Hire Remote Python Developers For US Product and AI Teams Hourly or Monthly
$2,000 a month full time, or $15 an hour
Experienced Python engineers and programmers for US companies: Django and FastAPI backends, full-stack web apps, data pipelines and AI features, with a live Eastern-time morning overlap. Invoices in USD, W-8BEN-E provided, 7-day risk-free trial.
Build high-quality software solutions that meet your specific business needs and requirements with our python development services. Whether you need a web application, data analysis software, or a machine learning model, our python developers can help you build your dream.

Years of Experience
Talented IT Professionals
Successful Projects
Clients
Hiring a Python engineer in the US: what the role covers in 2026
US companies search for a Python programmer, a Python engineer, a Python backend developer or a Python development company, and they usually need the same thing: someone who can own a backend in production. That means designing and versioning an API, keeping PostgreSQL fast as tables grow, moving slow work into Celery jobs, deploying to AWS or GCP with infrastructure as code, and adding AI features without sending customer data where it should not go.
US products also come with their own requirements. Enterprise customers ask for SSO, audit logs and a SOC 2 report before they sign, so the backend needs access controls and logs an auditor can read. Healthcare products must keep protected health information inside HIPAA-eligible services covered by your BAA. California users can ask to see or delete their data under the CCPA, which should be an endpoint rather than a manual job. A Python developer from Empiric Infotech builds those into the backend as normal work.
The tooling is familiar to any US engineering team: Python 3 with type hints, Django and Django REST Framework or FastAPI, Celery and Redis, PostgreSQL on RDS or Cloud SQL, pytest and GitHub Actions, Docker, and Terraform for AWS. On the AI side, the OpenAI, Anthropic and Google SDKs, with Amazon Bedrock or Google Vertex AI when a model has to run inside your own cloud account.
Python trades raw speed for development speed, and for a US SaaS backend that is the right trade: most request time goes to the database and other services, and async code, worker queues and caching handle load. Where a single path is CPU-bound, the developer profiles it and moves that path into NumPy, a background worker or a compiled extension instead of rewriting the service.
Where a remote Python engineer helps US teams most
These are the engagements US SaaS companies, AI startups and agencies bring to us most often.
SaaS backends ready for enterprise deals
Multi-tenant Django or FastAPI backends with SSO through Okta or Microsoft Entra ID, role-based permissions, audit logs and the API rate limits enterprise customers check before signing.
HIPAA-aware healthcare backends
APIs on HIPAA-eligible AWS or GCP services under your BAA, encryption in transit and at rest, access logging, and no protected health information in logs, analytics or model calls your BAA does not cover.
AI features in a US SaaS product
Assistants, document search and summaries on the OpenAI, Claude or Gemini APIs, retrieval with pgvector, and per-tenant data isolation so one customer's documents only ever answer that customer's questions.
Data pipelines into Snowflake, BigQuery or Redshift
Scheduled Python and Pandas jobs that pull from Stripe, HubSpot, Salesforce and your product database, clean the data and load the warehouse your finance and growth teams query.
Full-stack Python for a lean US team
One full-stack Python developer who owns the Django or FastAPI backend, the admin your operations team uses and a lighter web interface, with a React or Next.js developer added when the customer-facing app needs more hands.
Backend capacity for US agencies
Agencies add a Python developer to a client project that needs an API, an integration or a data job, working under the agency's process and brand.
What a Python developer builds for US companies
Typical Python work for US product teams, led by our published Python case study.
A real-time monitoring and alerting backend
Python services that check many sources continuously, process high volumes of new data and push an instant alert when a match appears: the core of MarketPlace Monitor, built by a four-person team for a UK client.
Stripe, Twilio and CRM integrations
Idempotent webhook handling so a retried event is processed once, subscription and usage billing in Stripe, SMS and voice through Twilio, and two-way sync with Salesforce or HubSpot.
Framework and version upgrades
Older Django or Flask apps moved to current releases, with tests written first so behavior is pinned down before anything changes.
LLM features with guardrails
Prompt and retrieval pipelines with evaluations, cost tracking per request and fallbacks when a model API is slow, so an AI feature behaves like the rest of the product.
When a US project needs another role next to Python
A Python developer covers the backend, data and AI. In these cases you will also want one of the roles below, and we provide them.
A web app your customers use every day
The interface is a React or Next.js job. A frontend developer working against your Python API keeps both sides moving.
Apps for iPhone and Android
Python stays on the server; the app is built in Flutter or FlutterFlow, or natively in Swift and Kotlin.
Heavy design work
If the flows are still being decided, a UI/UX designer for a few weeks before the build saves rework in both the API and the screens.
A JavaScript-only team
If your engineers write TypeScript everywhere, a Node.js developer keeps one language across the stack.
Other roles US teams hire alongside Python
If Python is only part of the job, these pages cover the roles US clients most often add.
Hire Remote Software Developers From Empiric Infotech LLP
Empiric Infotech LLP is a Python development company for US teams that need an engineer, not a hiring project. One remote Python developer joins your team full time, works only on your product and stays on it, from the API and background jobs to the data pipeline and the AI feature your customers asked for. Our engineers work from Surat, India, and we have a US office in Bridgeville, Pennsylvania. Your developer joins your standup between 8:00 and 10:00 AM ET (one hour from November to March), works through your backlog while your team is offline and leaves a written handover before your morning; the project manager is available until 1:30 PM ET. Invoices are monthly in USD by ACH, wire or card, with a completed W-8BEN-E for your accounts team. A senior team lead reviews and tests every release, and the first 7 days are a risk-free trial.
Pricing for a Python developer in the US: hourly or monthly
Hourly is pay as you go for a short-term piece of work. Monthly covers 160 to 172 hours of full-time, exclusive Python engineering, billed monthly upfront in USD, and starts with a 7-day risk-free trial. Pay by ACH, wire or card; we provide a completed W-8BEN-E.
A dedicated Python developer vs Toptal, Upwork and a US in-house hire
| Empiric Infotech (dedicated, monthly) | Toptal / Arc.dev premium | Upwork hourly | In-house hire | |
|---|---|---|---|---|
| Cost / month | $2,000 USD | $9,600 - $24,000 at $60-$150 an hour | Varies with the rate and the hours | $14,165 - $15,298 (BLS median $135,980 a year plus 25-35% employer costs) |
| Hours | 160 to 172 a month, full-time and exclusive | Billed by the hour | Billed by the hour | About 160 a month, less PTO, sick days and US holidays |
| Live time with your team | 8:00-10:00 AM ET daily (1 hr Nov-Mar), PM until 1:30 PM ET | Depends on the contractor | Any time zone | Your office hours |
| Stack breadth | Django, FastAPI, Celery, data and AI in one engineer | Often one framework | Varies by contractor | Depends on seniority |
| AI work | OpenAI, Claude and Gemini APIs, RAG, evaluations | AI premium tier, $150-$200 an hour | Varies by contractor | Depends on the hire |
| Compliance work | SOC 2 evidence, HIPAA-eligible services, CCPA requests | Varies | Varies | Depends on the hire |
| Time to start | 48 hours after sign-off | 1 to 2 weeks | 1 to 30 days | 3 to 5 months, competing with funded startups for the same engineers |
| Trial | 7-day risk-free trial | 2-week trial period | Milestone-based | 90-day probation |
| Tax paperwork | W-8BEN-E provided | 1099 / W-9 for US contractors | Per contractor | W-2 payroll and payroll tax |
| If the fit is wrong | Replaced at no cost, at any time | Manual rematch | Post the job again | A new search |
US time zone overlap for Python work
Our team works 09:30 AM - 07:30 PM IST and a project manager is on call 07:30 AM - 11:00 PM IST, Monday to Friday. Here is exactly when that lands for clients in the US, Europe and Australia, your region first.
US Eastern (New York, Boston, Atlanta) - full team online 12:00 AM - 10:00 AM, project manager 10:00 PM - 1:30 PM (next day).Live cover across the edges of your day, your morning and your evening, with a project manager who replies the same business day.
US Pacific (Los Angeles, San Francisco, Seattle) - full team online 9:00 PM - 7:00 AM (next day), project manager 7:00 PM - 10:30 AM (next day).We are online through your evening and overnight, and your project manager sets live calls in your morning so you are never blocked.
UK & Ireland (London, Dublin) - full team online 5:00 AM - 3:00 PM, project manager 3:00 AM - 6:30 PM.
Central Europe (Berlin, Paris, Amsterdam, Madrid) - full team online 6:00 AM - 4:00 PM, project manager 4:00 AM - 7:30 PM.
Australia East (Sydney, Melbourne, Brisbane) - full team online 3:00 PM - 1:00 AM (next day), project manager 1:00 PM - 4:30 AM (next day).
Want it to the half-hour in your own time? Slide through your day and book a slot below.
Why US companies hire Python engineers from Empiric Infotech
A US software developer's median salary is $135,980 a year (BLS, May 2025). Add 25 to 35% for benefits, payroll tax and equipment and a single in-house Python engineer costs $14,165 to $15,298 a month, after a search that usually takes three to five months. Engineers who know both web frameworks and AI SDKs are in high demand, and AI startups compete for the same people.
Many Python development companies sell a fixed project; we provide an engineer. Your developer works inside your repository, your tickets and your process, and stays on your product month after month. Before any engagement they have cleared technical interviews, a real-world coding test and a portfolio review. We introduce the one whose recent work matches your codebase, you interview them on US time, and a senior team lead reviews and tests every release after they start.
The first two weeks run around your Eastern morning. In the first 48 hours your developer gets access and joins the next standup. In week one the first pull request arrives, such as a fix, a new endpoint with its tests or a slow query rewritten. On day seven you decide whether to continue. From week two they work your normal backlog and leave a written handover each day before your team logs in, invoiced monthly in USD with seven days' notice to stop.
See how the in-house figure is calculated in our Software Development Cost Benchmark 2026.
How a Python engagement with Empiric Infotech LLP works
Real client engagements, including US product teams
EndoDNA (USA, healthcare SaaS)
A single dedicated developer built and extended this HIPAA-compliant, multi-tenant platform for US clinics: permission-first access for five user roles, lab and genetic data on Supabase and PostgreSQL, an AI health assistant streaming over Server-Sent Events, and Stripe billing per licensee. React and TypeScript on the front end.
Read case studySuperintelligence (USA, AI personal assistant)
A two-person team built a web and mobile AI assistant on the OpenAI API, with a Node.js backend, Strapi CMS and Firebase, plus subscriptions, saved question history and an incognito mode that keeps questions out of that history.
Read case studyOur Hiring and Engagement Model
Dedicated Resources
Hourly Basis
Hire a Dedicated Python Developer As per Your Need
As a leading web and mobile app development company in the USA, Empiric Infotech LLP simplified the process of hiring web and mobile app developers. You can hire software engineers in 3 simple steps: Request, Interview, and Hire.
STEP 01
Request
Share your requirements
STEP 02
Interview
Take developer’s interview
STEP 03
Hire
Start risk-free work
Ready to add a Python engineer to your US team?
Tell us your API, your data and the AI feature on your roadmap. Within 24 hours we introduce one Python developer who fits, you meet them on US time, and they can start inside 48 hours. The first 7 days are a risk-free trial, with invoices in USD by ACH, wire or card.
Frequently Asked Questions (FAQs)
In-house, about $14,165 to $15,298 a month: the median US software developer salary is $135,980 a year (BLS, May 2025), plus 25 to 35% for benefits, payroll tax and equipment. A remote dedicated Python developer from Empiric Infotech is a flat monthly fee for 160 to 172 hours of full-time work, or a pay-as-you-go hourly plan, with no recruiting fees or benefits on your books. The current US rates are in the pricing section above.
With Empiric Infotech you get both: a dedicated Python developer who works only on your product, backed by a development company that handles hiring, replacement and a senior team lead who reviews and tests every release. You direct the work day to day, as you would an employee, without the recruiting, payroll or benefits.
From Surat, India, with a US office in Bridgeville, Pennsylvania. Your engineer is live with your team from 8:00 to 10:00 AM ET (one hour from November to March) and leaves a written handover before your morning; the project manager is available until 1:30 PM ET. Central teams get 8:00 to 9:00 AM CT for most of the year, and Mountain and Pacific teams hold their standup with the project manager.
Inside 48 hours of your sign-off. We introduce one developer within 24 hours of the first call, you interview them on US time, and once you approve, the NDA and IP assignment are signed and access is set up. The first 7 days are a risk-free trial.
One invoice a month in USD, paid by ACH, wire or card, and we provide a completed W-8BEN-E for your accounts team. It is a vendor engagement with Empiric Infotech LLP, so payroll taxes and benefits stay off your books.
Yes. The developer works inside your accounts with your MFA, access reviews and change process, so their access and deployments appear in the evidence your SOC 2 auditor checks. For HIPAA, they keep protected health information inside the services your BAA covers and out of logs, analytics and model APIs outside it.
Yes. Assistants, document search, summaries and data extraction on the OpenAI, Anthropic and Google APIs, retrieval with pgvector, per-tenant data isolation and evaluations before release, with Amazon Bedrock or Google Vertex AI when a model has to run inside your own cloud account. Our engineers also test and score frontier AI models as partners in micro1's Company Data Partnerships Program.
Django with Django REST Framework, if the product has an admin, complex permissions and many related models; FastAPI, if it is a typed, async API or an AI service. A common setup is Django for the core product and FastAPI for one or two async services, and our developers work in both.
Yes. EndoDNA, a HIPAA-compliant platform for US clinics, was built and extended by a single dedicated developer from Empiric Infotech, and Superintelligence, an AI assistant for a US client, was built by a two-person team. Our published Python case study is MarketPlace Monitor, a real-time marketplace monitoring product for a UK client.
You do, fully. The NDA and IP assignment are signed before work starts, and all rights in code, schemas, migrations and prompts transfer to your company. The developer commits to your GitHub and deploys to your AWS or GCP account.
GET A QUOTE NOW
Tell us about your API surface, your data pipeline, and your AI surface, and we'll come up with a viable engagement plan!
Other Services
We provide comprehensive IT solutions to help businesses stay competitive and innovative in today's digital world.





