AI​/ML Tech Lead – Generative AI

We are seeking an
AI/ML Tech Lead with strong hands-on experience in Generative AI
to design and deliver production-grade LLM-powered solutions. This role focuses on building scalable GenAI systems on
Google Cloud Platform (GCP), leveraging
Gemini models
,
RAG architectures
, and
agentic workflows
to solve complex business problems.

You’ll work closely with Data Science, Engineering, and Product teams to translate business needs into robust AI/ML solutions while ensuring performance, security, and compliance.

Design, build, and deploy
production-ready Generative AI applications and APIs
on GCP.

Implement
Retrieval-Augmented Generation (RAG)pipelines using vector databases and unstructured data sources.

Develop and manage
end-to-end MLOps pipelines
(training, evaluation, deployment, monitoring) using
Vertex AI, Kubeflow, Cloud Build, and Terraform
.

Optimize model performance through
fine-tuning, prompt engineering, and model compression techniques
(e.g., GPTQ, AWQ).

Architect scalable and cost-efficient GCP infrastructure with a strong focus on
security, IAM, and VPC design
.

Collaborate cross-functionally to define AI/ML technical roadmaps and deliver business-impacting solutions.

Ensure adherence to
data privacy, security, and ethical AI standards
(HIPAA, GDPR, where applicable).

Provide technical leadership, guidance, and mentorship to team members.

5–8+ years
of industry experience in Machine Learning.

3+ years of hands-on experience
building and deploying
Generative AI / LLM-based solutions
in production.

Strong experience with
Google Cloud Platform (GCP), including
Vertex AI, Big Query, Dataflow, Cloud Run
.

Advanced proficiency in
Python
and ML frameworks (
Tensor Flow, PyTorch, scikit-learn
).

Hands-on experience with
LLM frameworks/tools such as
Lang Chain, Llama Index, or Hugging Face
.

Solid understanding of
SQL
and unstructured data processing.

Experience with
Docker, Kubernetes (GKE), and CI/CD pipelines
.

Experience with
multi-agent systems and orchestration
(Lang Graph, Auto Gen, etc.).

Deep understanding of
vector databases
(Vertex AI Vector Search, Pinecone, Chroma).

Proven ability to
lead technical initiatives
and mentor junior engineers.

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract