AI Engineer – Agent Development, MLOps & UI; GCP Vertex AI + LangChain

AI Engineer

We are Cirrus Labs. 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.

Job Summary:

We are seeking a hands-on AI Engineer to design, build, and deploy intelligent AI agents using GCP Vertex AI, Lang Chain, 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 Lang Chain, 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 Lang Chain.
• 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 Lang Graph or similar agent orchestration frameworks.

Preferred Qualifications:

• Familiarity with cloud-native deployment and Dev Ops 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.