Python AI Developer

VDart Inc; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

VDart Inc. seeks a mid-level Python AI Developer in Seattle to design, build, and deploy AI-powered applications across data pipelines, model integration, and production APIs.

Expect hands-on work with LLMs, RAG pipelines, and AI tooling alongside a skilled data science and engineering team. The role emphasizes practical experience with Python web frameworks, REST/gRPC services, and modern MLOps practices in a collaborative, fast-paced environment.

Qualifications

• 3-6 years of professional Python development experience.

Responsibilities

• Design, build, and maintain Python services and APIs (FastAPI, Flask, or Django).
• Write clean, well-tested, maintainable code following established engineering standards.
• Participate in code reviews, design discussions, and sprint planning.
• Debug and resolve production issues, including performance tuning and root cause analysis.
• Work with relational and/or NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis).
• Build and consume REST/gRPC APIs; work with message queues (Kafka, RabbitMQ, SQS) and async task frameworks (Celery).
• Build and deploy ML/LLM-based services using Python, integrating models via APIs or self-hosted inference.
• Design and maintain RAG pipelines using vector DBs (pgvector, Pinecone, Weaviate, FAISS).
• Develop agentic workflows and tool-calling integrations connecting LLMs to internal APIs and data sources.
• Use LangChain, Llamaindex, Hugging Face Transformers, or PyTorch for model development and orchestration.
• Fine-tune, evaluate, and monitor model performance; implement prompt engineering and evaluation harnesses.
• Collaborate with Data Science/ML teams on feature engineering, model serving infrastructure, and MLOps practices.
• Apply sound judgment on when/where AI capabilities add real product value vs. added complexity.
• Use AI coding assistants to accelerate development, refactoring, and debugging.
• Apply AI-assisted test generation and code review practices to improve velocity while maintaining quality.

Skills

Python

AI/ML

RAG

LLM

Django

Flask

FastAPI

RESTful

Git

Docker

CI/CD

Tools

PostgreSQL

MySQL

MongoDB

Redis

Kafka

SQS

Job description

Job Title: Python AI Developer

Location: Seattle, WA

Duration: / Term: Contract

Experience Desired: 3+ Years

Job Description:

We're looking for a mid-level Python Developer with hands-on AI/ML experience to design, build, and deploy Al-powered applications and services. You'll work across the stack - from data pipelines and model integration to production APIs - while also using Al coding assistants as a core part of your daily engineering workflow.

Key Responsibilities

Core Development

• Design, build, and maintain Python services and APIs (FastAPI, Flask, or Django)
• Write clean, well-tested, maintainable code following established engineering standards
• Participate in code reviews, design discussions, and sprint planning
• Debug and resolve production issues, including performance tuning and root cause analysis
• Work with relational and/or NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis)
• Build and consume REST/gRPC APIs; work with message queues (Kafka, RabbitMQ, SQS) and async task frameworks (Celery)

AI/ML Engineering

• Build and deploy ML/LLM-based services using Python, integrating models via APIs (OpenAl, Anthropic) or self-hosted inference
• Design and maintain RAG (Retrieval-Augmented Generation) pipelines using vector databases (pgvector, Pinecone, Weaviate, FAISS)
• Develop agentic workflows and tool-calling integrations connecting LLMs to internal APIs and data sources
• Use frameworks such as LangChain, Llamaindex, Hugging Face Transformers, or PyTorch for model development and orchestration
• Fine-tune, evaluate, and monitor model performance; implement prompt engineering and evaluation harnesses
• Collaborate with Data Science/Ml. teams on feature engineering, model serving infrastructure, and MLOps practices
• Apply sound judgment on when/where Al capabilities add real product value vs. added complexity

Al-Assisted Engineering Practices

• Use Al coding assistants (GitHub Copilot, Claude Code, Cursor, or similar) to accelerate development, refactoring, and debugging
• Apply Al-assisted test generation and code review practices to improve velocity without sacrificing quality
• Continuously evaluate and adopt emerging Al-augmented engineering tools and workflows
• Mentor peers on effective, responsible use of Al tools in the SDLC

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/Al framework: LangChain, Llamalndex, 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 Al 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 gu
• Exposure to cloud platforms (AWS, Azure, or GCP) and their Vertex Al, Azure ML)
• Experience with Kafka or similar event‑streaming platforms
• Understanding of MCP (Model Context Protocol) or agentic
• Experience with MLOps tooling (MLflow, Weights & Biases,
• Prior experience in Agile/Scrum environments

Nice to Have

• Contributions to internal Al tooling adoption or engineering
• Experience with observability tools (Datadog, Splunk, Grafar
• Familiarity with data engineering tools (Airflow, Spark, dbt)

• management, and executive communication skills.
• Experience leading cross‑functional teams and influencing senior leadership.
• Strong analytical, problem‑solving, and decision‑making capabilities.
• Agile/Scrum product delivery experience.

Key Skills:

Python, AI/ML, RAG, LLM, Django, Flask, FastAPI, RESTful