Sr. Software Engineer - AI/ML
- KLA
- 8 - 13 years
- Chennai
- 3 months ago
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Job Description
Company Overview
Group/Division
Job Description/Preferred Qualifications
Our Enterprise Advanced Analytics team is at the forefront of transforming data into actionable insights that drive strategic decisions across the organization. We are a collaborative, cross-functional group of 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.
You ll be joining a team that believes in building 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
- Bachelor s 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.
Core Technical Skills
- 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
Job Classification
Industry: Electronic Components / SemiconductorsFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Search EngineerEmployement Type: Full timeContact Details:
Company: KLALocation(s): Chennai+ View Contact
Keyskills: Packaging Customer service microsoft Open source Risk management JIRA Information technology Monitoring SQL Python
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