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Backend Ai Engineer Jobs in Tennessee (NOW HIRING)

OMNIA Partners LLC

AI/ML Engineer

Franklin, TN · On-site

$113K - $135K/yr

... engineers and architects dedicated to harnessing the power of AI for operational efficiency and ... Lead the architectural design and implementation of complex backend systems, taking early-stage ...

OMNIA Partners, Inc.

AI/ML Engineer RFP Radar

Franklin, TN · On-site

$90 - $120/hr

Lead the architectural design and implementation of complex backend systems, maturing early‑stage ... Act as a technical leader, staying current with emerging tools in data engineering and applied AI ...

AllianceBernstein

Senior AI Solutions Engineer

Nashville, TN · On-site

$53.25 - $68.75/hr

Experience building lightweight service layers or backend components for AI applications. Programming & Tooling * Proficiency in Python and/or TypeScript/JavaScript for AI application development.

AllianceBernstein

Senior AI Solutions Engineer

Nashville, TN · On-site

$53.25 - $68.75/hr

Experience building lightweight service layers or backend components for AI applications. Programming & Tooling * Proficiency in Python and/or TypeScript/JavaScript for AI application development.

AllianceBernstein

Senior AI Solutions Engineer

Nashville, TN · On-site

$53.25 - $68.75/hr

... backend components for AI applications. • Proficiency in Python and/or TypeScript/JavaScript for AI application development. • Familiarity with modern AI frameworks and SDKs (e.g., LangChain ...

Ookla

Software Engineer I - Backend

Memphis, TN · On-site

$85K - $125K/yr

Use LLM/AI tools to ramp up on codebases, complete boilerplate tasks, and assist with code completions. Job Requirements: * Bachelor's or Master's degree in Computer Science, Software Engineering, or ...

Ookla

Software Engineer I - Backend

Memphis, TN · On-site

Use LLM/AI tools to ramp up on codebases, complete boilerplate tasks, and assist with code completions. Job Requirements: * Bachelor's or Master's degree in Computer Science, Software Engineering, or ...

Ziff Davis

Software Engineer I - Backend

Memphis, TN · On-site

$85K - $125K/yr

Use LLM/AI tools to ramp up on codebases, complete boilerplate tasks, and assist with code completions. Job Requirements: * Bachelor's or Master's degree in Computer Science, Software Engineering, or ...

Ziff Davis

Software Engineer I - Backend

Memphis, TN · On-site

$85K - $125K/yr

Use LLM/AI tools to ramp up on codebases, complete boilerplate tasks, and assist with code completions. Job Requirements: * Bachelor's or Master's degree in Computer Science, Software Engineering, or ...

Ookla

Software Engineer I - Backend

Memphis, TN · On-site

$85K - $125K/yr

Use LLM/AI tools to ramp up on codebases, complete boilerplate tasks, and assist with code completions. Job Requirements: * Bachelor's or Master's degree in Computer Science, Software Engineering, or ...

Ookla

Software Engineer I - Backend

Memphis, TN

$85K - $125K/yr

Use LLM/AI tools to ramp up on codebases, complete boilerplate tasks, and assist with code completions. Job Requirements: * Bachelor's or Master's degree in Computer Science, Software Engineering, or ...

Ziff Davis, LLC

Software Engineer I - Backend

Memphis, TN · On-site

$85 - $125/hr

Use LLM/AI tools to ramp up on codebases, complete boilerplate tasks, and assist with code completions. Job Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, or ...

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Backend Ai Engineer information

What is a Backend AI Engineer?

A Backend AI Engineer is a software engineer who specializes in building and maintaining the server-side infrastructure for artificial intelligence applications. Their work involves designing APIs, integrating machine learning models, managing databases, and ensuring efficient data flow between systems. They collaborate with data scientists and frontend developers to deploy AI models at scale and make them accessible through robust backend services. Key skills for this role include programming (often in Python, Java, or similar languages), cloud computing, and knowledge of AI frameworks.

What are the key skills and qualifications needed to thrive as a backend AI engineer?

To thrive as a Backend AI Engineer, you need strong programming skills (especially in Python or Java), a deep understanding of algorithms and data structures, and a background in computer science or related fields. Familiarity with AI/ML frameworks (like TensorFlow or PyTorch), RESTful APIs, databases, and cloud platforms is typically expected, along with relevant certifications. Exceptional problem-solving abilities, teamwork, and effective communication are soft skills that distinguish top performers. These competencies are crucial for designing robust, scalable AI solutions that integrate seamlessly with backend systems and drive innovation.

What are some common challenges backend AI engineers face when deploying machine learning models to production?

Backend AI Engineers often encounter challenges such as ensuring model scalability, maintaining low latency, and handling diverse data inputs during deployment. Integrating models into existing backend systems can also require careful consideration of APIs, security, and resource management. Additionally, monitoring model performance and updating models with new data are ongoing responsibilities that require close collaboration with data scientists, DevOps, and product teams.

What is the difference between Backend Ai Engineer vs Data Scientist?

AspectBackend Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming, AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI into backend systems, collaborates with software teamsAnalyzes data, builds models, interprets data insights, collaborates with business teams
Industry UsageTech companies, AI startups, software firmsResearch institutions, tech companies, finance, healthcare
Common Search/ComparisonYesYes

While both roles involve working with AI and data, Backend Ai Engineers focus on integrating AI models into backend systems and developing scalable AI solutions. Data Scientists primarily analyze data, build predictive models, and generate insights. The roles often overlap in skills and tools but differ in their core focus—system integration versus data analysis.

What are popular job titles related to Backend Ai Engineer jobs in Tennessee?

For Backend Ai Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Backend Ai Engineer jobs in Tennessee look for?

The top searched job categories for Backend Ai Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Backend Ai Engineer jobs?

Cities in Tennessee with the most Backend Ai Engineer job openings:

Backend Ai Engineer jobs near you

AI/ML Engineer

OMNIA Partners LLC

Franklin, TN • On-site

$113K - $135K/yr

Full-time

Re-posted 13 days ago

Job description

OMNIA Partners has become the largest and most experienced purchasing organization for public and private sector markets by delivering unparalleled scale and solutions. Through further organic growth and strategic acquisitions, OMNIA Partners will continue to drive economies of scale to execute more contracts, in more verticals, with transparent, value-driven pricing for our membership of companies. Our success and growth have been unparalleled in this space.
At the core of our success is a high energy, talented staff with diverse skills and a unified focus on delivering value and an emphasis on creativity, strategic thinking, and execution.
Job Title
Senior Software Engineer (Intelligent Data Systems)
Location
Franklin, TN
Candidates must be legally authorized to work in the U.S. without sponsorship, now and in the future.
Open Position Summary - Senior Software Engineer
OMNIA Partners has become the largest and most experienced purchasing organization for public and private sector markets by delivering unparalleled scale and solutions. Through further organic growth and strategic acquisitions, OMNIA Partners will continue to drive economies of scale to execute more contracts, in more verticals, with transparent, value-driven pricing for our membership of companies. Our success and growth have been unparalleled in this space. OMNIA Partners is at the forefront of leveraging AI and data-driven solutions to enhance business operations and customer insights. We are committed to using cutting-edge AI/ML capabilities to improve data quality, automation and overall efficiency across the organization.
We are hiring a Senior Software Engineer to take the lead on designing and building the next generation of our data-driven products. In this role, you will bridge the gap between data science concepts and robust software engineering. You will be responsible for taking innovative ideas - often starting as proofs-of-concept - and architecting them into highly scalable, production-grade systems that drive immediate business impact.
Your primary focus will be building intelligent automation engines that can ingest vast amounts of unstructured data from the outside world, make autonomous decisions about that data using AI/ML and route actionable intelligence to our sales teams and partners. You will work closely with senior leadership to define technical strategy and join a talented team of engineers and architects dedicated to harnessing the power of AI for operational efficiency and growth.
Position Responsibilities:
  • System Architecture & Scaling: Lead the architectural design and implementation of complex backend systems, taking early-stage concepts and maturing them into resilient, high-load production environments.
  • Intelligent Data Acquisition: Develop robust strategies and systems for acquiring large volumes of data from diverse, often unstructured external sources, ensuring high data quality and reliability.
  • Applied AI/ML Integration: Design pipelines that integrate practical AI/ML models (such as text classification, NLP or scoring algorithms) to automate complex decision-making processes and enrich incoming data streams.
  • Data Pipeline Engineering: Build high-throughput data pipelines that ingest, validate, process and route data efficiently to downstream applications, data warehouses and third-party ecosystems.
  • Database Strategy: Optimize data storage and retrieval strategies for large-scale datasets across both relational databases and modern data warehouses.
  • Technology Evaluation: Act as a technical leader by staying current with emerging tools in data engineering and applied AI, recommending adoption where it enhances our capabilities.

Required Education and Skills:
  • Software Engineering Foundations: 5+ years of backend software engineering experience, with a strong track record of building data-intensive applications.
  • Python Proficiency: Expert-level proficiency in Python, with experience using it for both system building and data processing.
  • Handling Unstructured Data: Demonstrated experience building systems that interact with, ingest and structure messy or complex external data sources at scale.
  • Applied Machine Learning: Practical experience integrating Machine Learning into production software workflows. You don't need to be a research scientist, but you must know how to apply standard ML libraries (e.g., scikit-learn, spaCy, or similar) to solve practical problems like classification, entities extraction or scoring.
  • Database Expertise: Strong understanding of data modeling and performance tuning in relational databases and cloud data warehouses (preferably Snowflake).
  • API & Integration: Deep experience designing and consuming complex APIs to connect internal services with third-party data providers.
  • Cloud-Native Mindset: Experience building and deploying applications in cloud environments (AWS, GCP or Azure).

Preferred Qualifications:
  • Experience with containerized deployments (Docker/Kubernetes) and modern orchestration tools (e.g., Airflow, Celery).
  • Bachelor's or master's degree in computer science or a related technical field.

OMNIA Partners provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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