optimize vector storage solutions using PGVector or ChromaDB
  • Ensure scalability, performance, and security of AI-driven applications
  • Collaborate with cross-functional teams to translate business use cases into AI-powered solutions


Required Skills

  • Strong programming skills in Python and Java (Spring Boot)
  • Hands-on experience with LangChain, LangGraph, and Agentic AI frameworks
  • Deep understanding of RAG architecture and enterprise search (Azure AI Search)
  • Experience with OpenAI or similar LLM platforms
  • Knowledge of vector databases (PGVector, ChromaDB)
  • Front-end development experience with React JS
  • Understanding of agent orchestration and distributed AI systems


Nice to Have

  • Experience with multi-agent systems and orchestration frameworks
  • Exposure to enterprise AI architecture and cloud platforms (Azure preferred)
  • Knowledge of AI governance, evaluation, and monitoring frameworks