HomeVector Database ExpertGenAI Vector DB Engineer

GenAI Vector DB Engineer

Futran Tech Solutions Pvt. Ltd.·US

Posted 2928w ago

Full-Time
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About the Role

GenAI VectorDB Engineer 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

What you'll do

  • Candidates may need to travel occasionally at client site
  • 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
  • Displays ownership of their work (quality, timeliness)

Requirements

  • 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
  • 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
  • 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
  • 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
  • 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
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