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Vector Database Engineer Job in USA 2026 with H-1B Visa Sponsorship

February 10, 2026 4:10 pm

Vector Database Engineer Job in USA 2026 with H-1B Visa Sponsorship

A U.S.-based technology firm is seeking a Vector Database Engineer for a full-time remote position with H-1B visa sponsorship available under the 2027 quota. This opportunity is structured for international professionals currently on OPT, CPT, H4 EAD, TN, E3, or other eligible non-immigrant visa categories who are pursuing long-term employment in the United States. H-1B transfer candidates are also welcome.

This role is designed for engineers with hands-on experience in vector databases, semantic search systems, and AI-driven retrieval architectures. The position offers exposure to production-scale AI search platforms serving enterprise clients across multiple industries.

About Role

As a Vector Database Engineer, you will architect, deploy, and optimize scalable semantic search and similarity search systems powered by modern vector databases. You will work at the intersection of machine learning pipelines, large language models (LLMs), and cloud-native infrastructure to build intelligent retrieval systems.

The role requires strong expertise in embeddings, indexing strategies, performance optimization, and distributed data architectures. You will collaborate closely with AI engineers and backend teams to ensure high availability, performance efficiency, and seamless integration of vector-based systems into enterprise applications.

About Hiring Firm

Bright Vision Technologies is a U.S.-based software development and digital transformation firm specializing in AI-powered systems, automation platforms, and scalable cloud solutions. The organization partners directly with enterprise clients to deliver modern infrastructure and intelligent technology solutions.

The company operates strictly as a direct W2 employer and does not engage in third-party brokering or C2C arrangements. Bright Vision Technologies supports structured H-1B sponsorship pathways and maintains a strong commitment to equal employment opportunity and inclusive hiring practices.

Responsibilities

Design and implement vector database architectures using Pinecone, FAISS, Milvus, or Weaviate
Build and optimize semantic search and similarity search systems
Develop and manage embedding pipelines for AI-driven applications
Integrate large language models into retrieval and indexing workflows
Optimize data indexing, storage, and query performance
Develop RESTful APIs to support AI search services
Deploy containerized services using Docker and Kubernetes
Manage cloud infrastructure across AWS, Azure, or GCP
Implement CI/CD pipelines for automated deployments
Monitor system performance, scalability, and reliability

Requirements

3–5 years of experience in backend engineering, AI systems, or database engineering
Hands-on expertise with vector databases such as Pinecone, FAISS, Milvus, or Weaviate
Strong understanding of embeddings and semantic search concepts
Proficiency in Python and machine learning pipeline development
Experience working with LLM-integrated applications
Knowledge of cloud platforms (AWS, Azure, or GCP)
Experience with Docker, Kubernetes, and Linux environments
Familiarity with CI/CD tools and version control using Git
Ability to pass a technical coding assessment
Eligibility for H-1B sponsorship or transfer

Click Here to Apply

Conclusion

This opportunity provides international AI and database professionals with a structured pathway to secure H-1B sponsorship while working on advanced vector search and LLM-powered systems in the United States. With remote flexibility, enterprise-level AI projects, and direct W2 employment, this role offers a strategic career move for globally qualified engineers seeking long-term growth in the U.S. technology market.