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Key Responsibilities:
- Design and develop enterprise-scale AI applications and backend platforms.
- Build and enhance backend services for Generative AI solutions, including LLM orchestration, RAG pipelines, and AI agent workflows.
- Develop high-performance AI-powered web and mobile experiences with streaming and low-latency capabilities.
- Design scalable microservices, RESTful APIs, and distributed systems using Python.
- Build cloud-native AI applications on AWS, Azure, or GCP.
- Implement monitoring, observability, logging, and performance optimisation for AI services.
- Collaborate with Product, Design, Data Science, Security, and Infrastructure teams to deliver enterprise AI solutions.
- Mentor engineers and contribute to architecture, design reviews, and engineering best practices.
- Drive technical delivery of AI initiatives while ensuring scalability, security, and reliability.
Required Skills:
- 8+ years of software engineering experience with solid expertise in backend development and distributed systems.
- 6+ years of hands-on Python development experience.
- 4+ years of experience with React.js, Next.js, and TypeScript.
- Strong experience building and deploying production-grade Generative AI applications using LLMs and RAG architectures.
- Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, or LangSmith.
- Strong knowledge of REST APIs, GraphQL, microservices, and cloud-native architectures.
- Experience with AWS, Azure, or Google Cloud Platform.
- Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and cloud deployment.
- Familiarity with vector databases, embeddings, prompt engineering, and AI model integration.
- Strong understanding of system design, scalability, security, observability, and performance optimisation.
- Excellent communication skills with experience collaborating across global engineering teams.
📌 Principal AI Engineer - Python/FastAPI (India)
🏢 HyrMe
📍 India