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Designs, develops, and maintains scalable test automation frameworks for retail tech applications, focusing on web, mobile, API, and performance testing to improve software quality and accelerate releases.
The Staff Software Engineer will design and build autonomous AI agents using frameworks like LangChain and AutoGen to transform enterprise workflows. The role involves integrating these agents with cloud systems and optimizing them for performance and scalability using Go, Rust, or Python.
The Senior Data Engineer will design, build, and optimize cloud-native data platforms and AI-powered products for enterprise clients using Snowflake, Databricks, AWS, and Azure. This hands-on role involves developing data pipelines, implementing governance frameworks, and collaborating directly with stakeholders to deliver scalable data solutions.
QA Lead at apna owning the full quality lifecycle—manual testing, Python-based automation frameworks, and AI/LLM product evaluation (RAG, hallucination testing, prompt sensitivity) across web, mobile, and API surfaces.
Job Description As a Senior Engineer 2, you'll be part of a key team of Nordstrom Technology professionals who apply engineering and design principles to build the platform that brings Nordstrom's supplier…
The Principal Generative AI Engineer will lead the design and deployment of LLM-based automation and intelligent operations platforms within Citi's Consumer Operations Technology division. The role focuses on architecting RAG pipelines, implementing AI governance frameworks, and ensuring production-grade reliability for financial services applications.
Builds and deploys AI/GenAI solutions (LLMs, RAG, agentic systems) to improve insurance sales, fraud detection, and customer experience using Python, SQL, and cloud platforms like Azure and Databricks.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
Designs and leads GenAI and Agentic AI solutions across multi-cloud environments, focusing on RAG, AI agents, and end-to-end architecture for data, integration, and security. Works with AWS, Azure, and GCP to build scalable, production-grade AI systems with governance and LLMOps practices.
Principal Data & AI Solution Architect designs end-to-end AI and data solutions for enterprises, translating business needs into scalable architectures using cloud platforms like Azure and Databricks.
The Operations Support Cloud Engineer manages cloud infrastructure, implements incident and change management workflows, and utilizes automation tools like Terraform and Ansible to ensure system stability. The role involves monitoring applications and infrastructure while supporting DevOps practices and cloud operations across AWS, Azure, or Google Cloud.
The Research Engineer will develop Green AI technologies, focusing on model optimization, efficient inference, and large language models to improve the sustainability of AI systems. This role involves conducting experiments, benchmarking algorithms, and collaborating with cross-functional teams to translate research into practical applications.
Principal engineer on Salesforce's Developer Experience team, designing and building backend services, event-driven systems, AI agent runtimes, and RAG pipelines for a Snowflake-based lakehouse using Python/Go/Java and AWS.
Develop and deploy scalable GenAI services, chatbots, and autonomous agents using modern frameworks, Docker, and Kubernetes in on-premise environments, including RAG pipelines and MCP-based integrations.
Design, build, and support AI-powered and GenAI solutions (LLMs, agents, workflow automations) using Python within Morgan Stanley's Cyber Security Operations, collaborating across engineering, data, security, and business teams.
Senior Data Scientist collaborating with R&D scientists at Qnity Electronics in Cleveland, applying statistical modeling, machine learning, deep learning, computer vision, and generative AI/LLMs to solve scientific and engineering problems in the semiconductor and advanced electronics space.
Technical Program Manager on the Data Engineering team driving roadmap, risk, and cross-cutting programs for the firm's data curation capabilities (data modelling, APIs, SQL) and Lakehouse cloud data store, partnering closely with engineers and architects.
Senior IT Project Manager leading AI/ML/GenAI solution delivery for the FBI at Quantico, VA—driving architecture, POCs, and production deployments using LLMs, RAG, vector databases, and cloud AI platforms (Azure, AWS, Google) with Agile/Scrum practices.
Sr. GenAI Specialist Solutions Architect at AWS focused on State & Local Government and Education customers, designing GenAI architectures using Amazon Bedrock, SageMaker, and Amazon Q, leading POCs and technical deep-dives, and driving adoption of AWS AI/ML services.
Senior Product Manager leading GenAI strategy and execution for Amazon FBA's AI Science & Analytics team, building LLM-powered agents, semantic data layers, and anomaly detection systems using RAG, knowledge graphs, and agentic architectures.
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