Python Developer Jobs — From Web to AI

Python is the most versatile language in tech — powering web backends (Django, FastAPI), data science (Pandas, NumPy), AI/ML (TensorFlow, PyTorch), and automation. Python developer roles span from web API development to AI infrastructure.

6 on TalentProof$95,000 – $175,000/yr

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Python Developer Jobs on TalentProof2 matching positions

Founding Applied AI Engineer

Ritually

hybrid

NYC, Denver, Bangalore, Hyderabad, Mumbai

full-time

AI Business and Application Intern

TalentProof

remote

US Based

internship

Founding Applied AI Engineer

Ritually

hybridfull-time

Apply with Skill Assessment

NYC, Denver, Bangalore, Hyderabad, Mumbai

Posted Jun 28, 2026

Job Description

This is a founding applied-AI role. You'll be building our core data pipeline and intelligence layer with the founding team from 0-1. You'll be tackling our largest technical challenges across technologies.

We are hiring in NYC, Denver, Bangalore, Hyderabad, or Mumbai.

What you'll do

Design and build data pipelines that capture and turn high volumes of system activity into structured process data.
Turn raw activity streams into processes: sessionize event logs, cluster recurring sequences, and use LLMs with structured output to name, score, and conformance-check them.
Build the evaluation backbone from scratch: stand up synthetic data generation pipelines that produce ground-truth datasets, and use them to measure and improve the quality of our discovery pipeline and model outputs.
Own data quality and privacy.
Partner closely with the founders and the rest of engineering to ship features end to end.

What we're looking for

1–4 years of experience in data engineering, AI/ML engineering, or backend work with a data focus (strong internships and projects count).
Strong in Python and/or TypeScript, comfortable in SQL, and able to build data pipelines you can trust — moving, transforming, and validating data.
Hands-on experience working with LLMs — structured output, prompting, and wrangling non-determinism — whether at work or in serious side projects.
A practical sense for evaluation: you know that "it looks right" isn't the same as "it's measurably right," and you're excited to build the data and harnesses that prove it.
Care about data privacy and handling sensitive information responsibly.
Comfort with ambiguity and a real appetite to own a hard, open-ended problem.

Nice to have

Background in process mining, sequence / event-log analysis, or workflow analytics — a genuine differentiator for this role.
Deeper PostgreSQL: window functions, partitioning, pg_cron, query performance.
Embeddings and vector search (pgvector) or semantic retrieval.
Familiarity with cloud infrastructure.
Any prior early-stage startup experience.
Degree in computer science or a related field.

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Founding Full Stack Engineer

Ritually

hybrid

NYC, Denver, Bangalore, Hyderabad, Mumbai

full-time

Jr. Front End Developer (Angular)

Enzigma

on-site

Pune

full-time

Founding Growth & Pipeline Lead

TalentProof

remote

Remote (India Only)

contract

AI-Driven Front-End Engineer

TalentProof

on-site

full-time

Founding Full Stack Engineer

Ritually

hybridfull-time

Apply with Skill Assessment

NYC, Denver, Bangalore, Hyderabad, Mumbai

Posted Jun 28, 2026

Job Description

This is a founding full-stack role. You'll be building our application with the founding team from 0-1. You'll own features and infra end to end and across technologies. You'll also own how we build: ensuring our AI development workflow is fast, dependable and secure.

We are hiring in NYC, Denver, Bangalore, Hyderabad, or Mumbai.

What you'll do

Build features end to end, across our desktop client, web app, and the backend services that tie them together.
Go deep in our cross-platform Electron desktop client — the native OS integration that powers on-device capture, and the on-device privacy and redaction that runs before any data leaves the machine.
Move fluidly across technologies and layers, picking up whatever a problem needs rather than staying in one corner of the stack.
Own the infrastructure and deployment path — CI/CD, releases, and the cloud services everything runs on — so shipping stays routine and reliable.
Own how we build: keep our AI development workflow fast, dependable, and secure, and establish the conventions, tooling, and guardrails that let a small team build like a much larger one.
Own observability and on-call basics — logging, error tracking, and alerting — so we catch issues before our customers do.
Help set technical direction and keep the codebase legible as we scale the engineering team.

What we're looking for

1–4 years building software across the stack — frontend, backend, and the glue between them (internships and meaningful side projects count).
Comfort working across multiple languages and technologies, and a genuine willingness to learn whatever a problem requires.
Solid fundamentals in shipping production software — version control, testing, debugging, and deployment.
Experience with, or strong interest in, owning infrastructure and devops: CI/CD, cloud services, and reliability.
Genuine excitement about AI-native development — you've used AI coding agents and want to push how far they can go.
Comfort with ambiguity and a willingness to own problems end to end in a small team.

Nice to have

Experience building desktop applications (Electron or native).
Experience building internal tooling or automation that made a team measurably faster.
Experience building applications for on-premise deployment.
Familiarity with managed backend platforms and AI agent tooling.
Any prior early-stage startup experience.
Degree in computer science or a related field.

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Frequently Asked Questions

What Python frameworks are most in demand?▾

FastAPI is the fastest-growing for APIs. Django remains dominant for full web applications. Flask is used for microservices. For data/ML, the PyTorch + HuggingFace ecosystem leads. Companies increasingly want Python engineers who can work across web and ML.

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Beyond basic syntax, demonstrate expertise in a specific domain (web APIs, data engineering, ML). A verified TalentProof scorecard showing strong Python scores with proctoring beats a resume listing "5 years Python experience."

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