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Freelance Knowledge Graph Software Engineer Jobs in Florida

Cotality

Principal Software Engineer (Python)

Sunrise, FL · On-site +1

$128K - $172K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Semantic & Graph Expertise: Deep understanding of Knowledge Representation, Ontologies, and Graph ...

Centurion Consulting Group

Software Engineer

Tampa, FL

$155K - $175K/yr

Centurion is hiring a Software Engineer for a long term federal government project. This role is ... Application development, databases, PostgreSQL, MongoDB, milvus, redis, graph databases, neo4j ...

Worth AI

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... Strong software engineering skills in at least one language commonly used for data and services (e ...

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Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... Strong software engineering skills in at least one language commonly used for data and services (e ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... Strong software engineering skills in at least one language commonly used for data and services (e ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... Strong software engineering skills in at least one language commonly used for data and services (e ...

ReachMobi

Software Engineer

Bonita Springs, FL · On-site

What You Do We're looking for experienced Software Engineers to help us build high-quality ... Freelance? If you feel confident in your knowledge of mobile development and have experience ...

ReachMobi

Software Engineer

Bonita Springs, FL

What You Do We're looking for experienced Software Engineers to help us build high-quality ... Freelance? If you feel confident in your knowledge of mobile development and have experience ...

ReachMobi

Software Engineer

Bonita Springs, FL · On-site

What You Do We're looking for experienced Software Engineers to help us build high-quality ... Freelance? If you feel confident in your knowledge of mobile development and have experience ...

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Freelance Knowledge Graph Software Engineer information

What are the most commonly searched types of Knowledge Graph Software Engineer jobs in Florida? The most popular types of Knowledge Graph Software Engineer jobs in Florida are:
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Knowledge Graph & Ontology Engineer (AI Knowledge Representation)

Knowledge Graph & Ontology Engineer (AI Knowledge Representation)

iBusiness Funding LLC

Fort Lauderdale, FL • On-site

Full-time

Posted 11 hours ago

Job description

About iBusiness.ai
iBusiness.ai is a leading financial technology company transforming the way banks, credit unions, and lenders innovate. As a pioneer in secure AI, automation, and AI software development, iBusiness.ai builds infrastructure and platforms that empower financial institutions to modernize faster-without sacrificing compliance or security. Its technology enables seamless digital transformation across lending, banking, and customer experience systems, giving institutions the tools to compete and innovate at enterprise scale.
Join us and be part of a team that's transforming the finance industry and empowering businesses to thrive!
Position Description
We are seeking an experienced Knowledge Graph & Ontology Engineer to design, implement, and govern the knowledge representation layer for next-generation AI systems. This role builds the foundational knowledge structures-ontologies, semantic models, knowledge graphs, provenance, and data fusion patterns-that enable AI agents and LLM applications to reason over enterprise knowledge reliably. You will collaborate closely with Retrieval/Relevance engineering, AI researchers, and data engineering to ensure our knowledge is well-structured, consistent, explainable, and evolvable.
Major Areas of Responsibility
Knowledge Representation & Semantic Modeling
  • Develop and maintain ontologies, knowledge graphs, and semantic data models to structure and integrate domain knowledge for improved reasoning and downstream retrieval.
  • Define canonical entities, relationships, attributes, and constraints, including taxonomy/controlled vocabularies and semantic definitions.
  • Establish schema versioning, governance, and backward compatibility strategies to evolve the knowledge model safely.

Data Fusion & Knowledge Integration
  • Aggregate disparate knowledge bases and heterogeneous data into a fused, consistent representation with clear semantics and lineage.
  • Design integration patterns for structured + unstructured sources (e.g., documents → entities/relations) and maintain alignment across domains.

Provenance, Lineage, and Data Quality
  • Define and enforce provenance/lineage standards (source attribution, timestamps, confidence, auditability).
  • Collaborate with pipeline engineers to implement validation rules and quality gates for knowledge graph construction (e.g., integrity constraints, anomaly detection).
  • Cognitive Memory & Persistent Knowledge Structures (Representation View)
  • Design representation primitives that support cognitive memory architectures for AI agents (identity, episodic traces, persistent facts, context scoping).

Collaboration & Documentation
  • Partner with Retrieval/Relevance engineering to define metadata contracts and "safe traversal" semantics for graph-aware retrieval.
  • Maintain clear documentation of schemas, ontologies, knowledge modeling guidelines, and governance processes.
  • Evaluate and integrate new technologies and research in knowledge representation and semantic modeling.

Required Knowledge, Skills, and Abilities
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience).
  • Proven experience building knowledge graphs, semantic data models, and/or enterprise knowledge bases.
  • Experience with semantic technologies and standards (as applicable): RDF, OWL, SPARQL (or equivalent graph/ontology concepts).
  • Strong foundations in data modeling, entity resolution/canonicalization, and schema governance.
  • Proficiency in Python and working with data pipelines (in collaboration with data engineering).
  • Excellent analytical, problem-solving, and cross-functional communication skills.

Nice To Haves
  • Experience designing agent memory representations (episodic/semantic memory patterns, long-term context).
  • Familiarity with LLM grounding patterns (provenance, citations, trust signals).
  • Experience with graph databases and tooling (e.g., Neo4j/AWS Neptune equivalents).
  • Experience with data-centric AI and training data quality assessment.

Primary Ownership (What success looks like)
  • The knowledge model is correct, consistent, explainable, and governable.
  • High-quality entity resolution + clean relationships + strong provenance coverage.
  • Stable schemas that evolve without breaking downstream applications.

Conclusion:
This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities, or working conditions associated with the position.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, genetic information, or any other characteristic protected by law.

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