Job description

Be at the Forefront of the Agentic AI Revolution

At Skan AI, we are pioneering the context engine for human and agentic execution, bringing context from enterprise operators, systems, and processes to power how the world's largest organizations execute their most complex, mission-critical work.

Why Skan AI

We're in hyper-growth mode at exactly the right moment in history. As enterprises race to adopt agentic AI, we're uniquely positioned to deliver the clear signal they desperately need: a platform that trains and grounds AI Agents in trillions of real execution signals, enabling reliable, compliant automation of their most complex processes.

Backed by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises.

Our diverse, collaborative team of 250+ innovators is solving category-defining challenges at the intersection of AI, process intelligence, and enterprise work. Diverse perspectives fuel breakthrough thinking, cross-functional collaboration is the norm, and our work directly transforms how Fortune 500 companies operate. We are shaping the future of work itself.

Who are we looking for

We are seeking a skilled and motivated Senior Software Developer (Python) with 5+ years of hands-on experience in designing, developing, and deploying Python-based microservices. The ideal candidate should have expertise working with cloud-native architectures using Docker and Kubernetes, and integrating services with Large Language Models (LLMs) via OpenAI APIs. You will contribute in design, development, and deployment of scalable services while working in an agile/scrum environment.

Essential Duties and Responsibilities:

Contribute in design and implementation of Python microservices hosted on Kubernetes or Docker environments.
Develop and maintain python micro-services where communication between microservices uses RabbitMQ OR similar queue based services
Contribute is design and optimize database schemas; implement data access layers using PostgreSQL and MongoDB.
Integrate LLM capabilities via OpenAI or similar APIs into microservices.
Write unit, integration, and system tests; ensure code quality and maintainability.
Track work progress and maintain up-to-date tasks on Azure Boards (or similar work item tracking systems).
Contribute in peer code reviews using Git-based tools (Azure Repos, GitHub, or similar).
Participate in Agile ceremonies (sprint planning, stand-ups, retrospectives) and collaborate effectively with cross-functional teams.

Required experience:

Programming Skills:

Strong expertise in Python (3.x), with knowledge of best practices for building scalable services.
Application of proven programming principles and patterns
Prompt engineering skill to generate code using Cursor, Co-Pilot or similar tools.

Design Skills:

Strong expertise in OOP with Python.
Good to have expertise in code design /modelling skills using UML or similar tools

Frameworks/Libraries:

Experience with popular Python frameworks – SQL Alchemy, Alembic
Experience with building custom python packages.

Containerization & Orchestration: Hands-on experience with Docker, Kubernetes (AKS or self-hosted).

Messaging Systems: Proven experience using RabbitMQ for asynchronous service communication.

Databases:

Relational: PostgreSQL (schema design, performance tuning).
NoSQL: MongoDB (data modelling, CRUD operations).

APIs & LLMs: Integration of microservices with LLMs or OpenAI APIs; handling authentication, request/response flows, and prompt engineering basics

In-depth Knowledge and Experience in the following areas:

High level understanding of following tech stack
Source control with Git (Azure Repos, GitHub).
Familiarity with container registries (ACR, Docker Hub).
Work item tracking and task management using Azure Boards (or Jira).

Experience working in Agile/Scrum methodologies, including sprint ceremonies, story point estimation, and continuous delivery.

Additional skills:

Excellent problem-solving and troubleshooting / debugging skills.
Strong understanding of RESTful API design principles.
Familiarity with observability tools (logging, metrics, tracing) is a plus.
Excellent verbal and written communication skills.
Ability to lead technical discussions and present solutions effectively.

Preferred Qualifications:

Certifications related to Kubernetes, Azure, or Python.
Exposure to implementing security best practices for containerized workloads.
Experience working with AI/ML pipelines or model deployments is a bonus.

Education:

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

This is a hybrid role based in Bangalore, with an expectation to work from the office three days a week.

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