Python Developer

Are you looking to break out of the silo of pure-tech engineering and build systems that directly move millions in global revenue? If you want to own an entire, high-impact platform end-to-end and see the immediate business value of your code every single day, this is your playground. At Ultrahuman, you will act as a critical bridge between deep engineering and global market execution, turning data intelligence into autonomous, revenue-driving action across 100+ countries. 

About the Company: 

Ultrahuman is one of the world's fastest-growing wearable companies. The Ultrahuman Ring AIR — the world's lightest sleep-tracking smart ring — sells in 100+ countries. We operate like a product company in every function, and marketplaces is no exception: our Amazon business across the UK, Germany, Canada, Australia, India, the UAE and beyond runs on uh-amazon, an in-house platform we built ourselves. 

Role: Marketplace Platform Engineer 

Location: Begur, Bengaluru 

Schedule: Hybrid. 

Marketplace Platform Engineer 

Turn a read-only intelligence platform into the hands that run a global Amazon business. 

Why this role exists 

uh-amazon already does the seeing: a fleet of agents producing daily intelligence across every marketplace, an automated fulfillment middleware that intercepts and routes every order, and a self-hosted agent platform the team uses without writing code. But it writes almost nothing back to Amazon — every ads change, price correction, and listing push is still done by hand. That write side is unbuilt, and it is worth more than the entire team's cost: the daily briefs already flag large sums of recoverable ad spend that no one has the hands to recover. You will be the platform's owner and the team's force multiplier. 

What you'll own 

• The uh-amazon codebase end-to-end — the FastAPI middleware, the agent fleet, the self-hosted agent platform, and the deploy pipeline 
• The write side, behind staged approval gates — the order-management bridge first, then ads execution, repricing, and listing-push agents, each earning the right to act 
• Platform trust — kill the false-positive classes and fix the chronically failing agents, so the team acts on the briefs instead of second-guessing them 
• Operator self-serve — the team adds and tunes agents through the platform without touching code 

Your first 90 days 

• Ship the order-management bridge that removes the last manual step in fulfillment 
• Ship the first ads-execution agent behind a human approval gate, working the platform's existing recommendation lists 
• Eliminate the top false-positive classes in the daily briefs 

What we're looking for 

• Strong Python (FastAPI or similar) and real API-integration depth — OAuth, rate limits, retries, idempotency; you have built against messy third-party APIs in production 
• LLM-agent experience — you have built tool-using agents or LLM pipelines, designed prompts and tool schemas, and debugged why a model did something 
• Ship-fast evidence — small PRs, production ownership, comfort being the only engineer on a system 
• Comfort owning production writes against a live revenue channel, with gates and audit trails you design 

Strongly preferred 

• Amazon SP-API or Ads API experience specifically — this collapses your ramp to near zero 
• E-commerce domain (order management, marketplaces, repricing, feeds); container/orchestration experience 
• A public GitHub with real contributions 

Software Development Engineer

📍 Bangalore (On-site) · Reporting to the CTO · 2–7 years experience

We're hiring a Software Development Engineer to build the systems that keep real-world operations running - from customer-facing products to the internal tools field teams rely on every morning. If you want your code to matter to people standing in a warehouse or walking a route, not just to a dashboard, read on.

What you'll do

• Design, build, and ship across the stack: backend services, APIs, mobile and web field apps, and operational dashboards
• Build the systems that run daily operations: deployment, attendance, check-in/check-out, work verification, and issue resolution
• Make products work where the network doesn't — offline-first and vernacular-first experiences built for field-heavy, low-connectivity conditions
• Own features end to end, from design discussions to deployment to on-call
• Work shoulder to shoulder with Product, Ops, and field users to solve what's actually happening on the ground
• Contribute to the data pipelines and analytics that power planning, forecasting, and unit economics

What we're looking for

• 2–7 years building and shipping production software
• Comfortable across the stack, or deep in one area and eager to stretch
• A strong ownership mindset — you ship, you debug production issues at odd hours, and you care whether it actually works for the user
• Pragmatic with trade-offs, able to balance speed against quality without losing either
• Bonus: experience building for low-bandwidth, offline-first, next-billion-user contexts

About the Role

We are looking for a passionate AI Engineer Intern (B.Tech, M.Tech / M.S. or equivalent) with strong foundations in Artificial Intelligence, Computer Vision, and Deep Learning to join our R&D team.

You will help us build and train realistic face-swap and deepfake video models, powering the next generation of AI-driven video synthesis technology.

This is a remote, individual-contributor role offering exposure to cutting-edge AI model development in a startup-like environment.

Key Responsibilities

• Research, implement, and fine-tune face-swap / deepfake architectures (e.g., FaceSwap, SimSwap, DeepFaceLab, LatentSync, Wav2Lip).
• Train and optimize models for realistic facial reenactment and temporal consistency.
• Work with GANs, VAEs, and diffusion models for video synthesis.
• Handle dataset creation, cleaning, and augmentation for face-video tasks.
• Collaborate with the AI core team to deploy trained models in production environments.
• Maintain clean, modular, and reproducible pipelines using Git and experiment-tracking tools.

Required Qualifications

• B.Tech, M.Tech / M.S. (or equivalent) in AI / ML / Computer Vision / Deep Learning.
• Certifications in AI or Deep Learning (DeepLearning.AI, NVIDIA DLI, Coursera, etc.).
• Proficiency in PyTorch or TensorFlow, OpenCV, FFmpeg.
• Understanding of CNNs, Autoencoders, GANs, Diffusion Models.
• Familiarity with datasets like CelebA, VoxCeleb, FFHQ, DFDC, etc.
• Good grasp of data preprocessing, model evaluation, and performance tuning.

Preferred Skills

• Prior hands-on experience with face-swap or lip-sync frameworks.
• Exposure to 3D morphable models, NeRF, motion transfer, or facial landmark tracking.
• Knowledge of multi-GPU training and model optimization.
• Familiarity with Rust / Python backend integration for inference pipelines.

What We Offer

• Work directly on production-grade AI video synthesis systems.
• Remote-first, flexible working hours.
• Mentorship from senior AI researchers and engineers.
• Opportunity to transition into a full-time role upon outstanding performance.

Location: Remote | Stipend: ₹10,000/month | Duration: 3–6 months

Relevant Experience

3 to 10 years

Job Description and Key Skills Required:

• Hands-on with any of the programming languages like NodeJS/ExpressJS, Python, Java, Php or any.
• Design and create efficient RESTful API endpoints for both internal and public consumption
• Strong understanding of database technologies such as MySQL, Postgress, Oracle , relational Database.
• Work closely with front end developers to understand required data model
• Comfortable deploying applications on AWS, and have a strong working knowledge of EC2, RDS and S3.
• Must understand overall system design, architecture , improve design and implement new processes.
• Strong understanding of sessions, cookies & local storage is must.
• Experience with in memory databases like redis basic, Memcache
• Independently think of solutions to complex requirements; possess exceptional logical skills.
• Analyse current products in development, including performance, scalability, diagnosis and troubleshooting.
• Work with the existing framework and evolve it by building reusable code & libraries
• Search and introduce new software related technologies, processes and tools.
• Bonus: You're fluent with React.
• Bonus: Interested in full-stack development.
• Bonus: Any experience of iOS/Android mobile development.
• Bonus: Experience with CI servers such as Jenkins, Travis or similar types
• Bonus: Experience with web server like Nginx