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Build and maintain cloud-native geospatial platforms that ingest, process, and serve Earth Observation data using open standards like STAC/OGC APIs and tools such as GDAL, Xarray, and Kubernetes.
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Build, document, and optimize production-grade AI/ML pipelines and model integration layers using Python, PyTorch, and vector databases.
Build scalable data pipelines and AI-facing integrations to power an enterprise data platform and Agentic AI systems using Python, SQL, cloud platforms, and vector databases.
Build and own the core architecture of ThrivoOS, a platform for founder-led wealth managers, combining event-sourced backend, AI workflows, and regulatory-grade compliance under MiFID II and BaFin.
Builds and ships production-grade AI features for a retail merchandising platform using LLMs, RAG, and agentic AI systems in Python.
Build and deploy secure AI-powered web apps in a restricted DoD environment using Python, React, and RAG pipelines with LLMs like Llama 3.
Build a data-driven Creative Engine for a performance ad agency: design pipelines, LLM video analysis, and semantic search to turn ad performance into queryable insights for strategists.
Build production-grade AI systems and data pipelines end-to-end, from schema design and ETL to FastAPI services and Next.js frontends, using AI coding agents as a daily accelerator.
Build and maintain an AI-driven platform that automates product data categorization and enrichment using Java/Spring Boot, Python, Kafka, and LLMs on Azure Kubernetes Service.
Designs and deploys secure, scalable agentic AI systems (multi-agent architectures, RAG, tool orchestration) for enterprise clients, ensuring reliability, observability, and compliance with safety policies while driving measurable business impact.
Builds and maintains ML pipelines and serving infrastructure for an AI-agent platform, focusing on LLM inference optimization, GPU cluster management, and scalable deployment across cloud and on-prem environments.
Build and maintain unstructured-data pipelines for a private investment group: capture emails, Slack, calls, and documents; resolve identities; embed and load into vector/graph stores; and enforce PII handling and access controls.
Senior Software Engineer, Full Stack Department: Engineering Location: remote Employment Type: FullTime About the Role We're an early-stage, venture-backed AI-native healthtech startup building an intelligent…
Build and improve DeepConnect, a semantic-layer RAG pipeline that turns unstructured enterprise data into AI-ready knowledge, using vector search, hybrid retrieval, and agent integrations.
Build and deploy LLM-powered multi-agent systems using Google ADK or LangGraph, focusing on RAG, tool use, orchestration, and production-grade reliability.
Build and deploy cloud-native AI data pipelines, vector databases, and LLM-powered systems to support federal missions like defense and healthcare.
Build and lead an enterprise-scale AI platform that powers compliant, on-brand marketing content generation using RAG, vector search, and prompt MLOps for Capital One’s marketing systems.
Designs scalable, multi-modal healthcare data architectures to integrate EHR, genomics, and imaging data for AI-driven clinical insights, ensuring real-time accessibility and agent-ready workflows.
A Senior DevOps Engineer designs, maintains, and optimizes cloud infrastructure (AWS/GCP) for a B2B tech review platform, automates CI/CD pipelines, and collaborates with a small R&D team to improve system reliability and scale AI/ML workloads using Kubernetes, Terraform, and Ruby on Rails.
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