1 day ago
Mumbai, IndiaSenior
Responsibilities
- Design and implement generative AI applications, RAG systems, agentic workflows, and multi-agent orchestration.
- Build agentic systems with memory, planning, dynamic reasoning, reliable communication, and observability.
- Implement prompt engineering, context optimization, and evaluation frameworks for generative AI applications.
- Own the ML lifecycle, including model versioning, validation, deployment, automated testing, and production monitoring.
- Build production APIs, microservices, data pipelines, and integrations with authentication, error handling, and monitoring.
- Monitor model drift, maintain system reliability, and implement A/B testing frameworks.
- Architect knowledge graph, semantic search, entity resolution, relationship discovery, and hybrid retrieval solutions.
- Present technical solutions to clients and collaborate with architects, data engineers, and business analysts.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent demonstrated experience.
- 3–6 years of hands-on machine learning engineering experience across multiple domains, including generative AI.
- Expert-level Python proficiency and strong software engineering fundamentals, including API design, testing, and containerization.
- Experience shipping production machine learning systems in cloud environments using GCP, including Vertex AI, BigQuery, and Cloud Run, or an equivalent platform.
- Experience building generative AI, traditional machine learning, and computer vision applications; applying MLOps practices; and implementing retrieval-augmented generation.
Tech Stack
Categories
About Quantiphi
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results. Learn more at www.quantiphi.com.