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Vector Databases Jobs in Londonderry, NH (NOW HIRING)

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Vector Databases information

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What are the key skills and qualifications needed to thrive as a vector database engineer, and why are they important?

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.
Vector Databases jobs near you

Forward Deployed Engineer, AI Enablement (Teradyne, North Reading, MA)

Teradyne

North Reading, MA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world!

We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive.

Our Purpose
TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.
We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.
Opportunity Overview
The AI Transformation team, part of the Chief AI Officer's organization, is accelerating the deployment of AI-augmented workflows across the entire organization. Our mission is to augment employee capabilities and embed intelligence into the most critical workflows that drive our business. We're seeking a Forward Deployed Engineer, AI Enablement who approaches every challenge by first considering what modern AI tools can solve, focusing on rapid prototyping, validation, and deployment of AI solutions where your success will directly impact business metrics.

  • Design and deploy AI-augmented workflows using modern platforms (Microsoft Copilot Studio/Foundry, LangChain, LlamaIndex, and similar frameworks)
  • Build natural language interfaces, conversational AI systems, and AI-enabled applications from user interfaces to backend systems
  • Collaborate with stakeholders across sales, engineering, operations, finance, and product teams to translate AI capabilities into measurable business value
  • Lead AI solutions from concept to production with focus on built-in quality, establishing baselines and tracking metrics to demonstrate business outcomes
  • Partner with business teams to rapidly diagnose workflow bottlenecks and architect AI solutions that stakeholders can sustain independently
  • Contribute to continuous improvement culture and team collaboration


All About You
We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you're ready to join us in this mission, take a closer look at the minimum criteria for the position.

  • Bachelor's degree in Computer Science, Engineering, Machine Learning, or related technical field
  • 3-5 years of software engineering experience
  • Fluency in AI-native development tools (Cursor, OpenAI Codex, Claude Code, or similar)
  • Hands-on experience with modern AI platforms or frameworks (Microsoft Copilot Studio/Foundry, LangChain, LlamaIndex, or similar)
  • Strong full-stack development skills with modern programming languages and frameworks
  • Excellent communication skills in English, both written and spoken
  • Intellectual curiosity across technical and business domains, blended with outcome-driven mindset
  • Business outcome orientation with ability to connect technical work to measurable metrics


Bonus Points For

  • Master's degree in Computer Science, Machine Learning, or related field
  • Experience with Microsoft ecosystem tools like Power Platform, Graph API, or Azure AI Search
  • Fluency in AI CLI tools such as Claude Code, Codex CLI, or Gemini CLI; experience with compound engineering features (Cursor rules, AI agent subflows, or similar agentic workflows)
  • Hands-on experience with agentic AI frameworks (OpenClaw, LangGraph, etc.), local model inference (Ollama), and MCP
  • Backend expertise in data pipelines, cloud infrastructure, DevOps, or MLOps
  • Background in prompt engineering, RAG architectures, vector databases, or LLM fine-tuning
  • Experience with commercial enablement tools (sales copilots, CRM AI workflows including Salesforce, marketing automation, support bots)
  • Understanding of enterprise AI considerations (security, compliance, data governance)
  • Experience measuring and optimizing AI system quality (accuracy, relevance, latency, cost) and AI productivity impact across SDLC phases
  • Experience in forward-deployed or customer-embedded engineering roles, solutions engineering, or technical consulting

 

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.


Compensation:The base salary range for this role is $169,700 -  $271,500. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.


Incentive Plan: This job is eligible for discretionary bonus(es) based on financial performance.
Benefits:Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more.  Please click here to see details.

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