FullStack GEN AI Engineer

First Meridian Business Services; Pune District, Chennai District, Bengaluru; Hybrid; INR 1,500,000 - 3,000,000; Full time

Job summary

First Meridian Business Services is seeking a skilled full-stack engineer to integrate generative AI into production systems. The role covers Python backend, React frontend, and Azure-hosted infrastructure to deliver scalable AI apps.

You will collaborate with cross-functional teams in an agile environment, build APIs and microservices, design data pipelines, and contribute to prompt engineering and model deployment. On-site Pune preferred.

Qualifications

• Proficient in backend development using Python.
• Strong experience with frontend frameworks using React.
• Hands-on knowledge of Microsoft Azure cloud services (Azure Foundry/Functions/Blob, Kubernetes).
• Build and manage data pipelines for AI model training/deployment.
• Experience with SQL and NoSQL databases (CosmosDB).
• Proficient in API development and management.
• Experience with CI/CD and Git workflows.
• Experience delivering event-driven architectures.
• Experience with open-source LLMs and prompts.
• Experience with agile delivery and teamwork.
• Curious and keeps up with new tech.

Responsibilities

• Build scalable web and cloud-based apps integrating generative AI models.
• Develop robust agentic architecture, APIs, and microservices using Python.
• Create user-friendly interfaces with React.
• Design and maintain Azure infrastructure for hosting and scaling AI solutions.
• Monitor and improve system performance.
• Apply best practices for secure, scalable app design, data storage, and API handling.
• Collaborate with Product Owners, Scrum Master, Lead Data Architect, UI/UX, and Application Owners to deliver user stories.
• Participate in Scrum ceremonies and maintain the team board.
• Maintain comprehensive technical documentation.

Skills

Python

React

Azure

Data pipelines

SQL/NoSQL

APIs

CI/CD

Event-driven

LLMs / embeddings

Prompt engineering

Agile

Curiosity

Tools

Python

React

Azure

CosmosDB

Git

Azure Kubernetes

SQL/NoSQL

CI/CD pipelines

LLMs

Job description

The ideal candidate will have a proven track record of working across the tech stack, from backend systems and APIs to frontend user interfaces, ensuring a seamless integration of AI models into production ready systems. The candidate will need to demonstrate he or she has a strong technical background, is curious, and has exceptional communication and problem-solving skills.

Key responsibilities include:

• Build scalable web and cloud-based applications integrating generative AI models.
• Build and maintain a robust agentic architecture, APIs, and microservices using technologies such as Python.
• Develop user friendly, responsive user interfaces using technologies such React.
• Design and maintain Azure based infrastructure for hosting and scaling AI solutions.
• Monitor and improve system performance.
• Implement best practices for secure and scalable application design, data storage, and API handling.
• Work closely with cross-functional team members, including Product Owners, Scrum Master, Lead Data Architect, UI/UX, and Application Owners to ensure the end-to-end delivery of user stories.
• Participate in Scrum ceremonies and actively maintain your cards on the scrum board.
• Maintain comprehensive technical documentation for all systems and processes.

Skills and Abilities:

• Proficient in backend development using Python.
• Strong experience with frontend frameworks using React.
• Hands-on knowledge and experience with Microsoft Azure cloud services, including Azure Foundry, Functions, Blob, and container tools such as Azure Kubernetes.
• Build and manage data pipelines ensuring high-quality data is available for AI model training and deployment.
• Experience working with structured and unstructured data that span across SQL databases and NoSQL databases such as CosmosDB.
• Proficient with API development and management.
• Experience building and working with CI/CD pipelines and version control tools like GIT.
• Experience developing and delivering event driven architectures.
• Experience in using and implementing open-source large language models such as Llama, Mistral, GPT, and assorted embedding models
• Experience doing prompt engineering.
• Experience working with agile delivery methodologies and working in an agile delivery team.
• Curious. Stays abreast of current and upcoming technologies and tools.