Python Backend Engineer Remote Full - Time AS347

Smart Working; New Delhi; Remote; INR 1,800,000 - 3,400,000; Full time

Job summary

Smart Working is seeking a Backend Engineer (Python) to build an AI-native cybersecurity platform. You will contribute to backend systems supporting security detection, investigation, and AI-assisted resolution, reporting to the VP of Engineering.

The team emphasizes ownership, autonomy, and customer-focused delivery. You will join 14+ engineers across Backend, DevOps, Endpoint, Frontend and Design, with a flat structure and a single-owner model per project.

Qualifications

• 5+ years of software engineering experience.
• 5+ years of production Python development experience.
• Experience using AI agents and frontier AI models to build software.

Responsibilities

• Build the Agent Control Plane to run and manage fleets of AI agents.
• Design, develop and deliver Python services using FastAPI/Flask for security detection and AI-assisted resolution.
• Develop AI agent layer with tool calling, MCP integrations and human approval before live actions.
• Model and query large security datasets using ClickHouse with tenant isolation.
• Own assigned projects end-to-end from requirements to delivery and customer outcomes.
• Engage directly with customers to understand requirements and resolve problems.

Skills

Python development

AI agents

LLMs

API design

Distributed systems

Testing & observability

Ownership & delivery

Customer focus

Autonomy

Tools

FastAPI

Flask

ClickHouse

Job description

Job Description:

About Smart Working

At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.

Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.

Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the Role

As a Backend Engineer (Python), you will contribute to building an AI-native cybersecurity platform, helping customers operate and manage their own fleets of AI agents. You will develop backend systems supporting security detection, investigation and AI-assisted resolution.

You will join a team of 14+ engineers across Backend, DevOps, Endpoint, Frontend and Design, reporting to the VP of Engineering and AI. The team follows a flat structure and a single-owner model, with one engineer per discipline per project.

This role is suited to an autonomous, customer-focused engineer who takes end-to-end ownership, collaborates effectively and uses AI to deliver high-impact solutions.

Responsibilities

• Build the Agent Control Plane, enabling customers to run and manage their own fleet of AI agents.
• Design, develop and deliver Python services using FastAPI and Flask for security detection, investigation and AI-assisted resolution.
• Build the AI agent layer, including tool calling, Model Context Protocol (MCP) integrations and human approval mechanisms before actions are performed on live systems.
• Model and query large security datasets using ClickHouse, ensuring strict tenant isolation.
• Take end-to-end ownership of assigned projects, from understanding customer problems through to delivering solutions.
• Engage directly with customers to understand their requirements and ensure their problems are resolved.
• Independently manage priorities and deliver high-impact work while maintaining continuous communication and collaboration with the team.
• Use AI agents and frontier models to learn unfamiliar technologies, navigate unfamiliar codebases and manage multiple projects.
• Manage two major projects alongside smaller AI-driven tasks.

Requirements

• Minimum 5 years of overall software engineering experience.
• Minimum 5 years of hands‑on production Python development experience.
• Daily, hands‑on experience using AI agents and frontier AI models to build software.
• Demonstrated ability to use LLMs independently to learn unfamiliar technical areas, work across unfamiliar codebases and deliver software solutions.
• Experience in system design for distributed services.
• Strong understanding of API design and data modelling.
• High standards for software testing, correctness and observability.
• Ability to take complete ownership of features and projects, from understanding customer requirements to resolving customer problems.
• Strong customer focus, with a willingness to communicate directly with customers rather than simply completing assigned tickets.
• Ability to identify urgent priorities, respond quickly and focus on delivering work with the greatest impact.
• Ability to work autonomously, set priorities and make decisions without constant supervision while maintaining effective communication and collaboration.
• A growth mindset, with openness to constructive criticism, willingness to discard or rework code and projects when necessary, and commitment to improving the wider team.
• A trustworthy and accountable approach, demonstrating honesty, attention to detail, early communication of problems and consistent delivery.
• Ability to work effectively with colleagues rather than in isolation.
• Ability to clearly explain technical decisions, implementation approaches and solutions.
• Willingness to own projects end to end.
• Availability to work remotely during UK working hours.
• Ability to join as soon as possible.

Nice to Have

• Experience with FastAPI or Flask.
• Experience with ClickHouse or other columnar analytics databases.
• Production experience with agent harnesses, LLM tool use, Model Context Protocol (MCP) or Retrieval‑Augmented Generation (RAG).
• Experience developing or maintaining multi‑tenant SaaS platforms.
• Experience in cybersecurity, detection engineering or large‑scale event processing.
• Some experience with C++ or TypeScript.