Lead Engineer

Job Title: Backend Engineer – Python (AI Backend)

Location: Bangalore, India

Experience: 1–2 Years

Job Description

We are looking for a Backend Engineer with strong Python skills and hands-on exposure to AI-based applications. The candidate will be responsible for developing scalable backend services and supporting AI-powered systems such as LLM integrations, AI agents, and RAG pipelines.

Key Responsibilities

• Develop and maintain backend services using Python (FastAPI preferred)
• Build and manage RESTful APIs for frontend and AI integrations
• Support development of AI-driven features (LLMs, RAG systems, AI agents)
• Design and maintain both monolithic and microservices architectures
• Optimize database performance and backend scalability
• Work with DevOps for Docker-based deployments

Required Skills

• Strong experience in Python backend development
• Hands-on experience with FastAPI / Django / Flask
• Knowledge of REST APIs and microservices
• Experience with AI applications (LLM usage, prompt engineering basics)
• Database knowledge: MongoDB, PostgreSQL or MySQL
• Experience with Docker and basic cloud platforms (AWS/GCP/Azure)
• Hands-on experience with Redis for caching and in-memory storage

Good to Have

• Experience integrating payment gateways (Razorpay, Stripe, PayU, etc.)
• Exposure to event-driven architectures using RabbitMQ, Kafka, or Redis Streams
• Kubernetes
• Understanding of model fine-tuning concepts

Job Summary:

We are seeking an experienced and highly motivated Senior Python Developer to join our dynamic and growing engineering team. This role is ideal for a seasoned Python expert who thrives in a fast-paced, collaborative environment and has deep experience building scalable applications, working with cloud platforms, and automating infrastructure.

Key Responsibilities:

Develop and maintain scalable backend services and APIs using Python, with a strong emphasis on clean architecture and maintainable code.

Design and implement RESTful APIs using frameworks such as Flask or FastAPI, and integrate with relational databases using ORM tools like SQLAlchemy.

Work with major cloud platforms (AWS, GCP, or Oracle Cloud Infrastructure) using Python SDKs to build and deploy cloud-native applications.

Automate system and infrastructure tasks using tools like Ansible, Chef, or other configuration management solutions.

Implement and support Infrastructure as Code (IaC) using Terraform or cloud-native templating tools to manage resources effectively.

Work across both Linux and Windows environments, ensuring compatibility and stability across platforms.

Required Qualifications:

5+ years of professional experience in Python development, with a strong portfolio of backend/API projects.

Strong expertise in Flask, SQLAlchemy, and other Python-based frameworks and libraries.

Proficient in asynchronous programming and event-driven architecture using tools such as asyncio, Celery, or similar.

Solid understanding and hands-on experience with cloud platforms – AWS, Google Cloud Platform, or Oracle Cloud Infrastructure.

Experience using Python SDKs for cloud services to automate provisioning, deployment, or data workflows.

Practical knowledge of Linux and Windows environments, including system-level scripting and debugging.

Automation experience using tools such as Ansible, Chef, or equivalent configuration management systems.

Experience implementing and maintaining CI/CD pipelines with industry-standard tools.

Familiarity with Docker and container orchestration concepts (e.g., Kubernetes is a plus).

Hands-on experience with Terraform or equivalent infrastructure-as-code tools for managing cloud environments.

Excellent problem-solving skills, attention to detail, and a proactive mindset.

Strong communication skills and the ability to collaborate with diverse technical teams.

Preferred Qualifications (Nice to Have):

Experience with other Python frameworks (FastAPI, Django)

Knowledge of container orchestration tools like Kubernetes

Familiarity with monitoring tools like Prometheus, Grafana, or Datadog

Prior experience working in an Agile/Scrum environment

Contributions to open-source projects or technical blogs

At Yugen, we're buildingCansoan AI-agent driven fraud Investigation platform for financial organisations. We're currently in the0-1 stageand we're looking for curious andhigh-agencyengineers to join us in this journey to shape a category defining product with global impact.

You should be eager to learn, prefer a fast-paced environment, and are excited about getting agentic systems to work in production. More importantly, no matter how tough the challenge, you're someone who's never afraid toshow up.

Responsibilities

• Develop, test, and maintain scalable backend systems (APIs, Pipelines and AI applications)
• Work with other team members (Backend, ML, Data Engineers, Product & Design) to ship features quickly
• Learn how to debug & resolve production issues to ensure system uptime
• Participate in architectural & system design discussions
• Explore new technologies and frameworks & come up with suggestions to improve existing systems

Requirements

• Strong programming skills in one or more of: Python, Go, TypeScript or similar
• Strong understanding of software development principles (OOPS, REST APIs, etc. ) and tooling such Git
• Familiarity with databases (SQL or NoSQL)
• A deep sense of curiosity and a knack for experimentation with AI applications
• You're proactive and love getting things done regardless of external factors
• Strong communication skills and a very good eye for detail

Must Have

• Excellent coding skills with strong problem-solving abilities
• Meaningful contributions to open-source projects
• Strong proof of building and deep focus. For example
• Active participation in multiple hackathons, with top-3 finishes or notable wins
• At-least 1 self-driven portfolio project that has been maintained over 4 months. Github repos with frequent commits showing continuous progress would be great.

JD-Backend Developer

Job Location: Andheri, Mumbai

Job Summary:

As a Python based Backend developer, you shall be responsible for software development of greenfield projects -an platform

for automated testing using Python as a main language. You will work with a team of developers, collaborating on projects to

create efficient and effective software solutions that meet the needs of clients or end-users in the testing domain. You will

need to have a strong understanding of Python & other languages with knowledge of test automation frameworks and tools/

libraries.

Responsibilities:

• Develop and maintain an automated testing platform using Python programming language.

• Design and implement software solutions that automate the testing process.

• Collaborate with other developers and cross-functional teams to deliver high-quality software solutions.

• Participate in code reviews, debugging, and troubleshooting to improve software quality.

• Stay up-to-date with the latest developments in Python and JavaScript programming language and related

testing frameworks and tools.

• Ensure software is delivered on-time and meets or exceeds customer expectations.

• Develop and maintain documentation related to software development processes and projects.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering or a related field.

• Proven experience as a Back-end Developer.

• Strong understanding of Python & other programming language along with its ecosystem (libraries, frameworks,

tools, etc.).

• Excellent written and verbal communication skills.

Preferences:

• Preference shall be given to local candidates

• Preference shall be given to candidates having experience in greenfield software development projects related

to automated testing.

About Merito :-

• Python developer with Django experience
• 6-8 yrs of total experience
• Strong communication is a MUST

• 3+ years of SDE work experience from Product based companies
• Experience in Java, Spring Boot, MySQL, Kafka, Hbase, AWS
  • Experience in Multi threading, distributed systems, Best practices of coding, scaling