A Design, develop, and deploy end-to-end AI-powered applications, combining sophisticated Generative AI agents and RAG pipelines with robust full-stack architectures.
Key Accountabilities
AI Orchestration: Build and optimize autonomous agents and multi-agent systems using LLM gateways and advanced orchestration frameworks.
RAG Architecture: Design production-grade RAG pipelines utilizing various Vector DBs and complex design patterns (hybrid search, query rewriting).
Full-Stack Development: Develop interactive AI interfaces in React JS and build scalable, secure backend services using Java.
Cloud Infrastructure: Develop and deploy the entire stack on AWS, ensuring seamless integration between AI models and application layers.
Key Soft Skills
Analytical Thinking: Solid problem-solving skills with a focus on algorithm design.
Adaptability: Passion for staying current with rapidly evolving AI and Full-Stack frameworks.
Qualifications
Experience: 3+ years of professional experience in AI/ML and software engineering.
AI/ML Core: Expert Python proficiency; deep knowledge of LLMs, Prompt Engineering, and RAG.
Frontend: Hands-on experience with React JS for building data-driven dashboards and AI interfaces.
Backend: Hands-on in Java (Spring Boot preferred) for creating enterprise-grade APIs and microservices.
Data Cloud: Experience with Vector Databases (e.g., Pinecone, Weaviate) and AWS (Lambda, ECS).
Education: Degree in Computer Science, AI, Engineering, or a related field.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 AI Engineer (Pune)
🏢 Micronet%20solutions
📍 Pune
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