Project Role : LLM Full Stack Engineer
Project Role Description : Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications.
Must have skills : Python Frameworks, Machine Learning (ML), Large Language Models (LLMs), Generative AI
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an LLM Full Stack Engineer, a typical day involves designing and building applications that seamlessly integrate Large Language Models with various enterprise systems. The role requires balancing front-end and back-end development tasks, creating robust application programming interfaces, and ensuring smooth deployment through DevOps methodologies. The engineer continuously works to enhance the performance and scalability of artificial intelligence solutions, collaborating with diverse teams to align technical implementations with business objectives. This agile environment fosters innovation and problem-solving to deliver cutting-edge AI-driven applications.

Roles & Responsibilities:

- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of scalable AI applications ensuring alignment with organizational goals.
- Facilitate knowledge sharing and mentorship within the team to foster continuous learning and development.




- Coordinate cross-functional efforts to integrate AI capabilities into existing enterprise platforms.

Professional & Technical Skills:

- Experience in Python development
- Strong in Fast APIs.,numpy, Pandas,Django etc
- Hands-on with Databricks and PostgreSQL/MySQL/SQL Server), SQL, and ORMs (Hibernate).
- Build/CI/CD: Maven/Gradle, Git, pipelines (Azure DevOps/GitHub Actions/Jenkins).
- Containers: Docker basic Kubernetes skills (deployment, config maps, secrets).
- Familiarity with API documentation (OpenAPI/Swagger) and JSON/REST standards.
- Solid understanding of software design patterns, clean code, and domain-driven design fundamentals.
- Cloud: Microsoft Azure (App Service, AKS, Azure SQL, Key Vault, Storage, Application Insights).
- Messaging/Streaming: Kafka/RabbitMQ asynchronous processing
- Caching: Redis, Spring Cache.
- Security: OAuth2/OIDC with Azure AD JWT token management.

- Must To Have Skills: Proficiency in Python Frameworks, Large Language Models (LLMs), Machine Learning (ML), Generative AI.
- Strong experience in developing and deploying APIs using Python-based frameworks.
- In-depth understanding of server-side technologies and their integration with AI models.
- Familiarity with DevOps practices including continuous integration and continuous deployment pipelines.
- Ability to optimize AI applications for performance, scalability, and reliability.
- Experience working with cloud platforms and containerization technologies to support AI workloads.

Additional Information:

- The candidate should have minimum 5 years of experience in Python Frameworks.
- This position is based at our Pune office.
- A 15 years full time education is required.

15 years full time education

📌 LLM Full Stack Engineer (India)
🏢 Accenture
📍 India