Jobs at Quantiphi

Design and deploy scalable GenAI and NLP solutions on AWS, architect agentic AI systems, fine-tune and evaluate LLMs (LLama2), implement model orchestration and context management, integrate vector stores and APIs, and collaborate with cross-functional teams to deliver production-grade ML services.

Design, develop, modernize, and support enterprise Java applications using Spring Boot and AWS. Implement microservices, REST/SOAP APIs, perform unit/integration testing, deploy to cloud, troubleshoot production issues, mentor team members, and collaborate with clients to meet technical requirements and ensure solution quality.

Design, modernize, and deliver enterprise Java/Spring Boot applications on AWS. Lead API and microservices development, cloud deployments, testing, and client-facing architecture discussions while mentoring teams and ensuring application security and scalability.

Responsible for developing and maintaining chatbot applications, collaborating with business partners on requirements, and enhancing chatbot capabilities using AI/NLP technologies.

Design, build, and optimize scalable Databricks/Spark data pipelines and ETL/ELT workflows using Medallion Architecture. Implement PySpark, Spark SQL, Delta Lake optimizations, orchestrate Databricks Workflows, apply CI/CD and testing, and collaborate with cross-functional teams to deliver reliable data products and support analytics and AI initiatives.

The role involves leading data migration and modernization strategies, designing scalable AWS solutions, and managing large-scale data projects. Responsibilities include technical leadership, architecture design, project implementation, and mentoring engineers.

The AI Engineer will build AI-driven workflows, integrating customer requirements into scalable solutions while managing both front-end and back-end elements in a cloud environment.

Lead the design and development of backend systems, APIs, and microservices for next-gen applications, ensuring scalability and performance.

The Associate Architect will lead the development and deployment of machine learning solutions on Azure, manage the ML lifecycle, and optimize existing models while providing technical leadership to project teams.

Design, develop, modernize, and maintain enterprise Java/Spring Boot applications and microservices on AWS. Lead API integrations, deployments, testing, and cloud-native solutions. Mentor team members, engage with customers, troubleshoot production issues, and ensure secure, scalable architectures following Agile practices.

Design and deliver end-to-end GenAI and ML solutions on AWS: build SageMaker pipelines, fine-tune LLMs (Llama2), implement RAG with vector stores (OpenSearch/Elasticsearch), develop LangChain-based LLM apps, perform prompt engineering, model evaluation and optimization, and collaborate with cross-functional teams to integrate models into production.

Design, modernize, and deliver enterprise Java/Spring Boot applications on AWS. Lead API and microservice development, cloud deployments, troubleshooting, client consultations, mentoring, and ensuring architecture and code quality.

Design, develop, and maintain enterprise .NET applications, RESTful APIs and microservices using .NET Core/.NET Framework and Blazor. Lead architecture, CI/CD (Git, Maven, JFrog, UDeploy), AWS deployments (EC2, EKS, RDS), conduct code reviews, resolve production incidents, mentor developers, and collaborate with stakeholders in Agile delivery.

Lead architecture and implementation of a next-generation data layer for agentic AI. Design multi-tenant schemas and knowledge graph ontologies, optimize Snowflake and Kinetica clusters for high availability, define ETL/ELT and streaming patterns, and serve as the primary technical client liaison to align data architecture with business objectives and performance SLAs.

Design, fine-tune, and deploy LLMs and domain-adaptive agentic AI. Build end-to-end AI workflows, optimize model performance, perform prompt engineering, collaborate cross-functionally, and document experiments while staying current with generative AI research.

The Senior Software Developer will design and develop scalable backend services and APIs, optimize data models, manage AI integrations, and mentor junior engineers in an agile environment.

Design, build, and deploy production-grade Generative AI platform components across GCP/Azure. Implement RAG pipelines, multi-agent architectures, LLM gateway and execution runtimes, GenAIOps/MLOps practices, AgentOps, and platform CI/CD/infrastructure. Collaborate with implementation partners and LBU teams to deliver reusable, secure, and compliant GenAI services.

Lead enterprise EKS consolidation and architecture: assess 20+ clusters, design a multi-tenant golden-cluster standard, define CNI/service-mesh strategy, enforce zero-trust IAM, implement IaC with Terraform, enable resilient ingress and storage patterns, validate via pilot Python workloads, and define lifecycle, DR (Velero/S3), and CI/CD (GitHub Actions runners) governance.

As a Technical Program Manager, you will lead AI/ML initiatives, ensure project delivery, manage stakeholders, and align technical strategies with business objectives.

The Sales Leader will drive AI and data services for AWS clients in the CPG sector, maintaining executive relationships and leading sales initiatives.