Python AI Developer

Apptad Inc; Seattle (WA); On-site; USD 120,000 - 170,000; Full time

Job summary

Apptad Inc. in Seattle seeks a skilled Python developer focused on AI/ML applications. You will design and implement backend services, integrate LLM-based features, and collaborate with cross-functional teams to deliver scalable solutions.

The ideal candidate has 3–6 years of Python experience, strong REST API design skills, and hands-on exposure to ML frameworks and AI tooling. On-site work in Seattle with a fast-paced, collaborative environment.

Qualifications

• 3–6 years of professional Python development experience.
• Strong proficiency in Python 3.x and at least one web framework (FastAPI, Flask, or Django).
• Hands-on experience building and integrating LLM/AI applications (chatbots, RAG, summarization, classification, or agentic systems).
• Experience with at least one ML/AI framework: LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow.
• Experience with RESTful API design and microservices architecture.
• Solid understanding of SQL and database design.
• Hands-on experience using AI coding assistants in a real development workflow (Copilot, Claude Code, Cursor).
• Familiarity with unit/integration testing frameworks (pytest, unittest).
• Working knowledge of Git, CI/CD pipelines, and containerization (Docker).

Skills

Python

Python 3.x

Web framework

LLM apps

ML frameworks

REST APIs

SQL DBs

AI copilots

Testing

Git CI/CD

Docker

Kubernetes

Tools

LangChain

LlamaIndex

Hugging Face

PyTorch

TensorFlow

Docker

Git

CI/CD

Job description

Required Qualifications

• 3 6 years of professional Python development experience
• Strong proficiency in Python 3.x and at least one web framework (FastAPI, Flask, or Django)
• Hands‑on experience building and integrating LLM/AI applications (chatbots, RAG, summarization, classification, or agentic systems)
• Experience with at least one ML/AI framework: LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow
• Experience with RESTful API design and microservices architecture
• Solid understanding of SQL and database design
• Practical, hands‑on experience using AI coding assistants (Copilot, Claude Code, Cursor, etc.) in a real development workflow
• Familiarity with unit/integration testing frameworks (pytest, unittest)
• Working knowledge of Git, CI/CD pipelines, and containerization (Docker)

Preferred Qualifications

• Experience with vector databases and embedding models
• Familiarity with prompt engineering, LLM evaluation, and guardrails/safety practices
• Exposure to cloud platforms (AWS, Azure, or GCP) and their AI/ML services (SageMaker, Vertex AI, Azure ML)
• Experience with Kafka or similar event-streaming platforms
• Understanding of MCP (Model Context Protocol) or agentic tool-calling frameworks
• Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow)
• Prior experience in Agile/Scrum environments

Nice to Have

• Contributions to internal AI tooling adoption or engineering productivity initiatives
• Experience with observability tools (Datadog, Splunk, Grafana)
• Familiarity with data engineering tools (Airflow, Spark, dbt)