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Data Scientist
Data Scientist at Emergent Labs in Bengaluru turning unstructured AI agent data—trajectories, prompts, logs—into structured signals via ML pipelines, predictive modeling, and product/growth analytics to drive decisions at scale.
Software Engineer - Infrastructure
Infrastructure engineer maintaining distributed microservices on Kubernetes (GCP/AWS), owning the observability stack (Grafana, Prometheus, New Relic), and building platform tooling to support AI coding agent workloads at scale.
Software Engineer - Backend
Designs and builds autonomous AI-driven systems that generate, test, and deploy production software at global scale, focusing on correctness, reliability, and scalability.
AI Agent Architect
Design and improve autonomous coding agents by running experiments, building evaluation frameworks, and driving reliability in context engineering, memory systems, and tool use—working with LLMs, Python, and SQL on-site in Bengaluru.
Senior AI Engineer (LLMs & Agentic AI)
Senior AI Engineer building production-grade LLM and agentic AI systems—MCP servers, tool calling, intent routing—integrating Anthropic/OpenAI APIs with Python and SQL in a remote, collaborative team.
Staff Platform Engineer
Staff Platform Engineer responsible for designing, building, and maintaining CAI Parsable’s cloud platform, focusing on AI-driven agentic workflows, microservices, and AWS-based infrastructure to improve industrial operations.
Amazon Development Centre Limited Software Development Manager, Alexa for shopping (Rufus)
We're building the future of AI-powered shopping. Our team is developing next-generation conversational and agentic experiences powered by Large Language Models (LLMs), enabling customers to discover products, ask…
AI Engineer - South Bank, QLD
Designs and deploys production-grade AI systems (classical ML and agentic workflows) for Flight Centre Travel Group’s travel business, focusing on scalable, reliable solutions with Azure ML, Databricks, and Kubernetes.
IT Security Architect
Design and implement secure cloud architectures on AWS and Azure, embedding with teams to build hardened solutions including AI-driven workloads and Databricks environments.
Senior Staff Software Development Engineer in Test (SDET)
Build an AI-powered automated testing framework from scratch for a dubbing pipeline that converts video between languages, focusing on async microservices, non-deterministic AI outputs, and observability-driven quality gates.
Senior AI Engineer – AI Platform
The Senior AI Engineer will build and operate distributed agentic AI workflows and RAG systems for equity research products. The role involves hands-on development using Python, TypeScript, and AWS to integrate LLM capabilities into production financial analysis tools.
Equity Research Analyst, AI Platform
The Equity Research Analyst will build AI-powered equity research tools by translating fundamental investment judgment into scalable LLM workflows and factor models. This role involves collaborating with engineering teams to automate stock discovery and analysis for retail investors.
Senior Equity Research Analyst, AI Platform
Senior equity research analyst building AI-powered research systems: designing LLM workflows to convert unstructured data into structured signals, developing sector-based factor models, and partnering with engineering on data pipelines (APIs, DAGs, databases) at CNBC/Versant.
Software Engineer (AI)
ExTrac is seeking a software engineer to build and maintain agentic AI features and analytical tools for intelligence analysts using Python and Go. The role involves end-to-end development of production-grade services, including agent orchestration, retrieval systems, and streaming pipelines.
Senior Software Engineer (AI)
The Senior Software Engineer will build and maintain production-grade agentic AI systems and analytical features using Python and Go. The role involves end-to-end service ownership, including designing APIs, managing storage layers, and ensuring system reliability for intelligence analysts.
#EG Business Analyst
Bridge between business stakeholders and technical teams, gathering requirements and translating them into user stories and specs to deliver AI-driven financial solutions.