#Machine Learning Engineer – Agentic AI
$114,500 - $171,700 USD yearly
Originally posted 18 September 2026 by the employer.
Focus on Large Language Models, Retrieval-Augmented Generation, and agentic workflows within Modem Technologies Software.
About the role
This role is responsible for designing, developing, and deploying generative AI solutions, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent systems within the Modem Technologies Software engineering group.
What you'll do
- Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources. - Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation. - Create evaluation frameworks for measuring and improving model performance. - Build and maintain agentic workflows for autonomous AI systems. - Collaborate with cross-functional teams to identify opportunities and implement AI solutions.
What you'll need
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field. - Strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow. - Practical experience with LLM deployments and fine-tuning. - Experience with vector databases and embedding models. - Strong understanding of RAG architectures and implementation. - Familiarity with modern AI/ML infrastructure and cloud platforms including AWS, GCP, or Azure.
Nice to have
- Experience with LLM frameworks such as Langchain, LlamaIndex, or Transformers. - Knowledge of prompt engineering and chain-of-thought techniques. - Experience with containerization and microservices architecture. - Background in Reinforcement Learning. - Contributions to open-source AI projects. - Experience with ML ops and model deployment pipelines.
Skills: RAG-based solutions, LLM fine-tuning, agentic workflows, ML frameworks, vector databases
This role has been open 32 days — well below the 57-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI ML Hardware
|
Open roles in category
162
|
Median days open
57 d
|
Median salary
$191k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (162 roles · 43 employers) |
|---|---|---|
| Open roles in this specialty | 21 | 162 |
| Open roles in the wider Software, Firmware & Systems family | 719 | 6222 · 145 employers |
| Median days open | 195 d | 57 d (+138 d vs this employer) |
| Median salary (USD postings) | — | $191k |
Skills observed across this category: RAG-based solutions, LLM fine-tuning, agentic workflows, ML frameworks, vector databases
Who's hiring in this category
- NVIDIA · 27 open roles · median 219 d
- Micron Technology · 26 open roles · median 40 d
- Qualcomm (this employer) · 21 open roles · median 195 d
- Infineon Technologies · 13 open roles · median 33 d
- AMD · 8 open roles · median 57 d
- Applied Materials · 4 open roles · median 91 d
How we counted: 162 open Software Engineering Semiconductor (AI ML Hardware) roles from 43 employers tracked in the SemiconductorJobs index, counted 21 Oct 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.