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Build and scale backend services and infrastructure for Databricks' data and AI platform, working with distributed systems, cloud storage, and Kubernetes to support millions of cluster-hours daily.
Build and scale the backend platform that powers AI-driven travel experiences, integrating ML models and vector search for real-time personalization at global scale.
Senior Backend Developer to migrate and modernize payment file-processing pipelines from Perl to Python, orchestrating Visa/Mastercard clearing files with Airflow/CloudWatch and AWS services.
Build production-grade AI systems using LLMs and agentic architectures, splitting time between internal automation tools and client-facing AI solutions in Python/Go/TypeScript.
Build and maintain the full-stack infrastructure that connects AI agents to user data, including search pipelines, sync engines, and developer-facing APIs using Python, TypeScript, and React.
Backend engineer at a GenAI startup building scalable Go/Python systems for AI-powered avatar and video generation, serving millions of creators.
Build and optimize event-driven, distributed Python systems on AWS to extract and enrich metadata from large-scale content datasets, integrating ML/LLM components for Scribd’s media platforms.
Build full-stack web apps and AI-powered tools using React, Python, and LangChain/LangGraph, integrating RAG workflows and LLM APIs in a regulated bank’s analytics team.
Build scalable ETL pipelines and data-quality systems for renewable-energy analytics, then expose clean data via inference APIs to power ML models.
Build and scale workforce-management microservices in Ruby on Rails and Nest.js, migrating logic from a monolith and integrating with gRPC, RabbitMQ, and PostgreSQL.
Build and maintain backend services and platform tools that power Dialogue’s virtual healthcare products, focusing on reliability, security, and data pipelines.
Build backend services for data ingestion, APIs, and connectors that integrate robotics, vision streams, and AI platforms into a scalable industrial data backbone.
Build and maintain the orchestration backbone for Siemens’ Physical AI platform, designing workflow engines that coordinate data-processing, annotation, and robot task execution across distributed systems.
Build and maintain scalable FastAPI backends with Pydantic, SQLAlchemy, and Celery, focusing on clean APIs, async tasks, and PostgreSQL integrations.
Build and scale production-grade LLM applications and AI systems for enterprises, owning architecture, data pipelines, deployment, and MLOps with Python, PyTorch/TensorFlow, and cloud-native tools.
Build and scale backend services in .NET/C# for high-traffic CRUD apps, RESTful APIs, and event-driven systems using Kafka, Docker, and Kubernetes.
Lead a backend and data engineering team to build a zero-hallucination RAG platform, designing scalable data pipelines, APIs, and distributed workflows using Python, Apache Beam, FastAPI, and Temporal.
Build and optimize a large-scale INSAR geospatial data pipeline in Python/C, orchestrating cloud/HPC jobs and integrating science-driven quality checks.
Build and maintain large-scale backend services and data pipelines for paid marketing systems, integrating ad platforms like Google Ads and Meta to optimize global travel ad campaigns.
Design and build scalable Snowflake and AWS-based data pipelines with Airflow orchestration to feed analytics and AI services for enterprise clients.
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