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Graph Database Jobs in Boston, MA (NOW HIRING)

AI Engineer II

Waltham, MA · On-site

$130K - $200K/yr

Experience with knowledge graphs, graph databases, or hybrid retrieval systems to enhance contextual reasoning and data relationships * Proficiency in Python programming Experience deploying using CI ...

Engineer II, Data Systems

Norwood, MA · On-site

$129.40K - $155.30K/yr

Proficiency with GraphQL APIs and Graph databases. * Proficiency with relational databases (MSSQL, PostgresQL). * A desire to make an impact as part of a high-growth, transformational company that is ...

Engineer II, Data Systems

Norwood, MA

$129.40K - $155.30K/yr

Proficiency with GraphQL APIs and Graph databases. * Proficiency with relational databases (MSSQL, PostgresQL). * A desire to make an impact as part of a high-growth, transformational company that is ...

Graph databases (Neo4j) for modeling complex relationships * Vector databases and embeddings infrastructure for semantic search AI / LLM Tooling * Experience building and operating LLM-powered ...

Graph databases (Neo4j) for modeling complex relationships * Vector databases and embeddings infrastructure for semantic search AI / LLM Tooling * Experience building and operating LLM-powered ...

Proficiency with GraphQL APIs and Graph databases. * Proficiency with relational databases (MSSQL, PostgresQL). * A desire to make an impact as part of a high-growth, transformational company that is ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Emphasizes logical reasoning and rigorous argumentation, connecting discrete structures to database ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Emphasizes logical reasoning and rigorous argumentation, connecting discrete structures to database ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Emphasizes logical reasoning and rigorous argumentation, connecting discrete structures to database ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Emphasizes logical reasoning and rigorous argumentation, connecting discrete structures to database ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Emphasizes logical reasoning and rigorous argumentation, connecting discrete structures to database ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Emphasizes logical reasoning and rigorous argumentation, connecting discrete structures to database ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Emphasizes logical reasoning and rigorous argumentation, connecting discrete structures to database ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Emphasizes logical reasoning and rigorous argumentation, connecting discrete structures to database ...

You aren't just a coder; you are a Database Strategist who knows exactly when to deploy relational, vector, graph, or document data models, backed by a deep understanding of sharding, replication ...

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Graph Database information

See Boston, MA salary details

$28

$57

$87

How much do graph database jobs pay per hour?

As of May 30, 2026, the average hourly pay for graph database in Boston, MA is $57.71, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $65.29 per hour, depending on experience, location, and employer.

What is a Graph Database job?

A Graph Database job typically involves working with graph-based database technologies such as Neo4j, ArangoDB, or Amazon Neptune. Professionals in this role design, implement, and optimize graph database models to efficiently store and retrieve complex relationships between data points. Common responsibilities include data modeling, query optimization using graph query languages (e.g., Cypher, Gremlin), and integrating graph databases into larger data ecosystems. These roles are often found in industries like fraud detection, social networking, and recommendation systems, where understanding relationships between data is crucial.

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

To thrive as a Graph Database Engineer, you need expertise in data modeling, query languages such as Cypher or Gremlin, and a solid understanding of graph theory and database architectures. Familiarity with graph database platforms like Neo4j, Amazon Neptune, or TigerGraph, as well as certifications in relevant technologies, are highly valued. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating with development and analytics teams. These competencies are vital for designing efficient graph data solutions, optimizing performance, and supporting business insights through connected data analysis.

What are some common challenges faced by professionals working with graph databases?

One common challenge when working with graph databases is efficiently modeling highly connected data structures to optimize for both query performance and scalability. Professionals must continuously evaluate indexing strategies and traversal queries to prevent bottlenecks as datasets grow. Another challenge is integrating graph databases with existing data pipelines or relational systems, which often requires specialized knowledge. However, these challenges offer opportunities to innovate and collaborate with cross-functional teams to deliver powerful solutions for complex data relationships.
What are popular job titles related to Graph Database jobs in Boston, MA? For Graph Database jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Graph Database jobs in Boston, MA look for? The top searched job categories for Graph Database jobs in Boston, MA are:
What cities near Boston, MA are hiring for Graph Database jobs? Cities near Boston, MA with the most Graph Database job openings:
Infographic showing various Graph Database job openings in Boston, MA as of May 2026, with employment types broken down into 1% As Needed, 43% Full Time, 12% Part Time, 4% Temporary, 39% Contract, and 1% Nights. Highlights an 35% Physical, 20% Hybrid, and 45% Remote job distribution, with an average salary of $120,035 per year, or $57.7 per hour.
AI Engineer II

AI Engineer II

Repligen

Waltham, MA • On-site

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Repligen rating

8.7

Company rating: 8.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Build and orchestrate multi-agent AI systems using state-of-the-art platforms, enabling agents to collaborate on task planning, data retrieval, and execution across complex business workflows.
Implement and continuously refine prompt engineering strategies, including prompt chaining, evaluation, and guardrails to improve accuracy and reliability
Build and maintain RAG (Retrieval-Augmented Generation) pipelines, including Data ingestion and indexing, Embedding generation, Retrieval optimization & Response grounding and validation
Development of scalable backend services using Python frameworks for data processing
Design and manage embedding pipelines and vector search infrastructure using tools such as Pinecone, FAISS, Weaviate, Databricks or Snowflake
Integrate LLM capabilities from platforms like OpenAI, Anthropic, and Microsoft into enterprise applications
Build and maintain scalable APIs and microservices to expose AI capabilities across systems and applications
Collaborate with data engineering and platform teams to ensure reliable data pipelines and access to high-quality data sources
Deploy, monitor, and optimize AI solutions in cloud environments (Azure, AWS, GCP), ensuring performance, scalability, and cost efficiency
Implement evaluation frameworks and monitoring for LLM outputs, including quality metrics, drift detection, and feedback loops
Own the administration, provisioning, and ongoing optimization of the enterprise AI tool ecosystem, ensuring secure access controls and optimal functionality for development teams
Troubleshoot and resolve issues in distributed AI systems, ensuring high availability and reliability
Partner with business stakeholders to translate requirements into AI-driven solutions and automation opportunities
Document architecture, design decisions, and best practices to support scalability and team adoption
  • Bachelor's degree in computer science, Statistics, Data Science, Information Systems or related field

  • 5+ years of experience with AI technologies, particularly GenAI, LLM, Agentic AI, or MLOps, and delivering enterprise-scale, production-grade solutions

  • Hands-on experience in building agentic AI systems, including multi-agent workflows, orchestration, and tool integration using frameworks such as AutoGen or CrewAI and failure handling

  • Experience deploying and scaling AI solutions on platforms including Azure AI Foundry, Copilot Studio, or Google Vertex AI

  • Hands-on experience in machine learning and deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.

  • Expertise in Generative AI and LLM application development using OpenAI and Anthropic APIs, including:

    • Advanced prompt engineering and optimization techniques

    • Design and implementation of Retrieval-Augmented Generation (RAG) architectures

    • Embeddings, semantic search, and contextual retrieval strategies

    • Experience with vector databases such as Pinecone, FAISS, Weaviate or AI data cloud platform such as Databricks or Snowflake

  • Strong background in API development, microservices architecture, and distributed systems, enabling scalable AI solution deployment

  • Experience with knowledge graphs, graph databases, or hybrid retrieval systems to enhance contextual reasoning and data relationships

  • Proficiency in Python programming

Experience deploying using CI/CD, infrastructure as code (Terraform), monitoring, debugging & managing AI/ML solutions in cloud environments AWS, Azure & GCP

Our mission is to inspire advances in bioprocessing as a trusted partner in the production of biologic drugs that improve human health worldwide. Focused on cost and process efficiencies, we deliver innovative technologies and solutions that help set new standards in bioprocessing. The estimated salary range for this role, based in the United States of America is $130,000-$200,000. Compensation decisions are dependent on several factors including, but not limited to an individual's qualifications, location, internal equity, and alignment with market data. Additionally, employees are eligible to participate in one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits such as paid time off, health/dental/vision, retirement benefits and flexible spending accounts. All compensation and benefits information will be confirmed in writing at the time of offer.