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Api Python Jobs in Tennessee (NOW HIRING)

SENIOR AI ENGINEER (ONSITE ROLE)

Memphis, TN · Hybrid

$119.20K - $157.10K/yr

NET application code the majority of the time, but you'll also write Python for data work, SQL for ... LLM integration work - production-grade Anthropic (and possibly OpenAI) API usage. Prompt design ...

SENIOR AI ENGINEER (ONSITE ROLE)

Memphis, TN · Hybrid

$119.20K - $157.10K/yr

NET application code the majority of the time, but you'll also write Python for data work, SQL for ... LLM integration work - production-grade Anthropic (and possibly OpenAI) API usage. Prompt design ...

... API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable ... Preferred Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI. Google Cloud ...

GCP Data Engineer

Nashville, TN · On-site

$110.60K - $132.80K/yr

... o API Development o Apigee o Python FastAPI Framework o Spark Streaming, Kafka o SQL, JSON, Avro, Parquet o Java, Python, or Scala Certifications (a plus, but not required): • GCP Cloud ...

Staff QA Engineer, APIs

Brentwood, TN · On-site

$160K - $180K/yr

Own API quality strategy. Define and execute the testing approach for our Python-based backend services, event-driven workflows, and integration points. * Build test automation at scale. Design and ...

Snowflake Data Engineer (AWS)

Nashville, TN · Remote

$110.60K - $132.80K/yr

Python / PowerShell * Experience with API integrations (RESTful) * Strong in data ingestion, transformation, validation Plus: * Healthcare / Public Health data experience * SSAS / SSMS exposure * BI ...

Staff Backend Engineer

Brentwood, TN · On-site

$180K - $210K/yr

Deep, production-level experience in Python * Experience designing and evolving distributed systems * Strong API design and data modeling skills * Experience owning systems end-to-end (design → ...

Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI ... Experience with object-oriented programming using languages such as Java, Python, or JavaScript ...

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Showing results 1-20

Api Python information

What are the key skills and qualifications needed to thrive as an API Python Developer, and why are they important?

To thrive as an API Python Developer, you need a solid understanding of Python programming, RESTful API design, and experience with frameworks like Flask or Django, often supported by a degree in computer science or related field. Familiarity with version control systems like Git, API testing tools such as Postman, and containerization platforms like Docker is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top developers apart. These skills ensure robust, secure, and scalable API solutions that meet business requirements and facilitate seamless collaboration within development teams.

What are some common challenges faced by API Python developers when integrating third-party services, and how can they be addressed?

API Python developers often encounter challenges such as inconsistent documentation, rate limiting, and unexpected changes in third-party APIs. To address these, it's important to thoroughly read and test API documentation, implement robust error handling and retry logic, and use environment variables or configuration files to manage sensitive credentials. Developers should also stay updated on API version changes and participate in relevant developer communities to share solutions and best practices.

What is an API Python developer?

An API Python developer is a software professional who specializes in creating, implementing, and maintaining Application Programming Interfaces (APIs) using the Python programming language. Their main responsibilities include designing RESTful or GraphQL APIs, integrating third-party services, ensuring secure and efficient data exchange, and writing clean, scalable code. API Python developers often work closely with front-end developers and other back-end engineers to support seamless communication between different parts of a software system.

Can Python make API calls?

Python can make API calls using libraries such as requests or http.client, which allow developers to send HTTP requests and handle responses. As an API developer or Python programmer, understanding how to work with these libraries is essential for integrating external services or data sources into applications.

What is the difference between Api Python vs Data Analyst?

AspectApi PythonData Analyst
Required SkillsPython programming, API integration, data manipulationData visualization, statistical analysis, Excel, SQL
Work EnvironmentSoftware development, backend services, data pipelinesBusiness insights, reporting, data interpretation
Common EmployersTech companies, startups, data-driven organizationsFinance, marketing, consulting firms

Api Python focuses on developing and maintaining APIs using Python, emphasizing coding and technical skills. Data Analysts interpret data to provide business insights, often using tools like Excel and SQL. While Api Python roles are more technical and development-oriented, Data Analysts focus on analyzing data to support decision-making. Both roles may overlap in data handling but serve different primary functions within organizations.

What are popular job titles related to Api Python jobs in Tennessee? For Api Python jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Api Python jobs in Tennessee look for? The top searched job categories for Api Python jobs in Tennessee are:
AI Developer II

Full-time

Posted 19 days ago


Job description

Note: Onsite/Non-Remote in Maryville, TN. To be considered you must live in a commutable distance to Maryville, TN. If you live outside of a commutable distance, your willingness to relocate must be listed at the top of your resume or within a cover letter.

We are seeking an AI Developer who can design and deliver enterprise-grade conversational AI (chatbots/assistants) and agentic AI (autonomous or semi-autonomous agents that plan and execute tasks). This role will build AI solutions using a mix of low-code platforms and pro-code development (e.g., Python), integrate with internal systems (APIs, databases, .NET apps), and implement Retrieval-Augmented Generation (RAG) patterns for secure, grounded enterprise responses.

You will also help modernize automation by extending RPA workflows with AI capabilities (classification, extraction, decision support, conversational front-ends), and by building orchestrated agent workflows using tool-calling, MCP servers, and enterprise integration patterns.

COMPETENCIES AND SKILLS:

  • Hands-on development experience building AI experiences (chatbots, assistants, or agents).
  • Ability to deliver using low-code tools and pro-code, including Python (preferred) and REST APIs.
  • Strong understanding of:
  • Conversational AI design (dialog patterns, user experience, prompts)
  • Agentic AI concepts (planning, tool use, autonomy boundaries, guardrails)
  • RAG fundamentals and implementation patterns
  • Experience integrating with enterprise systems: APIs, SQL, data services, authentication/authorization.
  • Understanding of basic software engineering disciplines: source control, testing, environments, CI/CD, reliability.
  • Proficiency in Python and other applicable programming languages.
  • Understanding of governance/compliance for enterprise AI (PII handling, audit trails, model risk practices).
  • Good knowledge of API handling (both SOAP and RESTful) is a plus
  • Strong knowledge of Error reporting techniques, exception handling procedures is a plus
  • Good understanding of Dev, QA and Prod environments and the ability to promote code across the landscapes is required
  • Experience in one or more of the following is a plus:
  • Power Platform / Copilot Studio
  • Azure AI services, OpenAI-compatible APIs, or comparable stacks
  • RPA platforms (UiPath / Power Automate / Blue Prism)

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Build and maintain chatbots using low-code (e.g., Copilot Studio / Power Platform / other) and/or pro-code (Python-based frameworks).
  • Design conversation flows: intents, entities, prompts, dialog management, fallback strategies, escalation to human support.
  • Implement enterprise controls: grounding, citations, safety filters, logging, and user experience patterns.
  • Understand and apply the difference between:
    • Conversational AI: primarily dialogue-driven Q&A and guided flows.
    • Agentic AI: goal-driven systems that plan, call tools, and complete multi-step tasks.
  • Build agents that can:
    • Call APIs and internal services
    • Execute business workflows
    • Use tools (search, data retrieval, ticketing, approvals) safely with governance controls
  • Integrate knowledge sources: SharePoint, files, databases, internal wikis, ticketing systems, and line-of-business apps.
  • Integrate AI capabilities into internal applications (especially .NET ecosystems).

QUALIFICATIONS:

  • 2+ years experience delivering production ready chatbots connected to Enterprise systems, or 2 years of AI experience plus 5+ years of .Net.
  • Prompt engineering.
  • LLM model tuning.
  • Professional communications skills, both verbal and written. Good team player.
  • Manage personal workload and work under tight timeframes.
  • Must be able to work independently with minimal supervision.
  • Bachelor's degree in Computer Science, Engineering, or a related field preferred.

PHYSICAL DEMANDS:

  • Occasional: bending, kneeling, squatting, standing, walking, reaching, overhead reaching, and fine motor skills

WORK ENVIRONMENT:

  • Normal office environment and office lighting
  • Within the Smith & Wesson manufacturing facility employees may be exposed to manufacturing noise, airborne liquid chemicals, fine particulate dust, ambient temperatures, and industrial lighting
  • All employees are required to apply ergonomic correctness to all job tasks

Updated 4/29/26