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Senior AI Engineer designs and deploys production AI systems and ML models to solve financial and operational challenges using Python, AWS, and GenAI tools.
Senior backend engineer building API services and data pipelines that connect a product to LLM systems, handling document retrieval and ensuring fast, reliable AI-powered results at scale.
Build backend services for intelligent automation and AI agents using Python and GenAI on Google Cloud Platform.
Oversee multiple GenAI projects for a global healthcare client, leading cross-functional teams to deliver AI-driven analytics platforms and tools using Agile practices.
Senior AI Engineer builds and scales an enterprise AI orchestration platform, integrating LLMs and RAG workflows with cloud-native services to enable secure, scalable AI solutions across a construction-tech organization.
Designs and deploys end-to-end AI workflows and integrates agentic AI into enterprise systems using Python, SQL, LangChain, APIs, and cloud infrastructure.
Partner with enterprise customers to identify and implement generative AI solutions that drive measurable business outcomes, bridging technical teams and executives while scaling best practices across industries.
Design and build enterprise agentic AI systems and hybrid workflows, integrating APIs and modern security practices while collaborating with architects to scale reliable AI services.
Build and deploy GenAI systems for enterprise customers, focusing on Text-to-SQL and semantic data modeling to scale AI solutions on Google Cloud.
Design and build cloud-native data and AI platforms on AWS and Snowflake, owning pipelines and production deployments with Python/Java.
Build and scale AI/ML services and data pipelines in Python/Java, using Docker/Kubernetes and Flask/FastAPI to enable new AI capabilities.
Build and maintain high-performance trading platforms in Java, collaborating with traders to deliver low-latency solutions using Kafka and other core Java technologies.
Design and build backend systems for a GenAI platform, focusing on LLM inference, RAG, and agent-based workflows with strong data protection and scalability.
Senior backend engineer building a multi-tenant MaaS API platform in Go, ensuring scalability, security, and observability for a global user base.
Build and deploy full-stack AI applications using Anthropic's Claude ecosystem, including agentic systems, RAG pipelines, and MCP integrations, while working embedded with clients to take AI products from idea to production.
Build and deploy scalable AI systems using LLMs and GenAI, transforming documents into knowledge graphs and automating code analysis with Python and FastAPI.
Build next-gen AI systems using LangGraph and GraphRAG to enable natural-language queries and insights from distributed data, with Python and AWS.
Builds AI-powered agents and copilots to embed into Flock Freight’s operational workflows, improving decision-making, automating tasks, and driving measurable business impact by collaborating directly with business teams.
Builds and maintains Python-based data pipelines and AI tools for financial reporting and governance at a global bank.
Build and deploy generative AI features (LLMs, RAG) and traditional ML models, owning the full lifecycle from data pipelines to production deployment.
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