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Python AI Developer

Spar Information SystemsBellevue, WA🇺🇸United StatesPosted 14 Sept 2026

Why This Role Stands Out

This hybrid Python AI Developer role at Spar Information Systems offers a fantastic opportunity to build and deploy cutting-edge AI-powered applications, leveraging AI coding assistants in your daily workflow. You'll thrive here if you're a mid-senior developer eager to expand your skills in ML/LLM integration, RAG pipelines, and agentic workflows within a collaborative environment. Apply today to join a forward-thinking team and contribute to innovative AI solutions.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Bellevue, WA, United States
Posted
7 hours ago
DjangoDockerFlaskMySQLSQLAWSMLOpsMLflowScrumAgileAzureGoogle CloudHugging FaceKafkaLLMPostgreSQLPyTorchPythonRESTRedisTensorFlowpytest

Job Description

Hello Everyone,

Hope you are doing good!!!!

My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details.

Role: Python AI Developer

Location: Bellevue, WA United States; Hybrid

Duration: Long term contract

About the Role

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

Core Development

* Design, build, and maintain Python services and APt (FastAPl, Flask, or Django)

* Write clean, well-tested, maintainable code following established engineering standards.

* Participate in code reviews, design discussions, and sprint planning

Debug and cesalue production issues, including performance tuning and root cause analysis

* Work with relational and/or NoSQl databases (PostgreSQl, MySQL, MongoD, Redis)

* Build and consume REST/ERPC APs, work h message queues (Kala, RabbitMa, SOS) and

AL/ML Engineering

* Build and deploy ML/LLM-based services using Python, integrating models via APts (OpenAl, Anthropic) or self-hosted inference

* Design and maintain RAG (Retrieval-Augmented Generation) pipelines using vector databases (pevector, Pinecone, Weaviate, FAISS)

* Develop agentic workflows and tool-calling integrations connecting LLMs to internal APis and data sources

* Use frameworks such as LangChain, Lamaindex, 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

* Apply sound judgment on when/where Al capabilities add real product value vi. 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 3x and at least one web framework (FastAPl, Flask, or Django)

* Hands-on experience building and integrating LLM/Al applications (chatbots, RAG, summarization, classification, or agentic systems)

* Experience with at least one ML/Al framework: LangChain, Lamainder, Hugging Face, PyTorch, or TensorFlow

Experience with RESTU API design and mid fervices architecture

* Sollid 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 Gir, C/CD pipelines, and containerization (Docker)

Preferred Qualifications

* Experience with vector databases and embedding models

* Familiarity with prompt engineering, ULM evaluation, and gi

* Exposure to cloud platforms (AWS, Azure, or Google Cloud Platform) and their Vertex Al, Azure ML)

* Experience with Kafka or similar event-streaming platforms

* Understanding of MCP (Model Context Protocol) of agentic

* Experience with MLOps tooling (MLflow, Weights & Biases,

- Prior experience in Agile/Scrum environments

Thanks & Regards,

Pavan Raikhelkar

LEAD TALENT ACQUISITION SPECIALIST

Direct Number:-

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Email:

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