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Staff GenAI Engineer
Location
India
Posted
86 days ago
Salary
0
Seniority
Lead
Job Description
Staff GenAI Engineer
Sia
• 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.
Job Requirements
- 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.
- Ability to operate in client-facing environments and communicate complex technical concepts clearly.
- Experience mentoring or leading technical teams is preferred.
Benefits
- 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.
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