Engineer, Principal
Originally posted 22 September 2026 by the employer.
About the role
This role involves leading the design and delivery of enterprise-grade agentic AI systems that bring autonomous multi-step reasoning to complex, tool-heavy workflows.
What you'll do
- Design and implement LangGraph-based agent graphs for multi-step, tool-heavy workflows.
- Build and maintain MCP (Model Context Protocol) tool wrappers to connect agents to enterprise data sources and domain-specific tooling.
- Design ontology schemas (OWL/RDF or equivalent) to capture domain-specific facts for grounding LLM reasoning.
- Build and maintain RAG pipelines and vector stores over domain documentation, including ingest, chunking strategy, embedding model selection, and retrieval quality evaluation.
- Build evaluation frameworks for non-deterministic agent outputs, including golden dataset curation, semantic correctness scoring, and regression gates.
- Lead the discovery phase with domain experts to understand complex workflows and produce skill/task maps, EDA tool interaction catalogs, and archetype classifications.
What you'll need
- 10 years in software engineering with at least 3 years focused on AI/ML systems in production.
- Demonstrated experience building agentic or multi-step LLM systems beyond demo/prototype scale that run in production, handle failures gracefully, and are tested against real domain inputs.
- Experience working in a co-design model with non-engineering domain experts.
- Strong Python experience, including async, type annotations, and production-quality code.
- Experience with LangGraph or equivalent graph-based agent frameworks (e.g., LangChain or LlamaIndex).
- Experience with MCP (Model Context Protocol) or equivalent tool-serving patterns.
- Experience with vector databases such as Chroma, Milvus, pgvector, or similar, and embedding pipelines.
- Experience with knowledge graphs or ontologies (OWL/RDF, SPARQL, or equivalent structured knowledge systems).
- Experience with CI/CD for AI systems, including pytest, golden dataset frameworks, and regression on non-deterministic outputs.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
Nice to have
- Experience with workflow orchestration engines (Temporal, Airflow, or equivalent durable execution platforms).
- Familiarity with enterprise API integration patterns: OAuth, rate limiting, retry strategies, and auth token management.
- Experience building evaluation frameworks for LLM outputs, including domain-expert-in-the-loop curation processes.
- Fine-tuning experience on domain-specific data.
- Master's degree with ML or Systems specialization.
Skills: Agentic AI systems, LLM systems, LangGraph, RAG pipelines, Python, AI/ML systems
More semiconductor jobs: Qualcomm jobs · AI chip design jobs · India jobs
This role has been open 44 days — well below the 101-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
477
|
Median days open
101 d
|
Category median salary (all employers)
$238k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (477 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 96 | 477 |
| Open roles in the wider Software, Firmware & Systems family | 687 | 6473 · 156 employers |
| Median days open | 127 d | 101 d (+26 d vs this employer) |
| Median salary (USD postings) | — | $238k |
Skills observed across this category: Agentic AI systems, LLM systems, LangGraph, RAG pipelines, Python, AI/ML systems
Who's hiring in this category
- NVIDIA · 103 open roles · median 79 d
- Qualcomm (this employer) · 96 open roles · median 127 d
- AMD · 29 open roles · median 119 d
- Micron Technology · 16 open roles · median 66 d
- Mobileye · 15 open roles · median 93 d
- Analog Devices · 14 open roles · median 54 d
How we counted: 477 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 5 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.