Python AI Developer

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services

Position: Python AI Developer

Location:Seattle,WA 98008

Duration: 6 Months

Job Type: Temporary Assignment

Work Type: Onsite

Job Description:

Role Summary:

• We're looking for a mid-level Python Developer with hands-on AI/ML experience to design, build, and deploy AI-powered applications and services.
• You'll work across the stack - from data pipelines and model integration to production APIs
• while also using AI 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 (OpenAI, 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 AI capabilities add real product value vs. added complexity
• AI-Assisted Engineering Practices
• Use AI coding assistants (GitHub Copilot, Claude Code, Cursor, or similar) to accelerate development, refactoring, and debugging
• Apply AI-assisted test generation and code review practices to improve velocity without sacrificing quality
• Continuously evaluate and adopt emerging AI-augmented engineering tools and workflows
• Mentor peers on effective, responsible use of AI 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/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)

TekWissen Group is an equal opportunity employer supporting workforce diversity.