Senior Python engineers building production AI agents, RAG pipelines, FastAPI and Django services, data platforms, machine learning systems, web scrapers, automation bots, and ETL workflows on Python 3.12, async-first frameworks, and modern cloud stacks. Built in Kansas City, delivered nationwide, ranked for accuracy, speed, and scale.
22+
Years Shipping Python
3.12
Latest Python Version
400+
Python Apps Shipped
99.99%
Uptime Targets
# FastAPI AI agent with RAG over pgvector from fastapi import FastAPI, Depends from openai import AsyncOpenAI from .rag import VectorStore from .auth import verify_jwt app = FastAPI() client = AsyncOpenAI() store = VectorStore(table="docs", dim=1536) @app.post("/ask") async def ask(q: str, user=Depends(verify_jwt)): ctx = await store.search(q, k=8) chat = await client.chat.completions.create( model="gpt-4o", messages=[ {"role": "system", "content": ctx.prompt}, {"role": "user", "content": q}, ], ) return {"answer": chat.choices[0].message.content}
We do not pick one slice of Python. We ship the full surface area: web apps, APIs, AI agents, data pipelines, ML systems, automation, and the hardened infrastructure to run it all in production.
Bespoke business apps, dashboards, internal tools, member portals, marketplaces, and SaaS platforms built on Django, FastAPI, or Flask with PEP 8 code, full type hints, and 90%+ test coverage.
Versioned FastAPI and Django Rest Framework endpoints, Strawberry GraphQL schemas, OpenAPI specs, rate limiting, caching, and developer-friendly docs for mobile, partner, and AI consumers.
Production OpenAI, Anthropic Claude, Google Gemini, xAI Grok, Mistral, and local Ollama agents with tool use, function calling, planning, memory, and guardrails.
Document ingestion, chunking, and embedding pipelines over pgvector, Pinecone, Weaviate, Qdrant, Chroma, and Redis Vector for grounded AI answers from your data.
Classical ML with scikit-learn, deep learning with PyTorch and TensorFlow, feature engineering, model training, MLflow experiment tracking, and clean handoff to product teams.
Airflow, Prefect, Dagster, and dbt pipelines that move data between SaaS, databases, APIs, and warehouses with retries, lineage, alerts, and idempotent reruns.
Playwright, Selenium, Scrapy, and Requests bots that log in, click, fill, extract, and submit at scale. Captcha handling, proxy rotation, and human-in-the-loop fallback.
Typer and Click command line tools with rich help, JSON output, and Unix-friendly pipes. Long-running scripts wrapped as systemd services, cron jobs, or Lambda functions.
PostgreSQL, MySQL, SQLite, MongoDB, Redis, and DuckDB. SQLAlchemy 2 typed models, Alembic migrations, indexing strategy, query tuning, and read replicas.
Celery, RQ, Dramatiq, arq, and Taskiq workers backed by Redis, RabbitMQ, or SQS. Retries with backoff, dead-letter queues, idempotency keys, and observability.
Stripe, Authorize.Net, PayPal, Square, Braintree, Apple Pay, Google Pay, CashApp, Venmo, ACH, subscriptions, dunning, refunds, partial captures, and 3D Secure in Python.
OWASP Top 10 reviews, OAuth2, OIDC, SAML, JWT, magic links, TOTP, WebAuthn, RBAC, ABAC, secrets management, audit logging, and SOC 2 / HIPAA-friendly patterns.
We pick the right tool for the job. Modern async API? FastAPI. Full stack web app with admin? Django. Tiny microservice? Flask or Starlette. ML serving? BentoML or Ray Serve. We ship in all of them.
Async API
Typed Pydantic models, auto OpenAPI docs, dependency injection, async-first, and the fastest growing Python web framework. Our default for new APIs.
Full Stack
Batteries-included ORM, admin, auth, migrations, channels, and Django Rest Framework. Best fit for content-heavy, multi-role business apps.
Microservice
Minimal core, maximum flexibility. Ideal for tiny internal services, webhook receivers, and single-purpose APIs that need to stay simple.
AI Agents
Stateful, multi-step agent workflows with branching, retries, and tool use. LlamaIndex for RAG over your private knowledge.
Multi Agent
Role-based agent crews that plan, delegate, and verify each other. Used for research, content, code review, and customer support automation.
Data Pipelines
DAG-based orchestration with retries, alerting, SLAs, and lineage. We run both, and pick whichever matches your team and infra.
ML Serving
Package and serve PyTorch, TensorFlow, and scikit-learn models with autoscaling, batching, and GPU support behind a clean HTTP API.
Scraping
Headless browser automation for JavaScript-heavy targets, and Scrapy for fast, polite, large-scale extraction with item pipelines and AutoThrottle.
Most AI tutorials stop at a notebook. We ship Python AI to production: streaming chat, tool-using agents, multi-step planners, RAG over your data, evals, observability, cost guardrails, and graceful fallbacks. Real apps, real users, real revenue.
OpenAI GPT-4o, Anthropic Claude Sonnet, Google Gemini, xAI Grok, Mistral, Groq, and local Ollama. Streaming, function calling, structured outputs with Pydantic, and provider failover.
Ingest, chunk, embed, and retrieve from pgvector, Pinecone, Weaviate, Qdrant, Chroma, or Redis Vector. Hybrid BM25 plus vector with reranking and citation tracking.
Tool-using agents with LangGraph, CrewAI, AutoGen, and the OpenAI Assistants API. Multi-step planners, reflection loops, and human-in-the-loop checkpoints.
Model Context Protocol servers in Python so Claude, ChatGPT, Cursor, and Perplexity can call your internal tools, databases, and APIs safely with scoped permissions.
Promptfoo, DeepEval, Ragas, and custom golden datasets. PII redaction, content filters, jailbreak detection, prompt injection defense, and budget caps.
Whisper transcription, ElevenLabs voice, OpenAI Realtime, Vision models for images and PDFs, and Sora-style video for marketing pipelines.
Most ML projects die between data science and engineering. We do both. Your model gets trained, validated, packaged, deployed, monitored, and retrained on a schedule. No mystery code, no orphaned notebooks.
You see the architecture, the data flow, the API contracts, the model card, and the deployment plan before a single line of production Python is written. Then we ship in vertical slices so you see value every sprint.
Requirements workshop, data flow diagrams, API contracts, model selection, and a written PRD. You approve the plan before we write code.
PostgreSQL or DuckDB schema, OpenAPI spec, Pydantic models, auth model, and queue topology. Reviewed line by line so future-you can extend it.
End-to-end working features every sprint. Demo environment from day one. Ruff, mypy, pytest, and 90% coverage gates on every push.
OWASP review, dependency audit, load testing with Locust, query plan review, and async tuning. A written report on what we found and fixed.
Zero-downtime deploys, blue-green or rolling, database migrations gated behind feature flags, DNS cutover, and a documented rollback plan.
Sentry, Datadog, or OpenTelemetry, error budgets, on-call rotation, model drift alerts, and monthly improvements baked into your retainer.
Your Python service does not just work on a laptop. It survives traffic spikes, hostile users, dependency vulnerabilities, and the 3 a.m. on-call page. We test for all of it before launch.
No discovery call required to see a number. These are real starting prices for real Python work. Custom projects priced after a free 30 minute scoping call.
Starter
A single Python service, automation script, or small FastAPI app shipped in 2-4 weeks.
From$4,500
Fixed scope, fixed price, fixed timeline
Growth
Production Python web app, AI agent, or data pipeline shipped in 6-10 weeks.
From$18,500
Most common engagement
Scale
Multi-service Python platform, ML system, or AI product engineered for scale.
From$52,000
Includes architecture and audit
A snapshot of the Python work we actually do. Each one is a real engagement pattern, not a brochure. Use them as starting points for your scoping conversation.
A LangGraph agent that reads your help center, ticket history, and product docs to answer customer questions, draft responses, and escalate edge cases with full citations.
A Prefect pipeline that takes raw inbound leads, fires off Playwright scrapers and clearbit-style API calls, classifies fit with an LLM, and writes scored records back to your CRM.
A Darts and Prophet ensemble that ingests Stripe, QuickBooks, and Salesforce data and produces 13-week revenue forecasts with confidence bands, refreshed nightly.
A Django + Celery system that takes online bookings, routes jobs to crews, sends SMS confirmations, and reschedules around weather and capacity automatically.
A FastAPI service that accepts PDFs and images, runs PaddleOCR plus GPT-4o vision, and returns structured JSON ready for your ERP or accounting system.
A Model Context Protocol server in Python that exposes your CRM, billing, support, and analytics to Claude and ChatGPT with scoped per-user permissions.
Python is the language of automation, data, and AI - which means it shows up in every industry. We have shipped real Python systems for clients in each of these categories.
HIPAA-aware clinical tools, intake automation, claims, and PHI redaction.
Document analysis, contract extraction, matter management, and e-signature.
MLS feeds, lead routing, property scoring, and AI listing description writers.
Personalization, recommenders, dynamic pricing, and inventory forecasting.
Estimating engines, dispatch routing, photo verification, and safety AI.
Fraud scoring, KYC/AML pipelines, reconciliation, and ledger services.
Adaptive learning, AI tutors, grading assistants, and SIS integrations.
Route optimization, ETA prediction, telemetry ingestion, and warehouse AI.
Booking engines, revenue forecasting, dynamic pricing, and guest AI.
Donor analytics, grants automation, volunteer routing, and AI outreach.
Predictive maintenance, quality CV, MES integrations, and OEE dashboards.
Multi-tenant APIs, usage metering, AI features, and onboarding automation.
A non-exhaustive map of the Python services we ship every month. Click any service to start a conversation about scope, timeline, and price.
Tell us what you need. We will return a fixed-scope plan, architecture diagram, and price within two business days. No discovery fee, no aggressive sales call.
