Job Description

Note : This position does not offer visa sponsorship. Applicants must be authorized to work in the United States without sponsorship.

Location : This is an in-person role based in Charlotte, North Carolina.

About Snaplaunch

Snaplaunch is a pioneering platform in the AI space focused on transforming how organizations deploy AI agents across their digital assets. Our platform allows businesses to seamlessly train and embed AI agents into their websites and applications with no coding required. We enhance customer engagement and streamline support through AI Agents.

Our engineering team works in an aggressive and fast-paced environment but enables entry level through lead engineers to drive real impact and own major deliverables at a company carving the way for business applications of AI Agents.

Responsibilities

• Understand and maintain the end-to-end infrastructure of our platform
• Personally own and deliver new features within our platform (Anything from scaling infrastructure to unique applications of Generative AI based components)
• Emphasis on back-end application development but occasional front-end development will be required 

Qualifications

Required:

• Solid/proven experience in Python development.
• Hands on experience with LLM based applications.
• Strong knowledge of AWS cloud platform.
• Knowledge of Azure is desirable.
• Hands on experience building applications using AWS serverless services (Lambda, API Gateway, S3, SQS, etc.)
• Experience with IaC (infrastructure-as-code) solutions.
• Experience in containerized application development with tools like Docker.
• Experience with container orchestration services (AWS ECS (Fargate) or Kubernetes) to deploy, monitor and optimize container-based applications.
• Familiarity with CI/CD pipelines.
• SQL and NoSQL database experience
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Ability to organize, manage, and deliver multiple concurrent requirements on time
• Meticulous attention to detail

Preferred:

• HTML, CSS, JS
• Knowledge of various types of LLMs
• Introduction to RAG-based applications
• Vector database and embedding model experience
• LLM structured outputs & tool calls
• Served in some degree of a client facing role

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