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Vector Pipeline Jobs (NOW HIRING)

GenAI Vector DB Engineer

$117K - $140K/yr

Architect and performance tune vector pipeline for embedding and text similarity search * Identify and resolve performance bottlenecks to ensure efficient data retrieval. * Collaborate with ...

Senior Data Engineer

Colorado Springs, CO · On-site

$104K - $141K/yr

Build embeddings and vector pipelines, and the feature/retrieval-ready datasets that RAG, semantic search, and agentic workloads depend on * Make production data AI-ready in practice: well-structured ...

AI Data Pipeline Engineer

Reston, VA · On-site

$119K - $143K/yr

Responsibilities : • Experience working with geospatial data types (rasters and vectors) • Experience building data pipelines to integrate data from multiple sources: • Designing and ...

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Vector Pipeline information

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$96K

$139.2K

$167.5K

How much do vector pipeline jobs pay per year?

As of Jul 8, 2026, the average yearly pay for vector pipeline in the United States is $139,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $167,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Vector Pipeline position, and why are they important?

To excel in a Vector Pipeline role, candidates typically need a strong background in computer graphics, 3D pipeline development, and programming languages such as Python or C++. Familiarity with industry-standard tools like Autodesk Maya, Houdini, and version control systems is frequently required, along with knowledge of data formats and real-time rendering engines. Strong problem-solving skills, communication, and the ability to collaborate with multidisciplinary teams are invaluable soft skills. These capabilities enable efficient development and maintenance of art asset pipelines, ensuring smooth workflows for artists and technical teams in industries such as animation, gaming, or visual effects.

What is a Vector Pipeline job?

A Vector Pipeline job typically involves managing the flow of vector data in computing processes, often related to graphics rendering, machine learning, or high-performance computing. This role focuses on optimizing how vectorized data is processed through parallel computing techniques, ensuring efficiency and speed. Professionals in this field work with specialized hardware, software frameworks, and algorithms to enhance computational performance.

What are the main responsibilities of a Vector Pipeline specialist on a production team?

A Vector Pipeline specialist is primarily responsible for developing, managing, and optimizing the processes that move graphical assets through different stages of a production. This includes creating scripts and tools to automate repetitive tasks, ensuring compatibility between software packages, and addressing technical issues that arise in the art pipeline. They frequently collaborate with artists, animators, and developers to streamline workflows and improve efficiency. In larger teams, they may also participate in planning meetings and help train other team members on pipeline tools and best practices. This multifaceted role is central to keeping projects on schedule and facilitating smooth creative collaboration.

What cities are hiring for Vector Pipeline jobs? Cities with the most Vector Pipeline job openings:
What are the most commonly searched types of Vector Pipeline jobs? The most popular types of Vector Pipeline jobs are:
What states have the most Vector Pipeline jobs? States with the most job openings for Vector Pipeline jobs include:

Full-time

Posted 25 days ago


Job description

Vector Application Developer
Remote
Fulltime
Candidates may need to travel occasionally at client site.
Responsibilities:
The ideal candidate will have expertise in designing, implementing, and optimizing vector databases, with a strong focus on utilizing ChoromDB/Pinecone for vector applications. The role involves contributing to the development and maintenance of our data infrastructure, ensuring efficient handling of complex relationships and vectors.
  • Design and implement vector databases to efficiently store and retrieve high-dimensional vectors.
  • Optimize database queries, indexing strategies for vector operations.
  • Architect and performance tune vector pipeline for embedding and text similarity search
  • Identify and resolve performance bottlenecks to ensure efficient data retrieval.
  • Collaborate with application developers to integrate vector databases and knowledge graphs into various software solutions.
  • Provide support for query optimization and data modeling for application-specific requirements.
  • Implement and maintain data security measures for vector databases.
  • Ensure compliance with relevant data protection regulations and industry standards.
  • Work closely with cross-functional teams, including data scientists, software engineers, and product managers.
  • Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.

Technical skills:
  • Knowledge of distributed database systems.
  • Familiarity with machine learning and AI concepts related to vector data.
  • Experience with cloud-based database solutions.
  • Proven experience in designing and implementing vector databases, with a focus on ChromaDB/Pinecone etc for vector applications.
  • Strong proficiency in embeddings, vectorization, vector stores, database optimization, performance tuning, and relevant query languages.
  • Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs.
  • Experience with LLM and other related frameworks like Langchain, LLama
  • Experience with relevant programming languages, such as Python, Java, or Scala.
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.

Soft skills:
  • Strong work ethic and desire to produce quality results
  • Consistently and proactively communicates (verbally/written) to stakeholders (progress/roadblocks/etc.)
  • Continuous Improvement mindset and approach to work product
  • Ability to take complex subjects and simplify it to less technical individuals
  • Provides clear documentation of processes, workflows, recommendations, etc.
  • High level of critical thinking capabilities
  • Organized and has the ability to manage work effectively, escalating issues as appropriate
  • Takes initiative & is a self-starter
  • Displays ownership of their work (quality, timeliness)
  • Seeks to become an expert in their field and shares their expertise through recommendations, proactive communications/actions and peer sharing/coaching where relevant
  • Should be able to communicate with stakeholders directly and independently
  • Should have good problem solving skills

Candidate Profile:
  • Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
  • 8+ years of experience working with data engineering with atleast 2-3 years of experience working on vector databases.
  • Strong experience with vector databases including ChromaDB, Pinecone and corresponding implementations over cloud platforms (AWS, Azure etc.)
  • Outstanding written and verbal communication skills
  • Superior analytical and problem solving skills
  • Experience in working in dual shore engagement is preferred
  • Must have experience in managing clients directly
  • Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
  • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
  • Is able to understand cross cultural differences and can work with clients across the globe