We help you decide where Python serves your project best, whether that is the web layer, the data platform, or an AI capability, then prepare the technical roadmap. Sound early decisions on frameworks and scope save months across the builds.
We build web applications on Django, Flask, and FastAPI, shaped around your business operations rather than a template. From admin platforms to large dashboards, every solution is structured to scale cleanly as usage and data volumes climb.
We develop machine learning solutions using TensorFlow, PyTorch, and scikit-learn, covering recommendation engines, forecasting, and language processing. Models are trained on your data and deployed into production with monitoring attached.
We build LLM-powered features into products using LangChain, OpenAI, and open-source models: assistants, document intelligence, retrieval-augmented search. Each deployment includes guardrails, evaluation, and cost controls from the outset itself.
We construct data pipelines with Airflow, Pandas, and Spark that turn scattered records into dependable, query-ready datasets. Reporting layers and dashboards follow, giving your teams numbers they can act on rather than spreadsheets to fix.
We engineer REST and GraphQL APIs in Python that connect products, partners, and internal systems. Each interface is documented, versioned, and load-tested, so the services depending on it keep functioning as your platform keeps on expanding.
We automate the repetitive work that consumes staff hours: report generation, file processing, data collection, and system housekeeping. Python scripts run on schedule, log their own activity, and fail loudly instead of corrupting data quietly.
We build automated test suites in pytest and Selenium that cover units, integrations, and full user journeys. Suites run inside CI on every change, so defects surface before deployment and releases keep a rhythm your team can fully depend upon.
We move legacy systems onto modern Python: upgrading aging Python 2 codebases, replacing brittle platforms, and refactoring as we go. Data and business logic arrive intact, and downtime stays well inside an agreed maintenance window throughout.
After launch we keep your application healthy with updates, security patches, performance tuning, and new features on demand. Continuous support means small problems are caught early and your product continues to improve well after it goes live.
| Range of Developers | Junior Developers | Mid-Level Developers | Senior Developers |
|---|---|---|---|
| Hourly Rate | $25/hr | $35/hr | $45/hr |
| Years of Experience | 1–3 Years | 3–5 Years | 5+ Years |
| Project Manager Support | Yes | Yes | Yes |
| Time Zone Flexibility | Available | Available | Available |
| Quality Assurance | Included | Included | Included |
| Working Hours | 40 hours/Week | 40 hours/Week | 40 hours/Week |
Years in Business
IT Professionals
Clients Worldwide
Projects Executed











Our developers have deep command of Django: its ORM, admin framework, middleware, and security model. We structure every project for the long term, so the platforms we deliver absorb years of feature work without accumulating disorder.
Our team engineers lightweight services and high-throughput APIs on Flask and FastAPI, applying async patterns wherever concurrency demands them. Type-hinted, validated endpoints keep these services dependable under real production load.
Our developers command the full model lifecycle: feature engineering, training, evaluation, and production deployment. Working in TensorFlow, PyTorch, and scikit-learn, we deliver models that hold accuracy well beyond their first release.
Our engineers build production LLM systems: retrieval-augmented generation, fine-tuning, prompt pipelines, and agent workflows. Every deployment carries evaluation, guardrails, and cost governance suited to firm enterprise expectations.
Our developers construct pipelines with Airflow, Pandas, and Spark that move data from scattered sources into structured, query-ready form. The infrastructure we build sustains throughput as volumes climb from thousands into the millions.
Our team converts raw business data into decisions through statistical analysis, forecasting, and visualisation in Python's scientific stack. Findings arrive as dashboards and reports that stakeholders can interrogate, not simply read.
Our developers possess extensive experience in REST and GraphQL API engineering, integrating Python applications with payment gateways, CRMs, and analytics platforms. Every interface is documented, versioned, and verified before release.
Our developers ship Python applications to AWS, Azure, and GCP using Docker, CI/CD pipelines, and infrastructure as code. Provisioning follows measured demand, so these systems scale through traffic peaks while costs remain fully governed.
Our engineers write disciplined test suites in pytest, covering units, integrations, and end-to-end journeys with Selenium and Playwright. Coverage runs in CI on every commit, holding regressions out of the production releases entirely.
Share your business goals, technical specifications, and Python development needs with our experts. They'll match you with the best-fit Python developers aligned to your project scope and industry.
We allow our clients to review curated CVs of our Python developers and evaluate their expertise in web development, data engineering, automation, or AI/ML to find the perfect fit.
At Xicom, we conduct in-depth technical interviews to assess Python proficiency, framework knowledge, problem-solving skills, and communication abilities before making a final hiring decision.
At Xicom, onboard your selected Python developers into your team with our quick onboarding process, ensuring smooth collaboration, clear sprint planning, and immediate project startup.
Fixed Price Model
Best for well-defined AI projects, this model ensures clear scope, budget predictability, and timely delivery without surprises.
Most Popular
Dedicated Teams Model
Ideal for businesses seeking a long-term AI development partner, this model provides a dedicated team of AI engineers working exclusively on your project.
Time & Material Model
Perfect for AI projects with dynamic requirements, this model offers agility, cost control, and adaptability to continuous innovation.
Every engagement begins with a structured requirement discussion. You define the project goals, technical needs, team size, preferred engagement model, and the delivery timelines, providing a complete brief before any shortlisting can start.
Working from your brief, Python developers whose skills, exposure, and experience fit your project's needs are identified. Each candidate is screened internally before reaching you, so the shortlist contains only credible matches.
You assess the shortlisted developers directly. Review profiles and past work, conduct interviews on your preferred platform, and gauge technical capability through formal assessment before committing to anyone for the project.
Once the evaluation concludes, the engagement is formalized. You finalize the developers, settle on a dedicated, hourly, or a fixed-scope model, and then the project scope, timelines, deliverables, and communication processes are recorded in writing.
Selected developers are onboarded into your team, systems, and workflows with deliberate care. Access, documentation, and full project context are arranged before the kickoff meeting, so development begins without any idle first weeks.
From kickoff onward, the selected developers operate as a true part of your team. Work proceeds in sprints with regular reviews, covering feature delivery, updates and maintenance, with continuous support sustained across the whole engagement period.
Factor
Primary Language
Learning Curve
Performance
Ecosystem
AI/ML Support
Best For
Python
JavaScript
Easy
Very High
Very Large
Excellent
Full-stack web, AI/ML
Node.js
JavaScript
Moderate
High
Large
Poor
Real-time apps, microservices
Java
JavaScript
Very High
High
Large
Lightweight, fast-build projects
Legacy enterprise systems
Partnering with Xicom has provided an efficient and cost-effective solution to meet out IT needs. They have consistently demonstrated 100% commitment and the tenacity to complete the most challenging projects.
We were very impressed with Xicom. Understanding the needs of customers is the key to any successful business. Xicom perfectly understands these needs and knows how to translate them into applicable strategies. Moreover, they assign the team with best talents.
Excellence is earned and trust is built over time. Over 2 year period, we collaborated with Xicom and we were able to save over 55% in our service-related costs, cutting our expenses by up to five million dollars a year.
Collaborating with Xicom for our taxi booking app development was a game-changer. Their expertise in creating a seamless and intuitive platform exceeded our expectations. They showed unwavering commitment and tackled complex challenges with ease, delivering a high-quality, cost-effective solution on time.
We have always enjoyed a high level of professionalism, continuity, stability and a customer focused approach working with Xicom. They provide excellent technical skills and project management capabilities.
Xicom transformed our vision into a high-performing website that drives engagement and growth. Their technical proficiency, innovative approach, and attention to detail made the entire process smooth and efficient. Their dedication to quality and timely delivery sets them apart.
Xicom's Python developers specialize in web and backend development, REST API and GraphQL API development, AI/ML model development, data engineering and ETL pipelines, automation scripting, cloud deployment, and enterprise ai application development.
The cost to hire Python developers in India depends on the developer's experience level, engagement model, and project scope. Hourly rates typically start at $25/hr for junior developers and go up to $49/hr for senior developers. Contact us for a custom quote.
Xicom offers pre-vetted Python developers with expertise in Django, Flask, FastAPI, and AI/ML frameworks. With 20+ years of IT outsourcing experience, ISO 9001 certification, and flexible engagement models, Xicom ensures high-quality delivery, transparent pricing, and fast onboarding for global businesses.
Yes. Xicom has a dedicated pool of Python developers experienced in building AI/ML solutions including recommendation engines, predictive analytics models, NLP systems, computer vision applications, and generative AI integrations.
Yes. Xicom enforces strict NDA agreements, data confidentiality policies, and IP ownership clauses. All source code and project assets developed by our Python developers are fully owned by the client.
Xicom's Python developers serve businesses across multiple industries, delivering secure, scalable, and intelligent solutions tailored to each sector's unique requirements.