AI Software Engineer (Python & GenAI)

Chennai - India

Monthly Salary: Not Disclosed

Experience Required: 3-6years

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Yubi formerly known as CredAvenue is re-defining global debt markets by freeing the flow of finance between borrowers lenders and investors. We are the worlds possibility platform for the discovery investment fulfillment and collection of any debt solution. At Yubi opportunities are plenty and we equip you with tools to seize it.

In March 2022 we became Indias fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million.

In 2020 we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy which means investors can lend invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.

About the Role

We are looking for an experienced Python Engineer with a passion for building intelligent agentic systems to join our engineering team. You will not just be writing scripts; you will be architecting scalable microservices and building the next generation of AI-powered features. This role is perfect for a builder who loves clean code understands distributed systems and has hands-on experience with Generative AIspecifically RAG pipelines autonomous agents and MCP (Model Context Protocol) and agent evals.

Key Responsibilities

Architect & Build: Design and develop scalable microservices using Python. You will own the lifecycle of these services from design to deployment on AWS EKS.
GenAI Implementation: Build and optimize Agentic workflows and RAG (Retrieval-Augmented Generation) pipelines. You will work on enabling LLMs to interact with external tools and data via Tool Calling.
Standards & Protocols: Implement and maintain MCP (Model Context Protocol) servers to standardize how our AI agents interface with our data and tools.
Quality Assurance: Set up and run Evals (LLM evaluations) to ensure the reliability and accuracy of our AI outputs.
Code Quality: Champion clean code principles. You will write maintainable self-documenting code and participate in rigorous code reviews.
Infrastructure: Deploy and manage applications using the AWS stack (Lambda ECS/EKS API Gateway etc.).

What We Are Looking For

Must-Have Qualifications

Experience: 35 years of professional software development experience.
Core Python: Deep expertise in Python. You understand asynchronous programming (asyncio) type hinting and modern Python design patterns.
Microservices: Proven experience designing loosely coupled microservices. You understand REST APIs event-driven architecture and containerization (Docker).
Generative AI Stack:

Hands-on experience building RAG systems.
Experience working with Vector Databases (e.g. Pinecone Milvus Qdrant or pgvector).
Understanding of Tool Calling/Function Calling with LLMs.
Experience setting up Evals to test model performance.
Specific Requirement: Familiarity with or implementation of MCP (Model Context Protocol) servers.

Cloud (AWS): Solid experience with AWS services particularly serverless and container orchestration.

Highly Preferred

Public Portfolio: A GitHub profile demonstrating your coding style open-source contributions or personal AI/LLM projects. Please include this in your application.
Experience with orchestration frameworks like LangChain LangGraph or LlamaIndex.
Knowledge of Infrastructure as Code (Terraform or CDK).

Note

Please submit your resume and a link to your GitHub portfolio. We are specifically interested in seeing how you structure your code and any AI/Agentic experiments you have built.

Required Skills:

Bachelors degree in Computer Science Engineering or related technical field Experience working on Start-up Product(B2BB2CSaas Space) Experience managing projects across cross-functional teams building sustainable processes and coordinating release schedules 3-5 years of experience with any of these skills ( DeveloperQA Product or any technical stream of SDLC) Experience in managing projects using project management software such as JIRA Trello or Asana Ability to work independently and manage multiple priorities Excellent communication and interpersonal skills

In March 2022 we became Indias fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million.

About the Role

We are looking for an experienced Python Engineer with a passion for building intelligent agentic systems to join our engineering team. You will not just be writing scripts; you will be architecting scalable microservices and building the next generation of AI-powered features. This role is perfect for a builder who loves clean code understands distributed systems and has hands-on experience with Generative AIspecifically RAG pipelines autonomous agents and MCP (Model Context Protocol) and agent evals.

Key Responsibilities

Architect & Build: Design and develop scalable microservices using Python. You will own the lifecycle of these services from design to deployment on AWS EKS.
GenAI Implementation: Build and optimize Agentic workflows and RAG (Retrieval-Augmented Generation) pipelines. You will work on enabling LLMs to interact with external tools and data via Tool Calling.
Standards & Protocols: Implement and maintain MCP (Model Context Protocol) servers to standardize how our AI agents interface with our data and tools.
Quality Assurance: Set up and run Evals (LLM evaluations) to ensure the reliability and accuracy of our AI outputs.
Code Quality: Champion clean code principles. You will write maintainable self-documenting code and participate in rigorous code reviews.
Infrastructure: Deploy and manage applications using the AWS stack (Lambda ECS/EKS API Gateway etc.).

What We Are Looking For

Must-Have Qualifications

Experience: 35 years of professional software development experience.
Core Python: Deep expertise in Python. You understand asynchronous programming (asyncio) type hinting and modern Python design patterns.
Microservices: Proven experience designing loosely coupled microservices. You understand REST APIs event-driven architecture and containerization (Docker).
Generative AI Stack:

Hands-on experience building RAG systems.
Experience working with Vector Databases (e.g. Pinecone Milvus Qdrant or pgvector).
Understanding of Tool Calling/Function Calling with LLMs.
Experience setting up Evals to test model performance.
Specific Requirement: Familiarity with or implementation of MCP (Model Context Protocol) servers.

Cloud (AWS): Solid experience with AWS services particularly serverless and container orchestration.

Highly Preferred

Public Portfolio: A GitHub profile demonstrating your coding style open-source contributions or personal AI/LLM projects. Please include this in your application.
Experience with orchestration frameworks like LangChain LangGraph or LlamaIndex.
Knowledge of Infrastructure as Code (Terraform or CDK).

Note

Please submit your resume and a link to your GitHub portfolio. We are specifically interested in seeing how you structure your code and any AI/Agentic experiments you have built.

Required Skills:

Company Industry

IT Services and IT Consulting

Key Skills

APIs
Docker
Jenkins
REST
Python
AWS
NoSQL
MySQL
JavaScript
Postgresql
Django
GIT

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AI Software Engineer (Python & GenAI)

Chennai - India

Job Summary

About the Role

Key Responsibilities

Architect & Build: Design and develop scalable microservices using Python. You will own the lifecycle of these services from design to deployment on AWS EKS.

GenAI Implementation: Build and optimize Agentic workflows and RAG (Retrieval-Augmented Generation) pipelines. You will work on enabling LLMs to interact with external tools and data via Tool Calling.

Standards & Protocols: Implement and maintain MCP (Model Context Protocol) servers to standardize how our AI agents interface with our data and tools.

Quality Assurance: Set up and run Evals (LLM evaluations) to ensure the reliability and accuracy of our AI outputs.

Code Quality: Champion clean code principles. You will write maintainable self-documenting code and participate in rigorous code reviews.

Infrastructure: Deploy and manage applications using the AWS stack (Lambda ECS/EKS API Gateway etc.).

What We Are Looking For

Must-Have Qualifications

Experience: 35 years of professional software development experience.

Core Python: Deep expertise in Python. You understand asynchronous programming (asyncio) type hinting and modern Python design patterns.

Microservices: Proven experience designing loosely coupled microservices. You understand REST APIs event-driven architecture and containerization (Docker).

Generative AI Stack:

Hands-on experience building RAG systems.

Experience working with Vector Databases (e.g. Pinecone Milvus Qdrant or pgvector).

Understanding of Tool Calling/Function Calling with LLMs.

Experience setting up Evals to test model performance.

Specific Requirement: Familiarity with or implementation of MCP (Model Context Protocol) servers.

Cloud (AWS): Solid experience with AWS services particularly serverless and container orchestration.

Highly Preferred

Public Portfolio: A GitHub profile demonstrating your coding style open-source contributions or personal AI/LLM projects. Please include this in your application.

Experience with orchestration frameworks like LangChain LangGraph or LlamaIndex.

Knowledge of Infrastructure as Code (Terraform or CDK).

Note

Please submit your resume and a link to your GitHub portfolio. We are specifically interested in seeing how you structure your code and any AI/Agentic experiments you have built.

About the Role

Key Responsibilities

Architect & Build: Design and develop scalable microservices using Python. You will own the lifecycle of these services from design to deployment on AWS EKS.

GenAI Implementation: Build and optimize Agentic workflows and RAG (Retrieval-Augmented Generation) pipelines. You will work on enabling LLMs to interact with external tools and data via Tool Calling.

Standards & Protocols: Implement and maintain MCP (Model Context Protocol) servers to standardize how our AI agents interface with our data and tools.

Quality Assurance: Set up and run Evals (LLM evaluations) to ensure the reliability and accuracy of our AI outputs.

Code Quality: Champion clean code principles. You will write maintainable self-documenting code and participate in rigorous code reviews.

Infrastructure: Deploy and manage applications using the AWS stack (Lambda ECS/EKS API Gateway etc.).

What We Are Looking For

Must-Have Qualifications

Experience: 35 years of professional software development experience.

Core Python: Deep expertise in Python. You understand asynchronous programming (asyncio) type hinting and modern Python design patterns.

Microservices: Proven experience designing loosely coupled microservices. You understand REST APIs event-driven architecture and containerization (Docker).

Generative AI Stack:

Hands-on experience building RAG systems.

Experience working with Vector Databases (e.g. Pinecone Milvus Qdrant or pgvector).

Understanding of Tool Calling/Function Calling with LLMs.

Experience setting up Evals to test model performance.

Specific Requirement: Familiarity with or implementation of MCP (Model Context Protocol) servers.

Cloud (AWS): Solid experience with AWS services particularly serverless and container orchestration.

Highly Preferred

Public Portfolio: A GitHub profile demonstrating your coding style open-source contributions or personal AI/LLM projects. Please include this in your application.

Experience with orchestration frameworks like LangChain LangGraph or LlamaIndex.

Knowledge of Infrastructure as Code (Terraform or CDK).

Note

Please submit your resume and a link to your GitHub portfolio. We are specifically interested in seeing how you structure your code and any AI/Agentic experiments you have built.

Company Industry

Key Skills

About Company

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