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From Home Vector Pipeline Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

GenAI Vector DB Engineer

$117K - $140K/yr

Architect and performance tune vector pipeline for embedding and text similarity search * Identify ... same fields from the top tier academic institutions are also welcome to apply * 8+ years of ...

Marvik

Senior Data Engineer

Colorado Springs, CO

$104K - $141K/yr

Build embeddings and vector pipelines, and the feature/retrieval-ready datasets that RAG, semantic ... Implement real-time and change-data-capture flows from MongoDB (Change Streams / CDC) where ...

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As of Jul 8, 2026, the average yearly pay for from home 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.
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Vector Application Developer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Re-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

Apply