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Builds cloud-native, AI-driven systems and data pipelines in Python, focusing on scalable microservices, event-driven workflows, and agentic automation for near-real-time decision engines.
Build and maintain Visa’s large-scale Hadoop and cloud-based big-data platforms, write Python/Java services, and integrate Generative AI to automate operations and improve system reliability.
Build and deploy LLM-powered tools, RAG systems, and agentic workflows for autonomous aircraft systems, focusing on retrieval quality, tool integrations, and production-grade AI infrastructure on Kubernetes.
Senior full-stack engineer building cloud-scale systems for regulated fintech/e-commerce, integrating AI tools and CI/CD pipelines to manage demand, risk, and efficiency.
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that…
Build and deploy enterprise generative AI apps using Azure OpenAI, LangChain, and RAG pipelines; integrate LLMs into microservices and agent workflows.
Build and scale AI-powered agent systems and backend services for a climate-focused SaaS platform using Python, Django, and AWS, with LLM frameworks like LangGraph and LangChain.
Architect and build high-throughput, low-latency FastAPI microservices for a cloud-native backend, using async Python, PostgreSQL, Redis, and Kubernetes.
Lead the design, training, and deployment of production-grade ML models in Python for high-growth clients, using cloud infrastructure and MLOps tooling to drive business decisions.
Builds and deploys secure, scalable AI systems in AWS/Azure, turning prototypes into production-grade platforms for legal ediscovery and case management using Python, Docker, Kubernetes, and CI/CD.
Build and deploy AI/ML models (LLMs, NLP, deep learning) for client projects, from requirements to production, using Python, SQL, and cloud tools (AWS/GCP/Azure).
Builds Catalyst, the software platform powering Ginkgo’s automated bioengineering lab, including hardware interfaces, AI agent workflows, scheduling, and data APIs.
Builds Catalyst, Ginkgo’s AI-driven lab-automation platform, integrating hardware drivers, orchestration, APIs, and agentic workflows to power bioengineering foundries.
Design and build scalable data pipelines using Databricks, Snowflake, and Spark, leading architecture decisions and optimizing performance across AWS/GCP/Azure for client projects.
Build and scale DRESSX’s digital fashion platform using Django, Next.js, and AI agentic workflows with n8n and Claude APIs.
Develops AI/ML solutions for warehouse design automation, working with LLMs, RAG pipelines, and integrating models via FastAPI. Core technologies include Python, PyTorch, TensorFlow, Docker, and cloud infrastructure on Yandex Cloud.
Design enterprise AI solutions using generative agents, RAG, and ITSM/AIOps workflows to automate IT support, diagnostics, and operations with human-in-the-loop oversight.
Lead a DevOps team to build and secure a multi-region Kubernetes platform for a crypto-compliance company, using GitOps, service meshes, and zero-trust security.
Automates and AI-enhances testing of complex monetization schemes in a large enterprise ERP stack, using Java, CI/CD, and LLM agents to validate financial calculations and integrations.
Build and deploy full-stack AI applications for enterprise clients using Google's AI stack, including Gemini models, Vertex AI, and agentic systems, from frontend to production deployment.
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