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Relational Ai Jobs (NOW HIRING)

AssetWorks LLC

AI / ML Engineer

Wayne, PA · On-site

Strong proficiency in PostgreSQL (or other relational databases) , including experience with relational schema design and ideally pgvector for managing vector embeddings. * Azure AI Ecosystem:

AssetWorks

AI / ML Engineer

Wayne, PA · On-site +1

Strong proficiency in PostgreSQL (or other relational databases) , including experience with relational schema design and ideally pgvector for managing vector embeddings. * Azure AI Ecosystem:

Instant Serve LLC

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

AI Data Engineer Location: Moline,IL Pay Rate:USD$ 60 .00 $ 65 .00 /hr.with benefits Key ... Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server ...

Whiztek Corp

AI Engineer

Chicago, IL · Hybrid

Manage complex state transitions and data flows between relational databases (AWS Neptune - Graph Db), vector stores (OpenSearch), and distributed caches (Redis). * API & Protocol Mastery: Define ...

Valsoft Corporation

AI Developer - USA

Solid understanding of REST APIs and relational databases * Experience using AI coding assistants (Cursor, Copilot, Claude, ChatGPT) as part of your daily workflow * Comfortable owning features end ...

Bigbear.ai

Database Engineer

Annapolis Junction, MD · On-site

BigBear.ai is seeking a Database Engineer (DBE) to join our team and support the development and ... Familiarity with relational and non-relational databases, including Oracle, Postgres, MongoDB, and ...

ORBIS Inc

$95K - $125K/yr

AI Lead Engineer This is an On-site position in Charleston, SC. Position Overview We are seeking an ... Data storage systems (relational and non-relational databases) * Interest or experience in defense ...

Intraedge

Java Developer with AI Experience

Phoenix, AZ · Hybrid

$50.75 - $65.50/hr

Java Developer with AI Experience Location: Phoenix, AZ (Day 1 onsite Hybrid 3 days a week in ... Experience with relational databases (PostgreSQL). Experience with NoSQL databases (MongoDB). Solid ...

RWJBarnabas Health

AI Data Engineer II

Oceanport, NJ · On-site

$115K - $138K/yr

... non-relational data sources, and unstructured document/content inputs. • Experience with model evaluation, testing, prompt / workflow iteration, monitoring, and continuous improvement of AI ...

Saviance

Senior Software Engineer - AI / Java

Boston, MA · Hybrid

$135K - $178K/yr

Build and maintain scalable, secure, and performant Java applications using Spring Boot, REST APIs, relational and NoSQL databases * Architect and integrate AI-driven microservices and RAG-based ...

Crew Training International

Junior AI Developer

Memphis, TN · On-site

$59K - $77K/yr

... relational data, and the ability to experiment, evaluate, and iterate toward scalable, cost ... AI features. Required Skills: * Proficiency in Python, including experience with modern practices ...

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Relational Ai information

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$40.5K

$150.9K

$265K

How much do relational ai jobs pay per year?

As of Jun 9, 2026, the average yearly pay for relational ai in the United States is $150,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $164,500.00 per year, depending on experience, location, and employer.

How does a Relational AI Engineer typically collaborate with data scientists and business stakeholders on projects?

A Relational AI Engineer works closely with data scientists to design and optimize data models, ensuring that advanced analytics and machine learning workflows are both efficient and scalable. They also interact frequently with business stakeholders to understand requirements and translate them into actionable data solutions. Collaboration often involves regular cross-functional meetings, shared project management tools, and iterative feedback cycles to refine data products. This collaborative environment helps ensure that solutions are both technically robust and aligned with business goals.

What are the key skills and qualifications needed to thrive as a Relational AI Engineer, and why are they important?

To thrive as a Relational AI Engineer, you need a strong background in computer science, relational databases, and machine learning concepts, often supported by a relevant degree. Familiarity with SQL, relational database management systems (RDBMS), Python, and AI/ML frameworks like TensorFlow or PyTorch is typically required. Analytical thinking, problem-solving skills, and effective communication are crucial soft skills for collaborating with teams and translating business needs into technical solutions. These skills and qualities are essential for designing and deploying intelligent systems that leverage relational data to drive meaningful business outcomes.

What is a Relational AI Engineer?

A Relational AI Engineer is a professional who designs, develops, and maintains artificial intelligence systems that utilize relational data models. They focus on leveraging structured data and relationships within databases to create intelligent applications, often using advanced machine learning and knowledge graph technologies. These engineers work closely with data scientists and analysts to build scalable AI solutions that enhance data connectivity and reasoning. Their role is crucial in organizations that rely heavily on complex data relationships, such as finance, healthcare, and enterprise software.

What is the difference between Relational Ai vs Data Analyst?

AspectRelational AiData Analyst
Required CredentialsBackground in AI, machine learning, programming (Python, SQL)Degree in statistics, data science, or related field
Work EnvironmentTech companies, AI research labs, software developmentBusiness, finance, healthcare, and other industries
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding AI-focused roles, skills, and toolsAnalyzing data, generating reports, insights

Relational Ai primarily focuses on developing and implementing AI systems that understand and process relational data, often requiring programming and machine learning expertise. Data Analysts interpret data to provide business insights, using statistical tools and data visualization. While both roles work with data, Relational Ai is more technical and AI-driven, whereas Data Analysts focus on data interpretation and reporting.

More about Relational Ai jobs
What cities are hiring for Relational Ai jobs? Cities with the most Relational Ai job openings:
What states have the most Relational Ai jobs? States with the most job openings for Relational Ai jobs include:
What job categories do people searching Relational Ai jobs look for? The top searched job categories for Relational Ai jobs are:
Relational Ai jobs near you
Infographic showing various Relational Ai job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $150,928 per year, or $72.6 per hour.
AI / ML Engineer

AI / ML Engineer

AssetWorks LLC

Wayne, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Job Summary:
About the Role
We are looking for a Senior Full-Stack Developer to lead the technical realization of our generative AI roadmap. In this role, you won't just be using AI to write code; you will be building the AI systems that power our enterprise. You will design and deploy intelligent agents, orchestrate complex workflows, and fine-tune models to solve real-world asset management challenges.
Our philosophy is centered on human-augmentation. You will build tools that enhance expert judgment through sophisticated Agentic workflows, ensuring our AI implementations are scalable, secure, and execution-focused.
Job Description:
What You'll Do
  • Architect Agentic Workflows: Design and implement multi-agent systems and autonomous workflows using flow-based orchestration and chain-of-thought reasoning.
  • Database & Vector Management: Manage enterprise data and high-dimensional vector embeddings within PostgreSQL, ensuring efficient retrieval for RAG (Retrieval-Augmented Generation) pipelines.
  • LLM Integration & Optimization: Lead the integration of LLMs via Azure OpenAI, focusing on prompt engineering, model parameter tuning, and performance monitoring.
  • Fine-Tuning: Identify opportunities where fine-tuning specific models can improve domain-specific performance and lead the data preparation and execution process.
  • System Orchestration: Build and manage AI middleware that connects LLMs to PostgreSQL, enterprise data sources, and third-party APIs.
  • Technical Leadership: Create playbooks for AI development and mentor the team on LLM best practices, ensuring AI-generated outputs meet rigorous accuracy standards.

What We're Looking For
Required:
  • AI Specialization: 1+ years of experience building AI-powered applications, with a deep understanding of LLM capabilities, limitations, and prompt engineering.
  • Agentic Frameworks: Proven experience building AI Agents (e.g., using orchestration frameworks, LangChain, or flow-based visual programming tools).
  • Database Expertise: Strong proficiency in PostgreSQL (or other relational databases), including experience with relational schema design and ideally pgvector for managing vector embeddings.
  • Azure AI Ecosystem: Proficiency in the Azure environment, specifically Azure OpenAI Service and Azure App Services.
  • Model Fine-Tuning: Hands-on experience preparing datasets and executing the fine-tuning of open-source or proprietary models.
  • Core Engineering: Strong background in C#/.NET, ensuring AI features are built on a stable, enterprise-grade backend.

Nice to Have:
  • Azure cloud experience (App Services, Functions, SQL Database, Vector Databases)
  • Familiarity with Python for AI prototyping and data manipulation.
  • Experience with microservices architecture
  • Knowledge of AI security, specifically mitigating prompt injection and ensuring data privacy in RAG.
  • Familiarity with monorepo tooling
  • Experience mentoring or leading other developers

Benefits:
  • Generous Paid Time Off
  • 11 Paid Holidays
  • Medical, Dental, Vision, Life insurance benefits with various choices and generous employer contribution
  • 401k with employer match which immediately vests
  • Annual Company Bonus
  • Career growth and mentoring opportunities as a smaller business unit within the Volaris Group
  • Tuition Reimbursement Program
  • Employee rewards and recognition programs
  • Optional Employee Stock Purchase Program with company match
  • Pet insurance
  • Employee Discount Platform discounted entertainment tickets to movies, sporting events, hotels, live performances, etc.
  • Referral bonuses
  • Employee engagement events
  • Flexible remote work arrangements

Worker Type:
Regular
Number of Openings Available:
1

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