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Contract Knowledge Graph Software Engineer Jobs in Boston, MA

Anduril Industries

GNC Senior Software Engineer

Waltham, MA

$132K - $174K/yr

Proficiency in algorithm design, software development, and mathematical modeling with programming ... Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling ...

Anduril Industries

GNC Senior Software Engineer

Waltham, MA

$132K - $174K/yr

Proficiency in algorithm design, software development, and mathematical modeling with programming ... Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling ...

Anduril Industries

GNC Senior Software Engineer

Waltham, MA

$132K - $174K/yr

Proficiency in algorithm design, software development, and mathematical modeling with programming ... Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling ...

Anduril Industries

GNC Senior Software Engineer

Waltham, MA · On-site

$132K - $174K/yr

Proficiency in algorithm design, software development, and mathematical modeling with programming ... Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling ...

Lila Sciences

Senior Software Engineer, App

Cambridge, MA

$133K - $176K/yr

Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means ... Applied AI Engineering: Experience building with AI agents, graph-based workflows, tool-use ...

Lila Sciences

Senior Software Engineer, App

Cambridge, MA

$133K - $176K/yr

Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means ... Applied AI Engineering: Experience building with AI agents, graph-based workflows, tool-use ...

Winaxis

Software Engineer

Boston, MA · On-site

... knowledge of relational databases, SQL and ORM technologies (JPA2, Hibernate) Experience developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC) Experience ...

Samprasoft

Software Engineer

Boston, MA

Java Software Developer Location: Boston, MA Duration: Long Term Contract We need someone with strong Java 8, Spring Boot/Batch experience and NoSQL databases experience * Experience working with ...

STR

Senior Software Engineer

Woburn, MA · On-site +1

$140K - $170K/yr

Our portfolio spans trusted AI, Command & Control (C2), graph-based reasoning, autonomous systems ... As a Senior Software Engineer at STR, you will support the design and implementation of flexible ...

anduril

Software Engineer

Boston, MA

Software Engineer Boston, Massachusetts, United States Anduril Industries is a defense technology ... Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a ...

STR

Lead Software Engineer

Woburn, MA · On-site +1

$175K - $215K/yr

Our portfolio spans trusted AI, Command & Control (C2), graph-based reasoning, autonomous systems ... As a Senior Software Engineer at STR, you will support the design and implementation of flexible ...

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All JobsContract Knowledge Graph Software Engineer JobsContract Knowledge Graph Software Engineer Jobs in Boston, MA

Contract Knowledge Graph Software Engineer information

See Boston, MA salary details

$69K

$160.3K

$223.3K

How much do contract knowledge graph software engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for contract knowledge graph software engineer in Boston, MA is $160,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,400.00 and $187,900.00 per year, depending on experience, location, and employer.

How does a Contract Knowledge Graph Software Engineer typically collaborate with data scientists and domain experts during a project?

As a Contract Knowledge Graph Software Engineer, you’ll often work closely with data scientists and domain experts to ensure that the knowledge graph accurately represents the underlying data and business logic. Collaboration usually involves regular meetings to clarify requirements, discuss data models, and review results. You may be tasked with translating complex domain concepts into graph structures, while also providing feedback on data quality and integration challenges. This cross-functional teamwork ensures that the final product meets both technical standards and business needs.

What is the difference between Contract Knowledge Graph Software Engineer vs Contract Data Engineer?

AspectContract Knowledge Graph Software EngineerContract Data Engineer
Required CredentialsBachelor's in CS or related, knowledge of graph databases, programming skillsBachelor's in CS, experience with data pipelines, SQL, and cloud platforms
Work EnvironmentTech companies, consulting firms, project-based rolesData-focused teams, cloud environments, analytics projects
Industry UsageAI, semantic web, knowledge managementData warehousing, big data, analytics

The Contract Knowledge Graph Software Engineer primarily focuses on developing and maintaining knowledge graphs using graph databases and semantic technologies, while the Contract Data Engineer concentrates on building data pipelines, managing large datasets, and supporting analytics. Both roles require strong programming skills and are often found in tech-driven industries, but they serve different core functions within data and knowledge management ecosystems.

What is a Contract Knowledge Graph Software Engineer?

A Contract Knowledge Graph Software Engineer is a professional who specializes in designing, developing, and maintaining knowledge graphs on a contract basis. Knowledge graphs are data structures that represent relationships between entities, enabling more effective data integration and semantic search. These engineers often work with graph databases, semantic web technologies, and ontologies to help organizations manage and leverage complex data. Their contract role means they are typically hired for specific projects or fixed periods rather than as permanent employees.

What are the key skills and qualifications needed to thrive as a Contract Knowledge Graph Software Engineer, and why are they important?

To thrive as a Contract Knowledge Graph Software Engineer, you need a strong background in computer science, proficiency in graph databases (such as Neo4j or Amazon Neptune), and experience with knowledge representation and data modeling. Familiarity with programming languages like Python or Java, as well as tools for semantic web technologies (RDF, SPARQL), is typically required. Strong problem-solving skills, adaptability, and effective collaboration are essential soft skills in this role. These competencies ensure efficient design and implementation of complex knowledge graphs, enabling organizations to unlock valuable insights from their data.
What are the most commonly searched types of Knowledge Graph Software Engineer jobs in Boston, MA? The most popular types of Knowledge Graph Software Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Contract Knowledge Graph Software Engineer jobs? Cities near Boston, MA with the most Contract Knowledge Graph Software Engineer job openings:
Contract Knowledge Graph Software Engineer jobs near you
Infographic showing various Contract Knowledge Graph Software Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $160,270 per year, or $77.1 per hour.

Senior Software Engineer, AI/ML

Datalign Advisory, Inc.

Cambridge, MA • On-site

$133K - $175K/yr

Full-time

Posted 9 hours ago

Job description

About Datalign
Datalign Advisory is a Cambridge-based fintech building the comprehensive AI-native platform for how Americans find, evaluate, and work with financial advisors - and how advisors grow. Our platform spans five products: curated lead generation, GEOsAI geographic intelligence, RelationshipAI prospect insights, Halo consumer engagement, and a customizable agentic AI layer for advisory firms.
Most companies in this space pick one lane - they're a matching platform, or a CRM enrichment vendor, or a scheduling tool. We're building the integrated infrastructure layer underneath all of it, powered by a proprietary knowledge graph of 200M+ Americans.
We've served 100,000+ consumers, referred $80B+ in assets to 13,000+ advisors, won Financial Advisory Platform of the Year at the 2026 FinTech Breakthrough Awards, and recently opened our compliance-by-design agentic AI platform to advisory firms across the industry. We're small, we move fast, and the problem space is genuinely hard.
Please note: We are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office.
The Role
We're looking for Senior Software Engineers with deep AI/ML expertise to join a small, high-impact engineering team. This is a hands-on technical leadership role. You'll architect and build the AI systems that power our advisor-facing and consumer-facing products, working directly with the CTO and product leads to bring ambitious ideas from whiteboard to production.
If you're energized by real-world AI problems, thrive in a startup-pace environment, and want to see your work directly shape outcomes for financial advisors and the clients they serve, then this is your role.
What You'll Do
  • Set Direction: Lead the design, architecture, and implementation of AI/ML systems powering Datalign's core products, including Halo (our agentic AI framework) and RelationshipAI
  • Collaborate: Work closely with product, design, and data teams to turn ambiguous business problems into measurable, shippable AI capabilities
  • Deliver: Build and scale LLM systems including retrieval-augmented generation (RAG), tool use/function calling, multi-agent orchestration, and real-time inference services
  • Keep It Secure: Implement reliability, safety, and security guardrails for AI products, including PII handling/redaction, access controls, prompt-injection defenses, auditability, and pragmatic human-in-the-loop workflows where needed
  • Innovation: Contribute to evolution of our engineering practice with the rapid adoption of AI tools in software development
  • Culture: Mentor other engineers and help build a culture of technical excellence, curiosity, and rapid execution

What You Bring
Required
  • 7+ years of software engineering experience, including experience building and operating production AI/ML or LLM-powered systems
  • Proven ability to lead technical projects end-to-end with high autonomy and low oversight
  • Bachelor's degree in Computer Science or a related field. Masters preferred
  • Strong experience working in Python. Additional experience with TypeScript and/or Go is a plus
  • Hands-on experience shipping LLM applications in production (e.g., RAG, tool use/function calling, agentic workflows, fine-tuning/LoRA where appropriate)
  • Strong foundation in distributed systems and cloud infrastructure (AWS preferred), including building scalable inference/services and production observability (logs, metrics, traces)
  • Strong communication and product sense: you can explain tradeoffs (quality vs latency vs cost vs risk) and align technical work to business goals

Preferred
  • Experience in fintech, wealth management, or other regulated environments; comfort partnering with compliance/legal on data and AI controls
  • Track record of shipping software in fast-moving, resource-constrained startup environments with high ownership
  • Experience with AI security/safety practices: prompt-injection resistance, data exfiltration prevention, policy enforcement, and audit logging
  • Familiarity with building systems that have high-signal feedback loops from user behavior

Why Datalign
  • Direct impact - your work will be seen and felt by advisors and clients from day one
  • Seat at the table - small team means your voice and decisions really matter
  • Mission-driven - we're democratizing access to quality financial guidance
  • Competitive compensation with equity - we're building something that will be worth owning a piece of
  • Flexible hybrid environment in Kendall Square, one of the world's great innovation hubs
  • Backed and supported by the Link Ventures ecosystem

Apply