Sr. Software Engineer AIML
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Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Company Overview
Group/Division
Job Description/Preferred Qualifications
OurEnterprise Advanced Analyticsteam is at the forefront of transforming data into actionable insights that drive strategic decisions across the organization. We are acollaborative cross-functional groupof engineers data scientists analysts and architects who value:
Innovation: We embrace new technologies and encourage experimentation to solve complex business problems.
Ownership: Every team member is empowered to take initiative and drive projects from concept to production.
Transparency: We foster open communication regular knowledge sharing and inclusive decision-making.
Continuous Learning: We support professional development through certifications tech talks and hands-on learning.
Impact: Our work directly influences enterprise-wide initiatives from customer experience to operational efficiency.
Youll be joining a team that believes inbuilding with purpose where engineering excellence meets data-driven strategy.
Key Responsibilities:
- Design and deliver LLM-powered applications such as:
- Retrieval-Augmented Generation (RAG) with enterprise knowledge sources
- Agentic workflows (tool/function calling orchestration multi-step reasoning)
- Text extraction/summarization classification Q&A and document intelligence
- Build and optimize retrieval pipelines: chunking strategies embeddings vector search reranking grounding and evaluation.
- Implement safety and quality guardrails: prompt injection defenses PII redaction secure prompt templates hallucination mitigation and auditability.
- Create robust evaluation frameworks: golden datasets automated scoring offline/online A/B testing and continuous regression testing for prompts/models.
- Lead technical design for complex initiatives; define reference architectures and reusable components for LLM applications and MLOps.
- Mentor engineers conduct design/code reviews and elevate engineering standards (testing documentation observability security).
- Partner with stakeholders to translate ambiguous business needs into clear AI deliverables milestones success metrics and operational SLAs.
Required Qualifications
- Bachelors degree in Computer Science Engineering or related field (or equivalent experience).
- 8 years experience in software engineering ML engineering or applied AI roles.
- Strong programming expertise in Python solid SQL and strong software engineering fundamentals (APIs testing CI/CD code quality).
- Demonstrated experience building and deploying AI/ML systems into production with measurable outcomes.
- Hands-on experience building LLM applications (RAG/agents/tool calling) and implementing evaluation/monitoring practices.
- Experience with vector databases / search (e.g. Azure AI Search or equivalent) rerankers and embedding lifecycle management.
- Familiarity with Responsible AI practices: privacy security reviews model risk management bias/fairness and explainability.
- LLM Apps: RAG agents tool/function calling prompt engineering evaluation harnesses guardrails
- Languages: Python (required) SQL (required)
- Cloud: Azure (deployments security observability CI/CD)
- Ops: Monitoring incident response SLO/SLA management cost optimization
- Data: ETL/ELT distributed processing concepts data quality frameworks
Preferred / Nice to Have:
- Contributions to open-source projects or technical blogs.
- Azure AI/ML ecosystem experience (e.g. Azure ML Azure OpenAI Functions AKS AAD Key Vault Monitor/App Insights).
- Microsoft certified: Azure Solutions Architect Expert or Azure Developer Associate.
- Exposure to Agile/Scrum methodologies and tools like Jira or Azure boards.
Minimum Qualifications
Doctorate (Academic) Degree and related work experience of 3 years; Masters Level Degree and related work experience of 6 years; Bachelors Level Degree and related work experience of 8 years
We offer a competitive family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
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Required Experience:
Senior IC
Key Skills
About Company
Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA, we're making technology advancements that are bigger—and tinier—than the world has ever seen. Who are we? We research, develop, and manufacture t ... View more
