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Hi, Hope you''re doing great I have urgent requirements for GenAI Engineer with AWS Bedrock . If you are interested, then please share your resume. Role: GenAI Engineer with AWS Bedrock Location: Plano, TX- Hybrid…
About Sunset At its core, Sunset was founded to help founders. We started by supporting startups through shutting down, but we have since expanded into unlocking a new revenue stream for all types of businesses. In…
Builds and deploys AI-powered, agentic applications using React/TypeScript, Python/Go/Java, and LLM frameworks like LangGraph on AWS with Kubernetes.
Build and refine the React/TypeScript frontend for LangSmith, an enterprise platform that helps teams observe, test, and debug LLM applications in production.
Build and own the AI agent and backend layer in Python/FastAPI that turns business data into agentic features via LangChain/LangGraph and MCP, working closely with data and frontend teams.
Build and scale Spring Health’s AI-native platform, enabling GenAI features and MLOps best practices across the org using Python, Kubernetes, and cloud tools.
Desenvolve e mantém agentes de IA em Java/Spring Boot, integrando-os a sistemas bancários e pipelines de RAG no GCP, com foco em qualidade e modularidade.
Build and evolve Java-based AI agents for a large Latin American bank, integrating with internal systems using Spring Boot, LangChain/LangGraph, and RAG pipelines on GCP.
Build and ship core backend and platform systems for an AI-powered security tool that analyzes and secures autonomous code generation, using TypeScript, Python, AWS, and modern AI models.
Build and deploy production-grade generative AI systems using LLMs, RAG pipelines, and agentic architectures on AWS Bedrock and other platforms.
Build an AI-powered semantic graph that turns raw enterprise data into actionable insights, using LLMs and agentic workflows to drive autonomous business decisions.
Design, train, deploy, and optimize ML models and AI solutions across the full lifecycle using cloud AI platforms and frameworks like TensorFlow/PyTorch.
Support technical leadership by monitoring sprints, automating workflows with Python, and analyzing data in Excel for a remote role based in India.
Solutions Engineer partners with sales to scope, build, and deploy production AI agents for enterprise customers using LangChain’s stack.
Design and deliver enterprise-scale AI/ML and generative AI systems, including RAG, agents, and Snowflake Cortex integrations, while leading architecture reviews and client engagements.
Lead the design and optimization of database systems that power both business apps and AI-driven solutions, including vector databases and LLM integrations, while mentoring the team.
Build, deploy, and own ML/AI models (including GenAI) for pricing, personalization, and fraud detection, using Python, PyTorch/TensorFlow, and MLOps tools in a cloud-native stack.
Build and fine-tune LLMs and RAG systems using TensorFlow, PyTorch, and LangChain, while maintaining scalable ML pipelines in cloud environments like AWS or Azure.
Build and maintain AI-driven recruitment tools like agentic workflows, RAG pipelines, and multi-model orchestration to automate hiring tasks and improve recruiter efficiency.
Designs and delivers AI-native solutions using LLMs, agents, and MCP connectors, translating business needs into scalable, production-grade AI architectures.
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