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Contract Knowledge Graph Software Engineer Jobs in Sarasota, FL

Participate in code reviews to ensure code quality and knowledge sharing. * Troubleshoot and debug ... Solid understanding of software engineering principles and best practices. * Experience with at ...

Demonstrate knowledge of several core technologies used within the platform. For example: Spring ... Computer Engineering * 1-3 years of related experience in software development or product ...

Software Engineer I

Saint Petersburg, FL · On-site

$90K - $100K/yr

Demonstrate knowledge of several core technologies used within the platform. For example: Spring ... Computer Engineering * 0-3 years of related experience in software development or product ...

We are seeking a Software Engineer II to join our team. This is a hybrid opportunity based out of ... Demonstrate knowledge of several core technologies used within the platform. For example: Spring ...

We are seeking a Software Engineer II to join our team. This is a hybrid opportunity based out of ... Demonstrate knowledge of several core technologies used within the platform. For example: Spring ...

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Contract Knowledge Graph Software Engineer information

See Sarasota, FL salary details

$61.2K

$142.2K

$198K

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

As of Aug 22, 2026, the average yearly pay for contract knowledge graph software engineer in Sarasota, FL is $142,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $166,700.00 per year, depending on experience, location, and employer.

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?

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.

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 cities near Sarasota, FL are hiring for Contract Knowledge Graph Software Engineer jobs?

Cities near Sarasota, FL with the most Contract Knowledge Graph Software Engineer job openings:

AI/ML Software Engineer with Security Clearance

MRSL Real-Time Systems Laboratory, Inc

Sarasota, FL • On-site

Other

Re-posted 12 days ago


Job description

Job Duties: You will be responsible for designing, developing, and implementing AI/ML solutions for a wide range of decision-making and SIGINT processing needs. This includes working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems. You will work with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring performant processing while considering aspects of accuracy, security, and maintainability. This also includes enabling autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments, and discovering features and inferring system states from the underlying data streams. You will work towards solutions for large-scale sensing systems, implementing tailored models deliver intelligent insights in support of critical Intelligence Community and Department of Defense missions. AI/ML Software Engineer for Signal Processing Applications Requirements: We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing. The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running. Required Minimum Qualifications: TS/SCI active clearance required. U.S. Citizenship required BS degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or related field Minimum 1-year hands-on experience in AI or ML in a professional environment (3-5 years preferred) Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.) Solid programming background with experience using statistical and signal analysis libraries Experience with neural network architectures including deep learning models Understanding of transformer architectures and attention mechanisms Strong understanding of MLOps, deployment and processing pipelines, testing/validation Nice to have, but not required: Understanding of digital signal processing fundamentals Experience with RFML Experience with Large Language Models (LLMs) including fine-tuning and prompt engineering Knowledge of AI applications for autonomous decision-making and analysis Additional consideration for experience with multimodal, agentic systems using RAG, COT, or MARL approaches Experience with reinforcement learning, human feedback, and related system learning methods Experience creating and deploying containerized AI models with Docker/Kubernetes Working with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI) Experience with model monitoring, A/B testing, and performance optimization Experience with real-time inference systems and low-latency model serving Knowledge of adversarial ML and AI security/robustness techniques Experience with graph neural networks for network analysis Experience in design, deployment, support of AI or ML model for significant real-world applications About the Organization MRSL is an employee-owned company with its headquarters in Sarasota, FL. MRSL also has offices in Monterey, CA and Dayton, OH as well as several employees located at customer facilities in the US and around the globe. MRSL has deep experience in signal processing application and common services development for the National agencies of the Intelligence Community (IC) and the Department of Defense. We develop and deploy multiple applications and system infrastructures for use in client mission operations. MRSL specializes in the development of mission-oriented signal processing algorithms, applications, and associated services for our customers. MRSL excels in the design, development, and deployment of signal processing applications using the X-Midas framework, since we evolve and sustain this framework for the entire community of the IC contractors. MRSL employs engineers and researchers who specialize in cutting-edge signal processing technologies, system and software design, life cycle support, signal analysis, communications and software development. MRSL proudly offers highly competitive wages and benefits. We offer a business casual atmosphere with a team-oriented environment. MRSL is looking for candidates with a solid academic background in engineering/science with good hands-on programming skills, a high degree of drive and dedication, ability to learn quickly and who works well with others. To apply go to www.mrsl.com and select Careers.