{"schemaVersion":"jobsearcher.job.v1","id":"8d580f03314a5a3c86b6516f","url":"https://jobsearcher.com/jobs/8d580f03314a5a3c86b6516f","canonicalUrl":"https://jobsearcher.com/jobs/8d580f03314a5a3c86b6516f","title":"Junior AI Engineer","description":"Junior AI Engineer\r\nOnto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers' critical path of progress by making them smarter, faster and more efficient.\r\nTeam: You'll partner closely with our AI Lead Engineer and collaborate with field/service engineers who support our inspection & metrology tools across fabs.\r\nGoal: Build practical AI helpers that speed up tasks from recipe setup and troubleshooting to fleet management analytics and expert guidance from internal knowledge.\r\nAbout Us\r\nOnto Innovation is a worldwide leader in the design, development, manufacture and support of defect inspection, advanced packaging lithography, process control metrology, and data analysis systems and software used by semiconductor device manufacturers worldwide. Onto Innovation provides a full-fab solution through its families of proprietary products that provide critical yield-enhancing information and real time process control responses, enabling microelectronic device manufacturers to drive down the costs and time to market of their products. The Company's expanding portfolio of equipment and software solutions is used in both the wafer processing and final manufacturing of ICs, and in adjacent markets such as FPD, and LED manufacturing.\r\nWhat you'll do\r\nPrototype AI assistants & agents for field workflows: guided recipe setup, log triage, playbook lookups, parts/alarms advice, and fleet-wide health checks.\r\nBuild retrieval systems (RAG): ingest manuals, specs, ticket notes, recipes, logs, and best-practice docs; design chunking, embeddings, and indexing; tune prompts and retrieval for accuracy/latency.\r\nConnect AI to our tools and data: stand up MCP servers (Model Context Protocol) and other connectors to safely expose internal systems (document stores, MES, issue trackers, telemetry APIs) to LLMs.\r\nFine-tune or adapt models (e.g., LoRA/QLoRA) for domain terms, error codes, and tool-specific intents when retrieval alone isn't enough.\r\nEvaluate and harden: set up offline & online evals for groundedness/relevance; add guardrails, observability, and traceability; write runbooks.\r\nShip small apps: package prototypes behind simple APIs or lightweight UIs that field engineers can use (web chat, Slack/Teams bots, or CLI).\r\nData plumbing: parse messy PDFs/images/CSVs; normalize schemas for recipes, events, alarms, SPC/trace data.\r\nComputer Vision – understanding, defect detection, segmentation, or SEM/optical imaging.\r\nWork like an engineer: write readable Python/TypeScript, tests, and docs; use Git; participate in code reviews; iterate fast with the AI lead and domain SMEs.\r\nMinimum Qualifications\r\nBS in CS/EE/CE/ME (or equivalent experience).\r\nPython proficiency (data wrangling, APIs, packaging); comfort on Linux and with Git.\r\nBuilt at least one LLM app using a framework such as LangChain, LlamaIndex, or Semantic Kernel.\r\nHands-on with vector search (e.g., FAISS/Weaviate/Milvus) and embeddings; understands chunking, metadata, and hybrid search basics.\r\nFamiliarity with RAG and prompt engineering; can measure quality (groundedness/relevance) and reduce hallucinations.\r\nBasic backend skills (REST/JSON, auth, environment secrets); experience containerizing with Docker.\r\nComfortable reading technical manuals/logs and collaborating with non-software teammates.\r\nNice to haves\r\nWorked with agent frameworks (LangGraph, AutoGen, CrewAI) or implemented tool-calling/plan-execute loops.\r\nBuilt or configured MCP servers to connect LLMs to internal data/tools.\r\nExperience parsing complex docs (e.g., Unstructured, GROBID) and handling images/figures from manuals.\r\nExposure to semiconductor equipment or factory systems (SECS/GEM, EDA/Interface A, MES, SPC); familiarity with KLA/AMAT/TEL/ASML tool ecosystems.\r\nTime-series and log analysis (Pandas, SQL, TimescaleDB/InfluxDB), wafer map/vision background, or simple CV.\r\nModel adaptation experience (LoRA/QLoRA, PEFT) and experiment tracking (MLflow/W&B).\r\nLLM observability/evals (Ragas, TruLens, LangSmith), basic security/PII handling, and role-based access.\r\nCloud familiarity (AWS/Azure/GCP) and lightweight front-ends (React/Next.js) for internal tools.\r\nPrior work on fleet-level dashboards/analytics or recipe/parameter management.\r\nWhat success looks like (first 90 days)\r\nShip a search+chat knowledge assistant over our internal docs with clear eval dashboards for faithfulness/relevance.\r\nStand up at least one MCP connector to an internal source (e.g., SharePoint/Confluence or log store) and demo safe tool calls.\r\nDeliver a focused POC: e.g., an agent that reads recent alarms & logs to suggest next steps, or a fleet health summary with links to playbooks.\r\nDocument everything (design notes, runbooks, and \"how to\" guides) and gather field feedback for iteration.\r\nHow we work\r\nPragmatic, security-minded, iterate-in-the-open with our engineers.\r\nWe value curiosity, clear writing, and the grit to trace weird edge cases in logs and manuals.\r\nBenefits\r\nCompetitive salaries and a generous benefits package, including health, dental, vision, life, disability, PTO, 401(k) with employer match, an Employee Stock Purchase Program, and health & wellness initiatives. We provide a collaborative working environment along with resources, and a welcoming, inclusive corporate culture where individuals are recognized for their contributions.\r\nEqual Opportunity Employer\r\nOnto Innovation Inc. is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.\r\nExport Licensing Note\r\nFor positions requiring access to technical data, Onto Innovation Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except U.S. Citizens, U.S. Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.\r\nJ-18808-Ljbffr","company":"SupportFinity","rawCompany":"supportfinity","city":"Cincinnati","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-06-25T00:56:57.215Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Junior AI Engineer","description":"Junior AI Engineer\r\nOnto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers' critical path of progress by making them smarter, faster and more efficient.\r\nTeam: You'll partner closely with our AI Lead Engineer and collaborate with field/service engineers who support our inspection & metrology tools across fabs.\r\nGoal: Build practical AI helpers that speed up tasks from recipe setup and troubleshooting to fleet management analytics and expert guidance from internal knowledge.\r\nAbout Us\r\nOnto Innovation is a worldwide leader in the design, development, manufacture and support of defect inspection, advanced packaging lithography, process control metrology, and data analysis systems and software used by semiconductor device manufacturers worldwide. Onto Innovation provides a full-fab solution through its families of proprietary products that provide critical yield-enhancing information and real time process control responses, enabling microelectronic device manufacturers to drive down the costs and time to market of their products. The Company's expanding portfolio of equipment and software solutions is used in both the wafer processing and final manufacturing of ICs, and in adjacent markets such as FPD, and LED manufacturing.\r\nWhat you'll do\r\nPrototype AI assistants & agents for field workflows: guided recipe setup, log triage, playbook lookups, parts/alarms advice, and fleet-wide health checks.\r\nBuild retrieval systems (RAG): ingest manuals, specs, ticket notes, recipes, logs, and best-practice docs; design chunking, embeddings, and indexing; tune prompts and retrieval for accuracy/latency.\r\nConnect AI to our tools and data: stand up MCP servers (Model Context Protocol) and other connectors to safely expose internal systems (document stores, MES, issue trackers, telemetry APIs) to LLMs.\r\nFine-tune or adapt models (e.g., LoRA/QLoRA) for domain terms, error codes, and tool-specific intents when retrieval alone isn't enough.\r\nEvaluate and harden: set up offline & online evals for groundedness/relevance; add guardrails, observability, and traceability; write runbooks.\r\nShip small apps: package prototypes behind simple APIs or lightweight UIs that field engineers can use (web chat, Slack/Teams bots, or CLI).\r\nData plumbing: parse messy PDFs/images/CSVs; normalize schemas for recipes, events, alarms, SPC/trace data.\r\nComputer Vision – understanding, defect detection, segmentation, or SEM/optical imaging.\r\nWork like an engineer: write readable Python/TypeScript, tests, and docs; use Git; participate in code reviews; iterate fast with the AI lead and domain SMEs.\r\nMinimum Qualifications\r\nBS in CS/EE/CE/ME (or equivalent experience).\r\nPython proficiency (data wrangling, APIs, packaging); comfort on Linux and with Git.\r\nBuilt at least one LLM app using a framework such as LangChain, LlamaIndex, or Semantic Kernel.\r\nHands-on with vector search (e.g., FAISS/Weaviate/Milvus) and embeddings; understands chunking, metadata, and hybrid search basics.\r\nFamiliarity with RAG and prompt engineering; can measure quality (groundedness/relevance) and reduce hallucinations.\r\nBasic backend skills (REST/JSON, auth, environment secrets); experience containerizing with Docker.\r\nComfortable reading technical manuals/logs and collaborating with non-software teammates.\r\nNice to haves\r\nWorked with agent frameworks (LangGraph, AutoGen, CrewAI) or implemented tool-calling/plan-execute loops.\r\nBuilt or configured MCP servers to connect LLMs to internal data/tools.\r\nExperience parsing complex docs (e.g., Unstructured, GROBID) and handling images/figures from manuals.\r\nExposure to semiconductor equipment or factory systems (SECS/GEM, EDA/Interface A, MES, SPC); familiarity with KLA/AMAT/TEL/ASML tool ecosystems.\r\nTime-series and log analysis (Pandas, SQL, TimescaleDB/InfluxDB), wafer map/vision background, or simple CV.\r\nModel adaptation experience (LoRA/QLoRA, PEFT) and experiment tracking (MLflow/W&B).\r\nLLM observability/evals (Ragas, TruLens, LangSmith), basic security/PII handling, and role-based access.\r\nCloud familiarity (AWS/Azure/GCP) and lightweight front-ends (React/Next.js) for internal tools.\r\nPrior work on fleet-level dashboards/analytics or recipe/parameter management.\r\nWhat success looks like (first 90 days)\r\nShip a search+chat knowledge assistant over our internal docs with clear eval dashboards for faithfulness/relevance.\r\nStand up at least one MCP connector to an internal source (e.g., SharePoint/Confluence or log store) and demo safe tool calls.\r\nDeliver a focused POC: e.g., an agent that reads recent alarms & logs to suggest next steps, or a fleet health summary with links to playbooks.\r\nDocument everything (design notes, runbooks, and \"how to\" guides) and gather field feedback for iteration.\r\nHow we work\r\nPragmatic, security-minded, iterate-in-the-open with our engineers.\r\nWe value curiosity, clear writing, and the grit to trace weird edge cases in logs and manuals.\r\nBenefits\r\nCompetitive salaries and a generous benefits package, including health, dental, vision, life, disability, PTO, 401(k) with employer match, an Employee Stock Purchase Program, and health & wellness initiatives. We provide a collaborative working environment along with resources, and a welcoming, inclusive corporate culture where individuals are recognized for their contributions.\r\nEqual Opportunity Employer\r\nOnto Innovation Inc. is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.\r\nExport Licensing Note\r\nFor positions requiring access to technical data, Onto Innovation Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except U.S. Citizens, U.S. Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:56:57.215Z","dateModified":"2026-06-25T00:56:57.215Z","hiringOrganization":{"@type":"Organization","name":"SupportFinity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cincinnati","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8d580f03314a5a3c86b6516f"},"url":"https://jobsearcher.com/jobs/8d580f03314a5a3c86b6516f"}}