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• Design, develop, and deploy AI agents and Retrieval-Augmented Generation (RAG) systems for production-grade AI workflows.
• Build and optimize agent workflows using agentic frameworks (e.g., Mastra AI or similar).
• Implement RAG pipelines with vector databases and semantic search, integrating LLMs (OpenAI, Anthropic, etc.) within applications.
• Develop backend services using Node.js and TypeScript, ensuring system scalability, security, and observability.
• Optimize prompt engineering, embeddings, and retrieval strategies for AI model accuracy and performance.
• Collaborate with product and engineering teams to translate business requirements into AI-driven solutions.
Job ID: 145445307
Skills:
Newrelic, Pytest, Unit Testing, PostgreSQL, Datadog, Sql, Lambda, Docker, ECS, Sqs, Python, AWS, CrewAI, NoSQL databases, LLM integration, vector databases, Semantic Kernel, EKS, prompt engineering, gRPC API design, observability tools, LangGraph, RAG Retrieval-Augmented Generation pipelines
Skills:
Machine Learning, Data structures, Predictive Analytics, Tensorflow, Algorithms, Nlp, MLops, Pytorch, Python, Model monitoring, Agentic systems, Scikit-learn, Ai, Statistics, Recommendation systems, versioning
Skills:
Apis, Containers, Gcp, Distributed Systems, Azure, Python, AWS, Prompt engineering, LLMs, Vector databases, GenAI systems, AI-powered products, Agent frameworks, RAG architectures
Skills:
multi-agent systems, distributed systems fundamentals, retrieval RAG context engineering, production LLM GenAI systems, inference abstractions, production APIs, model routing, AI evaluation observability feedback systems, agent runtimes, backend engineering in Python
Skills:
Bdd, PostgreSQL, Jasmine, RTK, React, Typescript, Tdd, Javascript, Docker, Scss, Jest, Karma, AWS, Express, Graphql, Redux, Dynamodb, Node.js, Mocha, Css3, Redis, TailwindCSS, Jenkins, Html5, Restful Apis, Azure, Kubernetes, PostCSS, Chai, Puppeteer, Playwright, Hapi, MaterialUI
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