Title- Full Stack AI Engineer
Duration – 12 Months 
Location – Sunnyvale CA 94085 (Hybrid - come onsite as needed)

We are seeking a highly skilled Founding AI Engineer to partner with internal and cross-functional teams in defining AI product features, scope, and the platform’s technical foundation.

Key Responsibilities:

• Serve as a Founding AI Engineer, collaborating with cross-functional teams to define AI product features, scope, and overall technical architecture.

• Design and implement generative AI systems, including:

  Multi-agent workflows

  • LLM orchestration patterns

  • Tool-calling architectures

  • MCP integrations to connect models with enterprise APIs, tools, and data systems

• Build scalable AI data pipelines to ingest heterogeneous data sources and implement AI-driven ETL processes, including:

  • Data cleaning

  • Normalization

  • Deduplication

  • 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

  • Designing RAG architectures for knowledge retrieval

• Train, test, and deploy machine learning models, building:

  • Low-latency inference pipelines

  • Scalable AI services for real-time and batch workloads

• Develop backend services and AI product interfaces, including:

  • APIs

  • Microservices

  • AI-powered dashboards

• Ensure production reliability through:

  • Monitoring

  • Autoscaling

  • 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

  • LLM orchestration workflows

• Experience building:

  • RAG systems

  • Vector search solutions

  • AI knowledge discovery platforms

• Experience with ML frameworks such as:

  • 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 (e.g., AWS)

  • Containerization technologies (e.g., Docker)

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 84.13/hr.