Sia Partners
Consulting
StaffGenAIEngineer
“Staff GenAI Engineer at Sia Partners. Skills: GenAI, Machine Learning, Backend Engineering, Cloud-native architectures. Lead architecture, design, development of backend systems. Integrate ML/GenAI models into applications”
What You'll Achieve.
Delivering tangible results; Achieve transformation; Ensure reliability and performance at scale; Ensure production readiness; Ensure reliability, observability, and operational excellence
Industry & Context.
Drives clarity in ambiguous technical situations
Position based in Mumbai (onsite)
What They're Looking For.
Must Have
8+ years of experience in software engineering, backend expertise in Python, GenAI Exposure, Proven experience delivering AI/ML or Generative AI systems in production environments, knowledge of cloud-native architectures, microservices, distributed systems, Hands-on expertise with Docker, Kubernetes, CI/CD pipelines, infrastructure-as-code (Terraform), Experience with PostgreSQL, MongoDB, or equivalent databases, Ability to operate in client-facing environments, communicate complex technical concepts clearly
Nice to Have
Experience mentoring or leading technical teams
What You'll Do.
development of backend systems
Integrate ML/GenAI models into applications
Drive end-to-end delivery of GenAI solutions
Design and implement agentic AI systems
Apply ML techniques to solution design
Collaborate with data scientists on model lifecycle
Work with structured and unstructured data
Design data pipelines and storage
Lead development of backend microservices and APIs
Ensure production readiness of AI systems
Define cloud-native deployment strategies
Establish containerized deployment standards
Oversee data architecture
Implement monitoring and logging frameworks
Lead development of AI-powered SaaS products
How You'll Work.
Team & Collaboration
Collaborate closely with data scientists; Coordinate cross-team delivery; Facilitate or lead working groups; Represent your group to leadership; Participate in hiring; Participate in Diversity, Inclusion & Belonging initiatives
Communication Scope
Communicate complex technical concepts clearly
Process & Methodology
Break down large efforts into epics, Coordinate cross-team delivery
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