Staff GenAI Engineer

Mumbai - India

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Department:

Data Science

Job Summary

We are seeking a Staff Software Engineer / Staff GenAI Engineer to provide technical leadership in the design development and deployment of AI-driven platforms and products. This role combines hands-on engineering expertise with architectural ownership and client-facing consulting responsibilities.

Key Responsibilities

Lead the architecture design and development of scalable backend systems integrating machine learning and Generative AI models into production-grade applications.

Drive end-to-end delivery of GenAI solutions including LLM-based systems RAG architectures and agentic workflows from experimentation to production.

Design and implement agentic AI systems enabling multi-step reasoning tool calling memory management and orchestration.

Apply a strong understanding of machine learning techniques (regression classification clustering decision trees neural networks probabilistic models) to solution design and implementation.

Collaborate closely with data scientists to train fine-tune evaluate and deploy ML/AI models ensuring reliability and performance at scale.

Work with structured and unstructured data sources designing efficient data pipelines and storage strategies.

Lead development of backend microservices and APIs supporting AI-driven applications.

Ensure production readiness of AI systems including performance optimization monitoring cost control and security.

Define cloud-native deployment strategies for AI solutions on AWS Azure and GCP.

Establish containerized deployment standards using Docker and Kubernetes across development and production environments.

Oversee data architecture performance and integrity across SQL and NoSQL databases (PostgreSQL MongoDB).

Implement monitoring and logging frameworks to ensure reliability observability and operational excellence of AI systems.

Lead the development of AI-powered SaaS products within the platforms.

Tactical & cross-team leadership

Be a DRI for major architectural initiatives and blueprints; own design docs and migration plans.

Maintain ownership of triage and incident prioritization; advocate severity/priority to stakeholders.

Serve as a maintainer/owner for multiple critical repositories tech stacks or services.

Mentor engineers formally; grow others via code reviews pairing and career coaching.

Break down large efforts into epics and MVCs; coordinate cross-team delivery.

Facilitate or lead working groups for cross-cutting initiatives (performance APIs security standards).

Represent your group to leadership: engineering allocation reliability status and iteration health.

Participate in hiring: design interviews assess candidates and recommend bias-reduction improvements.

Participate in Diversity Inclusion & Belonging initiatives and mentorship programs

Qualifications :

Education: Bachelors/masters degree in computer science Software Engineering or a related field.
Experience & Technical Skills :

8 years of experience 8 years of experience in software engineering with strong backend expertise in Python and GenAI Exposure.

Proven experience delivering AI/ML or Generative AI systems in production environments.

Familiarity with gen Ai frameworks like Lang chain Google ADK and other Agent development Kits.

Strong knowledge of cloud-native architectures microservices and distributed systems.

Hands-on expertise with Docker Kubernetes CI/CD pipelines and infrastructure-as-code (Terraform).

Experience with PostgreSQL MongoDB or equivalent databases.

AI-Native Engineering: Experience utilize Cursor GitHub Copilot or Claude Code as a core part of their daily workflow.

Ability to operate in client-facing environments and communicate complex technical concepts clearly.

Experience mentoring or leading technical teams is preferred.

Staff Engineer Traits (What Success Looks Like)

Thinks in systems not just features.

Acts as a force multiplier for technical teams.

Drives clarity in ambiguous technical situations.

Chooses long-term maintainability over short-term hacks.

Communicates complex ideas with precision and calm authority.

Leads through technical credibility not hierarchy.

Additional Information :

What We Offer

Opportunity to lead cutting-edge AI projects in a global consulting environment.
Leadership development programs and training sessions at our global centers.
A dynamic and collaborative team environment with diverse projects.

Position based in Mumbai (onsite)

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs.

Remote Work :

Yes

Employment Type :

Full-time

Key Responsibilities

Lead the architecture design and development of scalable backend systems integrating machine learning and Generative AI models into production-grade applications.

Drive end-to-end delivery of GenAI solutions including LLM-based systems RAG architectures and agentic workflows from experimentation to production.

Design and implement agentic AI systems enabling multi-step reasoning tool calling memory management and orchestration.

Apply a strong understanding of machine learning techniques (regression classification clustering decision trees neural networks probabilistic models) to solution design and implementation.

Collaborate closely with data scientists to train fine-tune evaluate and deploy ML/AI models ensuring reliability and performance at scale.

Work with structured and unstructured data sources designing efficient data pipelines and storage strategies.

Lead development of backend microservices and APIs supporting AI-driven applications.

Ensure production readiness of AI systems including performance optimization monitoring cost control and security.

Define cloud-native deployment strategies for AI solutions on AWS Azure and GCP.

Establish containerized deployment standards using Docker and Kubernetes across development and production environments.

Oversee data architecture performance and integrity across SQL and NoSQL databases (PostgreSQL MongoDB).

Implement monitoring and logging frameworks to ensure reliability observability and operational excellence of AI systems.

Lead the development of AI-powered SaaS products within the platforms.

Tactical & cross-team leadership

Be a DRI for major architectural initiatives and blueprints; own design docs and migration plans.

Maintain ownership of triage and incident prioritization; advocate severity/priority to stakeholders.

Serve as a maintainer/owner for multiple critical repositories tech stacks or services.

Mentor engineers formally; grow others via code reviews pairing and career coaching.

Break down large efforts into epics and MVCs; coordinate cross-team delivery.

Facilitate or lead working groups for cross-cutting initiatives (performance APIs security standards).

Represent your group to leadership: engineering allocation reliability status and iteration health.

Participate in hiring: design interviews assess candidates and recommend bias-reduction improvements.

Participate in Diversity Inclusion & Belonging initiatives and mentorship programs

Qualifications :

Education: Bachelors/masters degree in computer science Software Engineering or a related field.
Experience & Technical Skills :

8 years of experience 8 years of experience in software engineering with strong backend expertise in Python and GenAI Exposure.

Proven experience delivering AI/ML or Generative AI systems in production environments.

Familiarity with gen Ai frameworks like Lang chain Google ADK and other Agent development Kits.

Strong knowledge of cloud-native architectures microservices and distributed systems.

Hands-on expertise with Docker Kubernetes CI/CD pipelines and infrastructure-as-code (Terraform).

Experience with PostgreSQL MongoDB or equivalent databases.

AI-Native Engineering: Experience utilize Cursor GitHub Copilot or Claude Code as a core part of their daily workflow.

Ability to operate in client-facing environments and communicate complex technical concepts clearly.

Experience mentoring or leading technical teams is preferred.

Staff Engineer Traits (What Success Looks Like)

Thinks in systems not just features.

Acts as a force multiplier for technical teams.

Drives clarity in ambiguous technical situations.

Chooses long-term maintainability over short-term hacks.

Communicates complex ideas with precision and calm authority.

Leads through technical credibility not hierarchy.

Additional Information :

What We Offer

Opportunity to lead cutting-edge AI projects in a global consulting environment.
Leadership development programs and training sessions at our global centers.
A dynamic and collaborative team environment with diverse projects.

Position based in Mumbai (onsite)

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs.

Remote Work :

Yes

Employment Type :

Full-time

Key Skills

Computer Science
Docker
Kubernetes
Python
VMware
C/C++
Go
System Architecture
gRPC
OS Kernels
Perl
Distributed Systems

Apply Now

About Company

Sia

Sia est un groupe international de conseil en management de nouvelle génération. Fondé en 1999, nous sommes nés à l’ère du numérique. Aujourd’hui, nos services en stratégie et management sont augmentés par la data science, enrichis par la créativité et guidés par la responsabilité. No ... View more

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