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Api Developer With Python information
How does an API Developer with Python typically collaborate with front-end developers during a project?
What are the key skills and qualifications needed to thrive as an API Developer with Python, and why are they important?
What is the difference between Api Developer With Python vs Web Developer?
| Aspect | Api Developer With Python | Web Developer |
|---|---|---|
| Required Skills | Python, API design, RESTful services | HTML, CSS, JavaScript, front-end/back-end frameworks |
| Work Environment | Backend development, API integration, server-side tasks | Website development, UI/UX design, client-side scripting |
| Industry Usage | Tech, SaaS, cloud services | Media, e-commerce, corporate websites |
Api Developer With Python focuses on creating and maintaining APIs using Python, primarily working on backend systems and integrations. Web Developers build complete websites and applications, often using a mix of front-end and back-end technologies. While both roles require programming skills, Api Developers With Python specialize in API development, whereas Web Developers focus on user interfaces and website functionality.
What does an API Developer with Python do?
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
About Smith & Wesson Brands
Sourced by ZipRecruiter
Company size
1,001 - 5,000 Employees
Headquarters location
Springfield, MA, US
Year founded
1852