Software Engineer - AI Engineer
Role summary
We are seeking a Founding AI Engineer to design and implement generative AI systems, including multi-agent workflows and LLM orchestration. This role involves building scalable AI data pipelines, developing and optimizing GenAI systems through fine-tuning and prompt engineering, and training, testing, and deploying machine learning models. You will also develop backend services, AI product interfaces, and ensure production reliability. The ideal candidate has a Bachelor's degree in a related field, 5+ years of experience in production AI/ML systems, and hands-on experience with GenAI/LLM applications and agentic AI systems.
Job Title
: Founding AI Engineer
Location
: Sunnyvale, CA (Hybrid-onsite as needed)
Duration
: 12+ Months with Possible Extension
Pay Range
: $80 - $84.13/hr on W2
Job Description:
- Serve as a Founding AI Engineer, partnering with internal and cross functional teams to define AI product features, scope, and the platform’s technical foundation.
- Design and implement generative AI systems, including multi-agent workflows, LLM orchestration patterns, tool-calling architectures, and MCP integrations to connect models with enterprise APIs, tools, and data systems.
- Build scalable AI data pipelines that ingest heterogeneous data sources and implement AI-driven ETL for cleaning, normalization, deduplication, and structured storage in production databases and vector indexes.
- Develop and optimize GenAI systems, including fine-tuning LLMs and transformer models (e.g., LoRA/PEFT), prompt engineering, and designing RAG architectures for knowledge retrieval.
- Train, test, and deploy machine learning models, building low-latency inference pipelines and scalable AI services for real-time and batch workloads.
- Develop backend services and AI product interfaces, including APIs, microservices, and AI-powered dashboards, while ensuring production reliability through monitoring, autoscaling, and performance optimization.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of experience building production AI or machine learning systems.
- Hands-on experience developing GenAI / LLM-powered applications using models such as GPT, Claude, or Gemini.
- Experience designing and deploying agentic AI systems, MCP integrations, and LLM orchestration workflows.
- Experience building RAG systems, vector search, and AI knowledge discovery platforms.
- Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
- Experience designing scalable data pipelines and AI-driven ETL workflows.
- Experience building AI-powered dashboards or knowledge discovery interfaces.
Preferred Qualifications:
- Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Experience fine-tuning transformer models using techniques such as LoRA or PEFT.
- Hands-on experience with cloud platforms and containerization technologies (e.g., AWS, Docker).
Benefits Info
Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors.
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