CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.
You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.
You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented to join our team. If you're excited to be part of a winning team, CirrusLabs ( http://www.cirruslabs.io ) is a great place to grow your career.
Job Summary:
We are seeking a
hands-on AI Engineer
to design, build, and deploy intelligent AI agents using
GCP Vertex AI ,
LangChain , and modern UI tools like
Streamlit . The ideal candidate will bring together skills in large language models (LLMs),
agent orchestration ,
MLOps , and
user-friendly interface development
to create powerful and accessible AI solutions.
Key Responsibilities:
Design and implement
LLM-based agents
using
LangChain , integrated with
GCP Vertex AI
services.
Build
interactive UIs
using
Streamlit
or similar frameworks to showcase and test AI agent capabilities.
Develop
end-to-end ML pipelines
for training, evaluation, and deployment using tools like
Vertex Pipelines ,
Kubeflow , or
Airflow .
Integrate with APIs, vector databases, and knowledge sources to enable
RAG (Retrieval-Augmented Generation) workflows.
Deploy scalable, secure AI services using
CI/CD pipelines , infrastructure-as-code, and version-controlled model registries.
Monitor model performance, manage experiments, and optimize agent behavior in production environments.
Work cross-functionally with product, design, and engineering teams to deliver intuitive, high-impact AI-powered applications.
Required Qualifications:
3-6 years of hands-on experience in
AI/ML engineering , including recent work with
LLMs
and
LangChain .
Proficiency with
GCP Vertex AI
tools such as Pipelines, Model Registry, Training, and Endpoints.
Strong
Python programming skills , with experience in
FastAPI ,
Flask , or similar web frameworks.
Demonstrated experience building interactive dashboards or tools using
Streamlit ,
Gradio , or
Dash .
Knowledge of
MLOps workflows , including tools like
MLflow ,
Weights & Biases , or
Vertex AI Experiments .
Experience working with
vector stores
(e.g., FAISS, Pinecone, Weaviate) in agent pipelines.
Familiarity with
retrieval-based QA , embeddings, and prompt engineering techniques.
Experience with
LangGraph
or similar agent orchestration frameworks.
Preferred Qualifications:
Familiarity with
cloud-native deployment
and DevOps tools (Terraform, Docker, GCP Cloud Build).
Background in
UX/UI design thinking
or rapid prototyping for AI-driven applications.
Experience integrating LLMs with external APIs or private knowledge sources.