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LLM Platform Engineer/Lead
Build and lead the internal AI platform: design LLM frameworks, prompt management, evaluation, and observability systems to enable teams to ship AI-powered features reliably.
Backend Engineer, AI
Build and maintain the backend systems that power AI-driven features, focusing on inference pipelines, orchestration, and low-latency APIs for user-facing applications.
Staff Data Engineer
Architect and lead enterprise-scale data platforms, MDM, and agentic AI integrations (RAG, LLM workflows) in cloud-native environments, while setting engineering standards and mentoring teams.
Staff Data Engineer
Architect and lead enterprise-scale data platforms, MDM, and agentic AI systems, building scalable pipelines and trusted data foundations for analytics and AI-driven applications.
Full Stack AI Engineer (Generative AI) — Singapore
Build and deploy generative-AI applications (RAG, agents, copilots) on Azure/OpenAI, turning healthcare and insurance data into production-grade AI services with robust governance.
Staff Data Engineer
Senior role building scalable data pipelines, semantic layers, and automated quality controls to turn raw data into trusted analytics products using Python, SQL, and distributed systems.
Senior Engineer, Platform Engineering and Architecture
Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing agentic runtimes, LLM gateways, identity layers, and cloud-native infrastructure to support secure, scalable agent workflows across the enterprise.
Data Scientist - AI-Enablement (Public Sector)
A Data Scientist focused on AI/ML for government communications and services, specializing in NLP, generative AI, and model evaluation to improve public-facing platforms and user trust.
Backend Engineer, AI
Builds and optimizes the backend inference and orchestration layer for an AI assistant, ensuring low-latency, reliable interactions between LLMs and end users.
Senior Applied AI Engineer
Build production-ready AI apps for enterprises using LLMs, RAG, AI agents and workflow automation, integrating them into existing systems.
Python AI Developer – Machine Learning, Cloud & Agile Delivery
Lead AI and Python development teams to design, build, and deploy machine-learning solutions in the cloud using Agile practices.
Python & Generative AI Technical Lead
Lead a team to design and deliver Python-based GenAI solutions, guiding architecture, cloud deployment, and responsible AI practices for enterprise clients.
Data Scientist, AVP
About the Role We are seeking an accomplished and hands-on Lead Data Scientist (AVP) to join our AI/ML Science team as part of the Agentic AI platform initiative. This role is pivotal in shaping the science strategy…
Data Engineer
Builds AI-assisted data pipelines to parse undocumented industrial codebases into structured documentation using Python, Neo4j, Qdrant, and LLMs.
Generative AI Architect-Senior Manager
Senior Manager at PwC India designing and deploying enterprise-scale generative AI and agentic systems, including RAG, multi-agent workflows, and cloud-native AI platforms.
TECH LEAD - DATA & AI ARCHITECT
Lead the design and evolution of enterprise-scale data and AI architectures for large corporations, guiding cloud-based analytics and generative AI solutions across Azure, AWS, and GCP.
Senior Staff Solution Architect - AI & Cloud
Job Description Summary We are looking for a highly skilled Senior Staff AI & Cloud Solution Architect to lead the design and development of scalable AI platforms and intelligent solutions on AWS. This role…
Full Stack Developer
Builds full-stack web apps in Python (Flask/Django) with React/TypeScript front ends, integrating LLM capabilities via RAG and processing large datasets with PostgreSQL, ArangoDB, and vector search.
AI Platform Engineer (Google Cloud Platform)
Build and maintain an AI platform on Google Cloud for an insurance company, deploying GenAI/ML services, vector search, and agentic frameworks to power enterprise teams like Actuarial and Underwriting.
AI Product Engineer
Build and ship AI-powered features to automate internal workflows and enhance physician/employer-facing tools, using LLMs, retrieval, and agentic patterns with rigorous evaluation.