Python AI Developer

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, Here is what you will do and learn to be successful in this role: Drive product strategy: Define and own the product strategy for Python and Java developer tools, language-specific…

• 18 days ago

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

• Bellevue, WA 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 pr…

• 16 hours ago