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Entry Level Ai Agent Developer Jobs in Tennessee

Smith and Wesson

AI Developer

Maryville, TN · On-site

We are seeking an AI Developer who can design and deliver enterprise-grade conversational AI ... by building orchestrated agent workflows using tool-calling, MCP servers, and enterprise ...

CGI Inc.

Software Developer - Entry Level

Knoxville, TN · On-site

$68K - $75K/yr

As an Entry Level Software Developer, you'll be part of a highly collaborative team working ... AI, cloud platforms, automation tools, or DevOps practices-based on project needs and team ...

Acara Solutions

A&P Mechanic

Nashville, TN

$27 - $39/hr

Follow FAA-approved maintenance procedures, OEM technical manuals, engineering data, and work ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

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Entry Level Ai Agent Developer information

What are Entry Level AI Agent Developers?

Entry Level AI Agent Developers are professionals who assist in designing, building, and maintaining artificial intelligence agents, such as chatbots or virtual assistants, often under the supervision of more experienced engineers. They typically work with programming languages like Python and use machine learning frameworks to help create intelligent systems that can interact with users or perform tasks autonomously. These roles are suited for those new to the field and often require a foundational understanding of AI concepts, basic coding skills, and a willingness to learn advanced topics on the job.

What are the key skills and qualifications needed to thrive as an Entry Level AI Agent Developer, and why are they important?

To thrive as an Entry Level AI Agent Developer, you need a solid understanding of programming languages (such as Python), basic machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), API integration, and version control systems (e.g., Git) is typically required. Problem-solving ability, eagerness to learn, and effective teamwork are standout soft skills for this role. These skills and qualities are vital for building, maintaining, and improving AI agents in a collaborative and rapidly evolving tech environment.

What are some typical projects or tasks an Entry Level AI Agent Developer can expect to work on during their first year?

As an Entry Level AI Agent Developer, you can expect to work on tasks such as building and fine-tuning conversational AI agents, assisting with data preprocessing, and implementing basic machine learning models under the guidance of senior engineers. You’ll likely contribute to updating or troubleshooting existing AI agents, performing code reviews, and writing test cases. Collaboration with data scientists, UX designers, and product managers is common, giving you exposure to the full development lifecycle and valuable opportunities to learn from experienced colleagues.

What is the difference between Entry Level Ai Agent Developer vs Data Analyst?

AspectEntry Level Ai Agent DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare sectors
Employer & Industry UsageDeveloping AI agents, chatbots, automation toolsInterpreting data, creating reports, supporting decision-making

Entry Level Ai Agent Developers focus on creating and refining AI agents and chatbots, often requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, typically with statistical skills. While both roles involve data and technology, they serve different functions within organizations. The choice depends on your interest in AI development versus data interpretation.

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Entry Level Ai Agent Developer jobs near you
Engineer, Backend Integration & AI Transformation

Engineer, Backend Integration & AI Transformation

Lifepoint Health

Brentwood, TN • On-site

Full-time

Posted 5 days ago

LifePoint Health rating

6.0

Company rating: 6.0 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

746th of 886 rated healthcare providers

Job description


EEOC Statement
"Lifepoint Health is an Equal Opportunity Employer. Lifepoint Health is committed to Equal Employment Opportunity for all applicants and employees and complies with all applicable laws prohibiting discrimination and harassment in employment."
You must be authorized to work in the United States without employer sponsorship.
WORK ENVIRONMENT AND TRAVEL REQUIREMENTS:
The position is: Remote
Travel Requirements: Less than 25%
POSITION SUMMARY:
The Backend Integration Engineer is the connective tissue of the AI Transformation team. This engineer builds and maintains the API infrastructure and system integrations that allow AI agents to interact with the organization's core enterprise platforms - including ServiceNow, Okta, ERP systems, and other business-critical tools. This role ensures that when an AI agent needs to take action in the real world, the pathways are secure, reliable, well-documented, and reusable.
This is a role for a solid backend developer who is excited to apply strong fundamentals in an AI-first context. Experience with enterprise platform APIs is a strong differentiator. Direct MCP server development experience is rare and not required - a willingness to become an internal expert is expected.
ESSENTIAL FUNCTIONS:
  • Design, build, and maintain RESTful and event-driven APIs that expose enterprise system capabilities to AI agents and agentic workflows in a secure and controlled manner.
  • Develop and maintain Model Context Protocol (MCP) server implementations that provide AI agents with structured, secure, and auditable access to enterprise tools, data sources, and services.
  • Build and manage integrations with key enterprise platforms including ServiceNow (workflow triggers, CMDB queries, ticket management), Okta (identity and access queries, group management), and ERP/financial systems.
  • Implement security controls for all integration endpoints: OAuth 2.0 / OIDC authentication, API gateway policies, rate limiting, input sanitization, payload validation, and comprehensive audit logging.
  • Collaborate with Agentic AI Engineers to define MCP tool specifications and ensure agents can reliably invoke enterprise actions with appropriate authorization checks and operational guardrails.
  • Maintain comprehensive API documentation and an integration catalog so the team can build on existing 'paved paths' rather than re-implementing integrations from scratch.
  • Monitor integration health, SLA adherence, and error rates; implement alerting and graceful degradation patterns so agent failures are isolated and recoverable.
  • Work with the AI governance team to ensure integration designs comply with data classification policies, access control requirements, and applicable regulatory standards.
  • Evaluate and onboard new enterprise system integrations as the team's scope of automation expands to additional business units and platforms.
  • Contribute to the team's security review process for agent tool definitions, ensuring tool permissions follow the principle of least privilege.

QUALIFICATION, EDUCATION, KNOWLEDGE, SKILLS:
The requirements listed below are representative of the knowledge, skills and/or abilities required.
EDUCATION:
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field preferred. Equivalent practical experience will be considered.
EXPERIENCE:
2-4 years of backend software development or systems integration experience. Experience with enterprise platform APIs (ServiceNow, Okta, Microsoft 365, or ERP systems) is a strong plus. Candidates with strong API and backend fundamentals who demonstrate genuine enthusiasm for AI-driven automation will be considered.
KNOWLEDGE, SKILLS & ABILITIES:
  • Proficiency in at least one backend language - Python strongly preferred; Node.js or Java acceptable.
  • Strong understanding of REST API design principles, authentication and authorization patterns (OAuth 2.0, OIDC, API keys, JWT), and API gateway configuration.
  • Experience consuming and integrating with enterprise platform APIs (ServiceNow, Okta, Microsoft Graph, SAP, or similar).
  • Knowledge of Model Context Protocol (MCP) or ability and enthusiasm to rapidly learn and implement MCP server patterns - a key skill for this team.
  • Security-first development mindset: input validation and sanitization, secure credential handling and rotation, least-privilege API scoping, audit logging, and OWASP API Security Top 10 awareness.
  • Familiarity with Azure API Management, Azure Functions, Azure Service Bus, or similar Azure integration and serverless platform services.
  • Understanding of event-driven architecture, webhook patterns, and asynchronous integration approaches.
  • Experience with version control (Git), code review practices, and collaborative development workflows.
  • Ability to write clear, accurate API documentation and integration specifications that other engineers can build on.
  • Genuine curiosity about AI agents and automation - understanding of how MCP tools are invoked by LLMs is a significant plus.

CERTIFICATIONS/LICENSURE:
Microsoft Azure Developer Associate (AZ-204) preferred. ServiceNow Certified System Administrator (CSA) or Okta certifications are a strong plus. OWASP API Security awareness desirable.
About Us
Lifepoint Health is a leader in community-based care and driven by a mission of Making Communities Healthier. Our diversified healthcare delivery network spans 29 states and includes 63 community hospital campuses, 32 rehabilitation and behavioral health hospitals, and more than 170 additional sites of care across the healthcare continuum, such as acute rehabilitation units, outpatient centers and post-acute care facilities. We believe that success is achieved through talented people. We want to create places where employees want to work, with opportunities to pursue meaningful and satisfying careers that truly make a difference in communities across the country.
About the Team
We employ and provide care to people from all walks of life. We are committed to promoting healing, providing hope, preserving dignity and producing value with an inclusive workforce in which diversity is leveraged, respected, and reflective of the patients, family members, customers and team members we serve.

What LifePoint Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

LifePoint Health logo

About LifePoint Health

Sourced by ZipRecruiter

Lifepoint Health serves patients, clinicians, communities and partners across the healthcare continuum. Our diversified healthcare delivery network extends from coast to coast, consisting of community hospitals, rehabilitation and behavioral health hospitals, and additional sites of care.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Brentwood, TN, US

Year founded

1999

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