AI Architect

We are
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
AI Architect
to join our team. If you're excited to be part of a winning team, CirrusLabs (

) is a great place to grow your career.

Experience years

Location - Bengaluru

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:
  Relevant of 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.