Backend Developer

1. Senior AI / ML Engineer

Level: Senior

Experience: 8–10 years

Function: AI / ML Engineering

Role Overview

As Senior AI / ML Engineer, you will own the intelligence layer of the platform — the agent

reasoning, orchestration, and model-integration core that determines how agents are built, how

they reason, and how they act once deployed. You will design the systems that let users

compose multi-step, tool-using agents reliably and at scale.

Key Responsibilities

• Design and build the agent orchestration and reasoning layer — planning, tool calling,

multi-agent coordination, memory, and state management.

• Integrate and abstract multiple LLM providers behind a unified, swappable model layer so

agents are not tied to a single model.

• Build and optimize RAG pipelines, embeddings, vector search, and the memory systems

agents rely on.

• Implement evaluation, guardrails, and observability for agent behavior — accuracy, safety,

latency, and cost.

• Develop the reusable agent primitives, prompt frameworks, and adaptation workflows that

the builder experience is composed from.

• Optimize inference performance, throughput, and cost across the platform's runtime.

• Contribute to the platform's AI Gateway — a unified entry point for routing, rate-limiting,

caching, and managing traffic across multiple models and providers.

• Embed AI Governance into the platform at a high level — model and prompt versioning,

audit trails, usage policies, and responsible-AI controls over how agents are built and run.

Help define AI Security practices — prompt-injection and jailbreak defenses, data privacy,

secrets handling, and safe tool / action execution for deployed agents.

• Work with the full-stack and backend engineers to expose AI capabilities through clean,

well-documented APIs that the builder and runtime consume.

Required Skills & Experience

• 8–10 years in software / ML engineering, with strong recent hands-on experience in LLMs

and agentic systems.

• Hands-on experience with agent-builder / Agent OS platforms — systems where users

build, deploy, and run AI agents — whether through established frameworks or custom-

built orchestration.

• Practical experience with agent frameworks and orchestration approaches (e.g.

LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, or equivalent custom systems).

• Expert-level Python and fluency across the modern ML / LLM stack.

• Strong understanding of RAG, vector databases (Pinecone, Weaviate, pgvector, Qdrant,

or similar), and embedding models.

• Experience with model serving, inference optimization, and LLMOps.

• Solid grasp of prompt engineering, agent evaluation, and safety / guardrails.

• Working knowledge of AI Gateway concepts (model routing, rate-limiting, caching, multi-

provider management), AI Governance (versioning, audit, usage policies, responsible AI),

and AI Security (prompt-injection defense, data privacy, secure tool execution).

• Familiarity with cloud platforms (AWS / Azure / GCP) and containerized deployment.

Nice to Have

• Experience fine-tuning or deploying open-weight models.

• Contributions to open-source agentic / LLM projects.

• Experience with streaming, function-calling, and tool-use protocols.

• 5+ years of experience
• FlaskAPI, RestAPI development experience
• Proficiency in Python programming.
• Basic knowledge of front-end development.
• Basic knowledge of Data manipulation and analysis libraries
• Code versioning and collaboration. (Git)
• Knowledge for Libraries for extracting data from websites.
• Knowledge of SQL and NoSQL databases
• Familiarity with RESTful APIs
• Familiarity with Cloud (Azure /AWS) technologies

Must have exp in Django. [ Mandatory]

• The ability to problem-solve and critically think.
• High level of knowledge of Python and the Django framework.
• Familiarity with event driven programming as well as the MVC.
• Good understanding of SQL databases.
• Good understanding of REST APIs.

Role

You will develop and maintain the key backend code and infrastructure of the company stack. You will implement AI solutions like LLMs for various tasks such as voice-based interactive systems, chatbots, and AI web apps. Ability to see projects through from start to finish with good organizational skills and attention to detail. This is a perfect role for someone who likes to build state-of-the-art AI products and work with cutting-edge AI technologies like GPT, LLAMA, etc

Qualifications 

• BS or MS in Computer Science or relevant field.
• 4+ years experience in backend software development
• Be able to design high-throughput scalable backend systems
• Eagerness to learn applied AI technologies like LLMs, prompt engineering, etc
• Proficiency in Python.
• Experience with cloud computing platforms (AWS, GCP) and technologies like Docker
• Knowledge of Rest APIs, databases (mysql, mongo, vectorDB)

• Design and build user-facing products, owning the entire process from gathering functional requirements from teams, through testing and staging, to deploying in a Python based stack
• Guide the team in making technical trade-offs
• Proactively identify bottlenecks, areas for improvement and put forth a plan to course-correct
• Design and implement maintainable backend services, including data processing pipelines, APIs and internal tools
• Coordinating with internal teams to understand user requirements and provide technical solutions

SQL DBA, IMPLEMENTATION, SQL, DBMS, DATA WAREHOUSING

We're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.

We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.

Millions of people use Notion — and this number is increasing every day. That means a million people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion. This is where you come in — to help us forge a performant and reliable path forward to the future.

• Write clean, secure, tested, and documented code.
• Design & enhance the Notion platform with new capabilities, as and when the need arises.
• Contribute to monitoring & scaling the architecture of the platform and the infrastructure.
• Write technical documentation, and contribute to determining internal processes.
• Contribute to recruiting of new backend employees

• 6+ years of experience building scalable platforms. 
• Good understanding of database (Relational Or Nosql) internals like transactions, indexes. Experience in schema design.
• 2+ years of experience working on the AWS platform, and acquaintance with technologies like Elastic Beanstalk, AWS Lambda, Elastic Load Balancer.
• Good understanding of docker internals.
• Good communication skills, good leadership skills, attention to detail, a sound understanding of algorithms, and object-oriented programming.

• You're proficient with any part of our technology stack: React, TypeScript, Node.js, Memcached, Postgres, Docker, and Elasticsearch.
• You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
• You have interests outside of technology, such as in art, history, or social sciences.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.

Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.