AI Software Engineer

As an AI Software Engineer at our company, you will be an integral part of our advanced AI development team. Your primary responsibilities will include designing, building, and deploying enterprise-grade AI-driven applications utilizing cutting-edge technologies such as LangChain, LangGraph, and Azure OpenAI. Your role will involve developing full-stack solutions that incorporate large language models (LLMs), creating secure and scalable cloud-native systems, and contributing to the platform's architecture and performance optimization. To excel in this position, you must possess deep technical expertise in backend and frontend development, exceptional problem-solving skills, and a strong enthusiasm for AI-driven innovation. Key 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 enhance 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 utilizing 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. Mandatory Qualifications & Experience: Technical Stack: Languages & Frameworks: Python, FastAPI, Node.js, React, TypeScript, JavaScript AI Tools: LangChain, LangGraph, Azure OpenAI, Prompt Engineering, OpenAI SDK Cloud Platforms: AWS (Secrets Manager, ECS/EC2, IAM), Azure (DevOps, AD), GCP DevOps Tools: GitHub Actions, Azure DevOps, Docker, CI/CD: MongoDB (Motor, Beanie), Redis, Vector DBs (e.g., Pinecone) Security: OAuth2, SAML, JWT, Azure Active Directory (ref: hirist.tech),