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Builds backend infrastructure and APIs to connect Lyft with AI ecosystems and multimodal interfaces, enabling third-party agents to interact with Lyft services.
Lead AI/ML model development for enterprise-scale financial data reconciliation, deploying Agentic AI and LLMs to optimize banking operations and risk processes.
Build and deploy agentic AI systems for clients, designing multi-agent workflows, RAG pipelines, and tool-using LLMs with AWS Bedrock and LangChain, while owning end-to-end delivery from architecture to production.
Build and ship the AI backbone for a property-management assistant: RAG pipelines, multi-step agent workflows, and LLM integrations that power daily operations for 20,000+ HOA and condo communities.
Lead the architecture and development of large-scale RAG and NLP systems for vertical AI platforms, using PyTorch, vector databases, and probabilistic modeling to deliver predictive intelligence for high-stakes industries.
Build and maintain Python-based backend services for an AI tool that streamlines pharmaceutical regulatory reviews using FastAPI, PostgreSQL, Celery, and Azure.
Principal Data Engineer builds and scales AI-native data infrastructure for LLM-powered security products, including RAG and agentic systems at Exabyte scale.
Build AI-powered automations and integrations to streamline marketing workflows and sales enablement at a cybersecurity company.
Forward-deployed ML engineer partners with clients to deploy Mistral’s AI models, fine-tuning and integrating them into production systems while bridging technical and business stakeholders.
Build LLM-powered agents to automate code generation, testing, reviews, and deployment, integrating AI into Lattice’s software toolchain.
Build and productionize LLM-powered AI agents and orchestration systems using NLP, retrieval-augmented generation, and agent workflows to enhance customer-experience analytics.
Principal Data Engineer designs and builds scalable cloud data pipelines using Snowflake, Databricks, and AWS, while integrating AI agents for automated data quality and transformation workflows.
Builds and maintains enterprise-grade Python (FastAPI) backends and React.js frontends, deploys on AWS, and works with SQL/NoSQL databases and Kubernetes.
Build and deploy multi-step AI agents using Python, LangChain/LangGraph/ADK, and GCP’s Vertex AI suite for text/code generation and tool use.
Build and deploy Python-based AI solutions, integrating LLMs and RAG architectures with vector databases for enterprise clients in a hybrid Warsaw role.
Build and deploy Python-based AI solutions, integrating LLMs and RAG architectures with vector databases for production use in a global consulting firm undergoing AI transformation.
Builds Python-based backends and integrates Generative AI models (LLMs, RAG, LangChain) into international projects, working with PostgreSQL/MySQL and collaborating with a remote team.
Build and deploy NLP models and LLM-powered backends using Python, FastAPI, PyTorch/TensorFlow, and cloud tools like Google Cloud and Airflow.
Senior Python developer building AI/GenAI solutions, integrating LLMs and RAG pipelines, and moving POCs to production in a financial IT environment.
Build and maintain web apps in Python/Flask, ETL pipelines with ClickHouse, and AI-driven features (LLM APIs, ML models) for an ad-tech product.
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