What are the responsibilities and job description for the Software Engineer III position at TalentBurst, an Inc 5000 company?
Full Stack AI Engineer
Sunnyvale, CA-94085 - Hybrid - come onsite as needed
Duration: 12 months
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).
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Why TalentBurst?
At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.
Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships.
We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options.
TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.