Database engineer • sunnyvale ca
Job Description<br /> Must Have Technical/Functional Skills:<br /> • 5+ years of experience in AI/ML.Strong expertise in Python and modern software engineering practices.Hands-on e... Show more
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Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud.Amazon Redshift is a rapidly growing, fast, fully managed, petabyte-scale data wa... Show more
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Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform.To achieve this goal, we believe the data ... Show more
Senior Project Manager | Database | Teradata.Work Location: Sunnyvale CA 94085.Contract duration (in months): 12.Does this position require Visa independent candidates only? No.Must Have Skills (To... Show more
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Software Engineer II - Test Engineer This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.Who We Are: Hewlett Packard Enterpris... Show more
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Job Details: Title: Solutions Engineer Location: Sunnyvale, CA 94089 Duration: 12 months of contract | Onsite Pay Range: $90/Hr.Benefits: The Company offers the following benefits for this position... Show more
Director of Engineering, Core Database.Yugabyte is the company behind YugabyteDB, the AI-ready, multi-modal, distributed PostgreSQL database for cloud-native apps.Trusted by industry leaders includ... Show more
Sunnyvale, CA with a hybrid schedule.Interview process: 1 video then an onsite interview.ISI is looking for a candidate specialized in PostgreSQL and MongoDB.They need someone to architect and mana... Show more
Location: San Jose, CA Duration: Full Time Job Salary:$190 to $210K - Negotiable Job Description: .As a Principal Hardware Engineer, you will design, develop, and deliver mechanical assemblies,... Show more
We have an urgent below position.If you are interested, please share your updated resume with the rate expectation.Role: AV engineer Location: San Jose, California - Onsite Visa Status: GC/USC Job ... Show more
Title: Technical PM (Database Operations)<br /> Location: Sunnyvale, CA/Onsite<br /> Duration: Full Time<br /> Client: Confidential<br /> Salary Range: $80000-$140000 a year... Show more
A well-established, growing engineering firm, with a location in the area, is looking for a Professional Civil Engineer.They work hard to ensure projects are planned, designed, and managed to meet ... Show more
The average salary range is between $ 100,425 and $ 240,000 year , with the average salary hovering around $ 129,200 year .
The average salary range is between $ 110,000 and $ 177,645 year , with the average salary hovering around $ 131,215 year .
Job Description
Must Have Technical/Functional Skills:
• 5+ years of experience in AI/ML.
• 1+ years of experience building Agentic AI solutions.
• Strong expertise in Python and modern software engineering practices.
• Hands-on experience with LangGraph, LangChain, LLMs, and prompt engineering.
• Experience architecting and deploying enterprise AI applications.
• Familiarity with Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, or similar platforms.
• Strong understanding of APIs, event-driven architectures, CI/CD, and cloud deployment.
• Proven ability to lead technical initiatives and drive solution delivery.
• Excellent communication, stakeholder management, and problem-solving skills.
• Experience with enterprise data integration and AI application deployment.
Roles & Responsibilities
• Lead architecture and solution design for Agentic AI applications.
• Build and oversee development of AI agents and multi-agent systems using LangGraph and LangChain.
• Design and optimize AI workflows across multiple LLMs (GPT, Claude, Llama, etc.).
• Guide engineering teams and establish development best practices.
• Develop enterprise integrations, APIs, and event-driven AI services.
• Drive deployment, operationalization, and scalability of AI applications.
• Coordinate with platform, security, data, and product teams to ensure successful delivery.
• Leverage AI-assisted development tools such as Claude Code and Codex to accelerate engineering productivity.
Good-to-Have Skills
• Databricks
• MLOps / LLMOps
• Enterprise AI Governance and Security
• AI Monitoring and Observability
• Enterprise AI Architecture and Strategy
