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Build and maintain Java-based backend services while integrating AI features and agent workflows using modern frameworks like LangGraph or MCP.
Builds and maintains Java-based backend systems and REST APIs while integrating AI tools and agent workflows to enhance development and automation.
Build and maintain the AI platform infrastructure that powers Plum’s fintech app, using Python, FastAPI, and agentic frameworks on GCP.
Build and run the AI-SDLC platform: automate CI/CD, manage AWS/Kubernetes infrastructure, and ensure reliability, security, and cost control for AI workloads.
Builds and operates AI-driven backend services using Python, LLMs, and cloud-native microservices to create intelligent data products and scalable inference pipelines.
Backend Engineer builds scalable web apps and AI-driven agent workflows using Python, LangChain/LangGraph, and RAG pipelines to deliver intelligent agricultural solutions.
Build and maintain AI agentic backend systems using Python, LangChain/LangGraph, and vector databases to power autonomous workflows and RAG pipelines for business intelligence.
Builds scalable backend services and agentic workflows for Syngenta’s AI-powered agriculture platform, integrating LLMs with RAG pipelines and Python microservices.
Build and maintain scalable backend services and agentic workflows for AI-powered agricultural tools, using Python, LangChain/LangGraph, and RAG pipelines.
Builds and deploys LLM-powered features (agents, RAG, tools) with React/TypeScript frontends and Python or Go backends, integrating vector stores and agent frameworks.
Senior Full Stack Engineer building AI-driven applications with LLMs, LangChain/LangGraph, React, and Python; designs scalable systems integrating models, APIs, and modern UX.
Build and maintain cloud-native data pipelines and vector search infrastructure on AWS, Terraform, and Pinecone to power AI-driven products with multi-tenant architectures.
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems.
Builds and maintains the backend services and AI pipelines for an enterprise-grade conversational AI agent using Python, FastAPI/Flask, LangChain, and Google Gemini Enterprise on GCP.
Builds Python back-end services and AI pipelines for an enterprise GenAI assistant using FastAPI/Flask, LangChain, and Google Vertex AI on GCP.
Builds and maintains backend services and AI pipelines for conversational agents using Python/Go, integrating LLM APIs (Gemini/Vertex) and social data sources to power Ipsos Synthesio’s social intelligence platform.
Design and build scalable GCP data pipelines and deploy agentic AI systems using Vertex AI, LangChain, and RAG for enterprise clients.
Lead a backend and data engineering team to build a zero-hallucination AI platform using Python, Apache Beam, FastAPI, and Temporal on Google Cloud Spanner and graph databases.
Senior DevOps engineer building and operating autonomous AI agents on AWS Bedrock AgentCore, deploying React frontends on OpenShift, and managing CI/CD pipelines with Terraform and GitHub Actions.
Senior DevOps engineer builds, deploys and operates autonomous AI agents on AWS Bedrock AgentCore, orchestrated with LangChain/LangGraph and exposed via a React frontend on OpenShift.
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