Engineer • san jose 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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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
Compensation will be commensurate with experience.Locations: Cleveland, OH | Middletown, OH | Butler, PA.Duration: 6+ Months Contract-to-Hire.Interview Process: In-Person Interview.Candidates must ... Show more
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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
Bring-up, validation, and lab logistics for Embedded.Industry experience (Junior-mid).Embedded Linux & hardware troubleshooting.Handles engineering + lab shipping/inventory.Dexian stands at the... Show more
The average salary range is between $ 94,943 and $ 180,000 year , with the average salary hovering around $ 129,553 year .
The average salary range is between $ 78,157 and $ 150,000 year , with the average salary hovering around $ 104,999 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
