Full Stack Engineer - Python

Algoworks; India; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Algoworks is seeking an experienced software engineer to extend our AI-enabled backend services. You will focus on Python-based APIs, data access, and integration with foundation model APIs, while building frontend surfaces for an AI Playground.

The role is delivery-focused on a small team with production-ready outputs, testing, and collaboration with US-based teammates. Strong Python, SQL, and front-end skills are essential.

Qualifications

• 5+ years delivering production backend services.
• Experience with FastAPI or similar Python frameworks.
• Frontend capability in Angular or React is required.

Responsibilities

• Build Python API endpoints and services for AI features.
• Develop front-end surfaces in Angular or React.
• Write tests and contribute to CI/CD pipelines.
• Implement robust logging, metrics, and tracing.
• Collaborate with cross-functional teams in a distributed setup.

Skills

Python backend

REST APIs

Async programming

Angular/React

SQL & data modeling

Git & CI/CD

English communication

Tools

FastAPI/Flask/Django

CI/CD tooling

Docker

Azure

Celery

Unit testing

Job description

Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results.

For over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement.

At Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized.

Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact.

Follow the video below to know about us! Clipchamp

Role overview

This engineer will build and extend the Python services behind AI features - endpoints, data access, ingestion and retrieval jobs, and the integration points to foundation model APIs - and will also implement the front-end surfaces for a new AI Playground that ACD engineering will develop for rapid prototyping and experimentation, before implementing it in customer-facing UI. The work is majority backend; the front-end capability matters because it means features get delivered whole rather than handed across a seam.

This is a delivery role on a small team, working to patterns set by the AI Engineering Lead and senior backend engineer rather than defining architecture. The expectation is steady, tested, production-ready output with growing independence over the engagement.

Key responsibilities:

• Build and maintain Python API endpoints and service logic (FastAPI or equivalent) backing AI features, following established patterns for request validation, streaming responses, timeouts, retries, and structured error handling.
• Implement the front-end features in Angular or React - streaming and incremental response rendering, loading and partial-failure states, and responsive layouts for the AI Playground and customer-facing UI.
• Write and maintain SQL against relational stores, Python against other NoSQL or object data stores.
• Write automated tests as a normal part of delivery: unit and API tests on the back end, fixture-based tests for model-dependent paths, and contributions to regression suites running in CI.
• Add logging, metrics, and tracing to the services and jobs owned so failures and performance regressions are visible without a customer report.
• Fix defects on owned features through to root cause, including issues surfaced in production.
• Collaborate with the AI Engineering Lead, Senior Backend Engineer, Product, and UX in a distributed team, using written updates and asynchronous communication as the default.

Required skills and qualifications:

• 5+ years of professional software development experience delivering production backend services and web application user interfaces.
• Strong Python for production backend work: REST API development, async basics, testing, and debugging in a real codebase - not scripting or notebook-only experience.
• Hands-on experience with FastAPI, Flask, Django, or an equivalent Python API framework.
• Working proficiency in a modern front-end framework - Angular or React - sufficient to build and modify feature-level UI independently. Angular is preferred, as it is used in ACD’s existing platform.
• Solid SQL and relational data modeling: joins, indexing basics, schema changes, and migrations.
• Experience with Git-based workflows, code review, and CI/CD pipelines.
• Strong written English and the ability to work effectively with a US-based team.

Must have skills:

• Strong Python backend development with REST APIs and FastAPI/Flask/Django.
• Strong SQL, relational databases, data modeling, and API integration.
• Experience with Git, CI/CD, automated testing, debugging, and production support.

Desired attributes:

• Exposure to AI/LLM features, model APIs, RAG/retrieval, or streaming interfaces.
• Knowledge of Azure, Docker, and cloud deployment.
• Experience with background jobs/queues such as Celery.
• Strong problem-solving, communication, ownership, and ability to work with distributed/US-based teams.

Good to have skills:

• Exposure to AI or LLM-backed features - calling model APIs, prompt handling, retrieval-backed search, or streaming and conversational interfaces.
• Vector databases or embedding-based retrieval.
• Azure cloud services, Docker, or exposure to cloud deployment workflows.
• Background job and queue processing (Celery, or equivalent).
• C# and .NET familiarity, which are core to ACD’s existing product platform.
• Accessibility (WCAG) and front-end performance work.
• Fluency with AI-assisted development tooling in day-to-day work.