Python Developer

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

AI Engineer — Vertexcover Labs

Who We Are

Vertexcover Labs is an employee-focused, engineer-run software studio. We partner with fast-growing, funded startups around the world—Rephrase.ai, Dhiwise, Dunzo, Dubdub, Xapo, Arintra etc.—to crack their toughest engineering problems. Everyone is an individual contributor; no management layers. Engineers choose the projects they work on, see each project's P&L, and share directly in the profits.

Whether it's building multi-agent systems for production, scaling ML pipelines across GPU clusters, or shipping RAG-powered products that end-users rely on—we solve hard AI problems for real companies.

A Few Problems We Are Currently Working On

• AI Agents Test-authoring agents that convert natural language into e2e tests.
• Ad-performance agents that learn what works for your brand and generate winning creatives automatically.
• Scale + MLOps Optimise ML pipelines and fix autoscaling by applying queuing theory while juggling CPU / GPU memory contention.
• RAG & Knowledge Systems Design and deploy retrieval-augmented generation pipelines—chunking strategies, embedding models, reranking, and evaluation loops.
• AI Video & Image Processing Build rendering pipelines, diffusion-model integrations, and real-time video processing at scale. You'll own at least one project like these—design, build, iterate.

Signals You're Probably the Right Fit

• Strong in at least one other language (Python, Go, Rust, TypeScript, Java …); happy to learn more.
• First principle understanding of how LLMs, embeddings, vector databases and AI Agents work
• Evidence of shipping real AI-powered software—OSS, side projects, or production features.
• Comfortable navigating the fast-moving AI landscape—papers, new model releases, evolving APIs.
• Clear written & spoken communication; async collaboration is our default.
• Self-directed—you ask for context, not permission.

How We Operate

• Project choice. Engineers vote on which engagements we take.
• Stack agnostic. We pick tools that fit the job, not the résumé.
• Pragmatic craftsmanship. Durable design, no gold-plating.
• Transparent economics. Know what your work is worth, share in the profits.
• Remote-native. Async by default; sync when it helps.

Hiring Process (Lean & Human)

1. 2–3 technical deep-dives with future teammates.
2. 30-minute culture chat.
3. Offer. No LeetCode marathons, no trick puzzles.

We read every application and reply to all candidates.

Job Description :-

• Have intermediate/advanced knowledge of Python.
• Hands-on experience with OOP in Python. Flask/Django framework, ORM with MySQL, MongoDB is a plus.
• Must have experience of writing shell scripts and configuration files. Should be proficient in bash.
• Should have excellent Linux administration capabilities.
• Working experience of SCM. Git is preferred.
• Should have knowledge of the basics of networking in Linux, and computer networks in general.
• Experience in engineering practices such as code refactoring, design patterns, design driven development, Continuous Integration.
• Understanding of Architecture of OpenStack/Kubernetes and good knowledge of standard client interfaces is a plus.
• Code contributed to OpenStack/Kubernetes community will be plus.
• Understanding of NFV and SDN domain will be plus.

Responsibilities:

• Ability to work in an existing codebase and collaborate with a diverse team
• Experience in building enterprise-scale backend REST APIs with frameworks such as Nest.js & Express.js using an API-first paradigm
• Intimate knowledge of crafting highly performant database queries
• Hands-on experience implementing relational database structures, including tables, indexes, views, etc.
• A mindset towards building systems for the cloud and DevOps fundamentals
• Working knowledge of cloud infrastructure services is good to have. If not then willingness to learn should be there.
• Focus towards building security, performance, and scalability into services from the beginning
• Experience with debugging code and troubleshooting technical issues in order to craft appropriate solutions

Experience: 9 to 16 Yrs

Notice Period: Immediate to 15 days

Job Description:

- The Lead Engineer is responsible for deriving the technical architecture, detailed design, implementation, Performance, and Scalability of the developed system.

- The individual should be capable of single-handedly understanding the requirement, liaison with the product owner and external teams; produce the technical output required.

- Strong Leadership skills to contradict, produce a new design to current trends is required.

- Should be an avid technology enthusiast with strong views on technical architecture.

Technical Skills:

1) Strong Python and Mongo DB is mandatory

2) Web Application Architecture - One Large Project Experience of Development & Maintenance

3) Knowledge in one or more frameworks like WSGI(uwsgi), Django, Flask, Web Application development

4) Exposure to Databases like MongoDB, BigQuery, Elastic Search, Redis, etc.,

5) Knowledge of Code Quality Process and Discipline (Git, Jenkins, etc)