Software Engineer

3 days ago

Pune, Maharashtra, India Muoro Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About The Role
We are seeking a highly skilled and motivated AI Software Engineer to join our advanced AI development team.

In this role, you will play a crucial part in building, designing, and deploying enterprise-grade AI-driven applications using cutting-edge technologies like LangChain, LangGraph, and Azure OpenAI.

You will be responsible for developing full-stack solutions that integrate large language models (LLMs), implementing secure and scalable cloud-native systems, and contributing to the overall architecture and performance optimization of the platform.

Responsibilities
This role demands deep technical expertise in backend and frontend development, strong problem-solving abilities, and a passion for AI-driven Responsibilities :

  • Lead the design and development of scalable, high-performance AI-powered applications.
  • Architect and implement full-stack solutions using Python (FastAPI) for backend and React + TypeScript for frontend.
  • Build and integrate LLM-based services and autonomous AI agents using frameworks like LangChain and LangGraph.
  • Design and implement intelligent agent workflows using Azure OpenAI or similar APIs (OpenAI, Anthropic, Cohere).
  • Fine-tune prompt engineering techniques to improve the performance and contextuality of LLM interactions.
  • Optimize agent behavior and interaction flows based on application usage data and business logic.
  • Deploy, monitor, and manage applications on AWS and Azure using services such as : Azure DevOps, Azure Active Directory, AWS EC2/ECS, Secrets Manager, IAM
  • Implement continuous integration and delivery (CI/CD) pipelines via GitHub Actions, Azure DevOps, or similar tools.
  • Ensure high availability, performance, and security of cloud-native systems.
  • Design and manage NoSQL databases including MongoDB (Motor/Beanie ODM) and Redis for real-time data access and caching.
  • Optimize data retrieval, search, and storage for LLM applications using vector databases and advanced caching strategies.
  • Implement secure authentication and authorization systems using OAuth2, SAML, JWT, and Azure AD.
  • Ensure proper audit logging, access control, and data compliance across deployed applications.
  • Collaborate with product managers, designers, and QA teams to ensure seamless integration of AI features.
  • Document solution architecture, conduct root cause analysis (RCA), and prepare technical documentation for deployments and upgrades.
  • Mentor junior developers and contribute to the continuous improvement of engineering practices.

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