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Builds and maintains robust LLM-based AI agents and RAG pipelines, designs multi-step reasoning workflows, and implements quality evaluation frameworks to ensure reliable, production-grade AI systems.
Build and embed AI-powered security tooling into CI/CD to automate code review, risk classification, and remediation for a health-focused AI platform.
Builds and maintains Python-based Gen AI pipelines and data workflows on Google Cloud Platform, using Kubernetes and RabbitMQ for orchestration.
Senior ML Engineer designs, builds, and deploys cloud-based AI/ML solutions, leads MLOps practices, and mentors junior team members using Python, FastAPI, and cloud services like AWS/GCP.
Build and maintain AI/ML integrations for ClickHouse, including Python connectors, vector stores for RAG, and feature stores, enabling developers to use ClickHouse in AI workflows.
At Sensi.AI, we are on a mission to transform how society cares for every older adult in need. We leverage the power of AI and data to ensure safety, dignity, and satisfaction in every caregiver–care recipient…
Build and deploy multi-agent or agentic AI systems using Python, LLM frameworks, and cloud tools for secure production environments.
Solution Architect designs enterprise-scale GenAI/LLM systems, including RAG pipelines, agent orchestration, and secure on-prem deployments, while guiding clients through AI transformation and regulatory compliance.
Build AI agents that model and reason over live enterprise networks to automate security decisions and troubleshooting using Python, graph databases, and cloud-native tools.
Builds AI-driven automation and resilient systems to streamline internal workflows using Vertex AI, Kubernetes, and enterprise integrations.
Build and deploy AI agents, ML models, and agentic workflows to automate FPGA testing and development using Python, LLMs, and RAG pipelines.
Design and build generative AI solutions using LLMs, agent architectures, and cloud platforms for enterprise clients, from ideation to production deployment.
ML engineer builds and deploys local LLM pipelines, RAG systems, and NLP models entirely offline for a state-run transport data platform.
Build and deploy data pipelines, ML models, and generative-AI solutions for a regulated financial firm, ensuring compliance and robust analytics.
Leads the build-out of an internal AI and data platform to power non-engineering functions like Finance, HR, and Sales, using LLMs, agent frameworks, and modern data engineering.
Designs and implements AI-driven identity and access management (IAM) solutions for a healthcare-focused company, focusing on automation, governance, and cloud identity operations using tools like SailPoint, Microsoft Entra, and secrets management platforms.
Build and maintain clinical NLP and AI pipelines for a healthcare AI platform, integrating agentic frameworks (LangChain, CrewAI) and ensuring reliable, explainable AI-driven coding solutions.
Embed with banks to design and demo composable banking solutions using Java/Spring Boot, event-driven systems, and AI integrations, acting as a technical bridge between Deloitte’s platform and client needs.
Build and ship full-stack products with GenAI and agentic capabilities using modern frameworks and cloud-native AI services.
Builds full-stack cloud apps on GCP with Terraform, integrating LLMs and agentic AI to automate industrial analytics and decision-making for Ford’s mobility products.
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