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21d ago

Agentic AI Software Engineer - Equipment Data Analytics

KLA Milpitas, CA

Milpitas, CA

21d ago

$136k - $200k/yr Full time Backend Developer Agentic Ai Ai Agent

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Job Description

KLA is seeking an experienced Agentic AI Software Engineer to develop next-generation, AI-driven analytics and automation capabilities for advanced semiconductor manufacturing equipment. This onsite role in Milpitas, CA focuses on building agentic AI platforms that connect equipment data, hardware telemetry, machine diagnostics, and natural-language interfaces to improve performance, reliability, and productivity.

What You Will Do

Design and develop production-quality software for AI-driven equipment diagnostics, monitoring, and predictive maintenance.
Build and enhance Agentic AI frameworks that connect large language models (LLMs) with engineering and equipment data systems.
Create software components that integrate with hardware platforms, equipment telemetry streams, machine control systems, and manufacturing data sources.
Integrate AI capabilities with scalable data platforms, including streaming architectures, NoSQL databases, vector databases, and knowledge management systems.
Develop secure APIs, services, and orchestration layers to enable intelligent workflows and automated decision-making.
Implement high-performance data pipelines that convert equipment and operational data into actionable insights.
Develop user-focused experiences through modern web applications that streamline troubleshooting and equipment diagnostics.
Collaborate with software, systems, hardware, data science, and product engineering teams to deliver end-to-end solutions.
Deploy and support solutions that operate in highly secure, customer-controlled semiconductor manufacturing environments.
Own software design quality, testing strategy, and continuous improvement for the platform.

Required Qualifications

BS or MS in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field.
5+ years of professional software engineering experience building production applications.
Strong programming skills in Python and at least one object-oriented language such as Java, C++, or C#.
Experience building scalable backend services, APIs, databases, and distributed software systems.
Experience with hardware-integrated software systems, including industrial equipment, manufacturing systems, instrumentation, embedded interfaces, controls software, telemetry systems, or IoT platforms.
Experience developing data-intensive applications using SQL, NoSQL, streaming platforms, or large-scale data processing technologies.
Familiarity with cloud-native development, CI/CD pipelines, source control, automated testing, and modern software engineering practices.
Strong analytical and troubleshooting skills, with the ability to work across multidisciplinary engineering teams.

Preferred Qualifications

Experience with semiconductor equipment, manufacturing systems, inspection systems, industrial automation, robotics, or scientific instrumentation.
Experience building applications using LLMs, Agentic AI frameworks, retrieval-augmented generation (RAG), tool/function calling, or AI orchestration frameworks.
Experience with vector databases, knowledge graphs, machine learning pipelines, or predictive analytics solutions.
Experience developing React-based user interfaces or modern web applications.
Knowledge of equipment diagnostics, predictive maintenance, reliability engineering, or operational analytics.
Experience deploying software in secure, disconnected, or air-gapped environments.

Technologies

Python, Java, C++, C#, LLMs
NoSQL, SQL, vector databases
Streaming architectures, knowledge management systems
CI/CD pipelines, APIs

Salary and Location

Location: Milpitas, CA (onsite)
Compensation: USD 136,300 to 199,900 per year

Minimum Qualifications (Education and Experience Equivalency)

Doctorate (Academic) Degree and 0 years related work experience; or
Master's Level Degree and 3 years related work experience; or
Bachelor's Level Degree and 5 years related work experience

Use of AI Statement

Use of AI, recording tools, or other technologies to generate, suggest, or provide responses during interviews, whether virtual or in person, is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer.

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1mo ago

Lead Applied AI Engineer II - ServiceNow

Deloitte Hermitage, TN

Hermitage, TN

1mo ago Closed

$113k - $232k/yr Full time Backend Developer Manager Agentic Ai

This position is no longer accepting applications (closed Oct 26, 2026).

Job Description

Join Deloitte to lead applied AI and agentic engineering work for high-visibility, full-stack products, with end-to-end delivery from concept through production.

Responsibilities

Drive a culture of accountability for customer and business outcomes, including the cost of achieving them.
Design and deliver engineering solutions for complex problems with valuable outcomes, emphasizing high-quality, lean designs and implementations.
Own inference, token, and cloud cost for what you build.
Act as a technical advocate to ensure code integrity, feasibility, and alignment with business and customer goals.
Lead requirement analysis; produce low-level architecture and component design.
Own development, testing, integrations, and ongoing support for delivered components.
Maintain accountability for the integrity of architecture and technical stack against enterprise standards and strategy.
Manage dependencies and take responsibility for code design, implementation, quality, data, and ongoing maintenance and operations.
Stay hands-on, self-directed, and continuously learn new approaches, languages, and frameworks.
Create technical specifications and write scalable, supportable code.
Review engineers’ code, mentor team members, and help ensure all quality KPIs are met or exceeded.
Use collaborative communication to work effectively across diverse teams.
Build lean solutions using rapid, inexpensive experimentation to address customer needs.
Engage with customers and product teams before, during, and after delivery to ensure timely delivery of the right solution.
Adopt an evidence-led, action-oriented approach to address complexity and uncertainty.
Collaborate with empowered cross-functional teams including product management, experience, and delivery.
Balance feasibility, viability, usability, and value by integrating diverse perspectives and driving consensus.
Demonstrate deep expertise in modern software engineering practices, including AI and Agentic SSDLC, to enable daily product deployments with full automation from discovery to production to operations and quality checks across the SSDLC lifecycle.
Serve as a role model for solutioning and product delivery using these techniques.
Build domain knowledge quickly and translate business and user needs, architectures, and UX/UI designs into technical specifications and code.
Support teammates, prioritize quality, and focus on tech debt payoff.
Communicate complex technical concepts clearly and influence teammates and product teams through evidence-backed trade-offs.
Create coherent technical narratives that align solutions with business objectives.
Collaborate with product engineering teams at all organizational levels, including customers as needed.
Build and maintain constructive relationships to foster co-creation and shared momentum toward product goals.
Align perspectives and drive consensus on feasible solutions.

Requirements

Bachelor’s degree in computer science, software engineering, data science, machine learning, or a related discipline.
6+ years of full-stack software engineering experience, including most of: JavaScript/TypeScript, Angular, React, NodeJS, Python, SQL/NoSQL, REST/API integrations, ServiceNow application development and deployment patterns, LangChain, LangGraph, and unit and integration testing frameworks.
3+ years building AI/ML and agentic applications, including hands-on GenAI across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration, plus applied AI capabilities on ServiceNow.
3+ years cloud-native engineering experience using FaaS, PaaS, micro-services, or enterprise platform deployment models, including Azure, AWS, GCP, and AI/ML services such as ServiceNow NowAssist, along with application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).
1+ years establishing engineering standards, including leading, mentoring, and guiding adoption and continuous improvement.
Software engineering experience with Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, plus AI-augmented spec-driven development.
Experience with methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, Automated Test Framework (ATF), MLflow, and agentic AI frameworks (for example ServiceNow NASK, MCP, LangFuse, LangSmith, or equivalent multi-agent orchestration tools).
ServiceNow engineering experience including platform architecture, workflow automation, integrations, and AI-enabled ServiceNow capabilities, with ability to translate product needs into scalable enterprise solutions.
Preferred certifications may include ServiceNow Certified System Administrator, Certified Application Developer, CIS-HRSD, CIS-Data Foundations, CIS-ITSM, CIS-IRM, CIS-SPM, AI/GenAI-focused ServiceNow credentials, or relevant cloud/AI certifications.
Must be located within commutable distance to the role location.
Ability to work in the local office at least 3 days per week.

Technologies

JavaScript/TypeScript, Angular, React, NodeJS, Python, SQL/NoSQL
REST/API integrations, ServiceNow application development and deployment patterns
LangChain, LangGraph
OpenAI, Anthropic, RAG pipelines, prompt engineering, vector databases, AI agent orchestration
ServiceNow, ServiceNow NowAssist, infrastructure-as-code, FinOps
FaaS, PaaS, micro-services; Azure, AWS, GCP
Business Context Diagrams (BCD), OOP/OOD, data structures, algorithms, code instrumentations
Unit and integration testing frameworks, XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube
Automated Test Framework (ATF), MLflow
ServiceNow NASK, MCP, LangFuse, LangSmith
ServiceNow certifications including System Administrator and Certified Application Developer; CIS-HRSD, CIS-Data Foundations, CIS-ITSM, CIS-IRM, CIS-SPM; AI/GenAI-focused ServiceNow credentials

Other

Travel: 10% average, based on work and products built.
Limited immigration sponsorship may be available.
Must be located within commutable distance and work onsite minimum of 3 days per week.

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3mo ago

Data Scientist/Sustainment Engineer

CACI Chantilly, VA

Chantilly, VA

3mo ago Closed

$104k - $218k/yr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 26, 2026).

Job Description

Join a team that prioritizes integrity, trust, and ongoing professional growth. This onsite role in Chantilly, VA blends data science with sustainment engineering, offering a competitive salary range and a comprehensive benefits package designed to support you and your family.

Location: Chantilly, VA (onsite) • Salary: USD 103,800 - 218,100 per year • Education: Bachelor’s degree

What you can expect includes a culture of integrity, an environment of trust, and a focus on continuous growth.

Benefits

Healthcare
Wellness programs
Financial benefits
Retirement benefits
Family support
Continuing education
Time off benefits

Responsibilities

Collaborate with cross functional teams to define and tackle complex analytics problems.
Analyze large datasets to uncover actionable insights.
Develop, deploy, and maintain machine learning models and algorithms.
Work with data engineers to enhance data collection and storage.
Communicate findings and recommendations clearly to stakeholders.
Support broad data management efforts including strategy, modeling, documentation, data feeds, infrastructure, ingestion automation, transformation, catalog and metadata management, quality, and governance.
Design, build, and maintain interactive Tableau dashboards and reports aligned to business objectives.
Connect Tableau to diverse data sources such as SQL databases, cloud platforms, and spreadsheets.
Stay current with Tableau features, best practices, and emerging BI trends.
Respond to incidents and changes from customers, including Tier 2 triage.
Address alerts and user-reported issues, escalate when needed, and resolve tickets using sound judgment within established practices.
Assist deployment teams with approved release packages and break-fix work on ServiceNow, following configuration, change, and release management policies.
Help develop installation instructions and supporting documentation for system design deployments.
Collaborate to provide technical input on system design, installation, configuration, tuning, capacity planning, troubleshooting, and problem resolution.
Patch cloud servers and applications, configure software, respond to outages, monitor performance, and troubleshoot issues.

Requirements

Active TS/SCI clearance with a polygraph.
5+ years of experience as a Data Scientist, Data Analyst, or related role.
Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field.
Security+ or DoD 8570 IAT Level II certification, or ability to obtain within 3 months of hire.
Proficiency with data visualization tools such as Tableau and PowerBI, including data connections, manipulation, and visualization.
Experience scripting in Tableau for automation, troubleshooting, integration, and performance optimization.
Knowledge of statistical analysis methods and data visualization tools.
Strong problem solving and attention to detail.
Excellent communication and interpersonal skills for working with business partners, engineers, and users needing fixes.
Collaborative team player with a willingness to assist others.
Ability to prioritize in a fast-moving environment with urgency and self-motivation.
Proficiency in Python, R, SQL, and other relevant programming languages.
Tableau Certified Professional is preferred.
Knowledge of cloud data platforms (AWS, Azure, Google Cloud) and data governance and security best practices.

Technologies

Tableau
PowerBI
SQL
Python
R
ServiceNow
AWS
Azure
Google Cloud

Job ID: 327207

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ITSM Data Jobs

Agentic AI Software Engineer - Equipment Data Analytics

Lead Applied AI Engineer II - ServiceNow

Data Scientist/Sustainment Engineer

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