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Azure AI Engineer (Azure AI Foundry & Gen AI)
Design and deploy AI agents and GenAI solutions using Azure AI services, LangChain, and RAG pipelines to build AI copilots and chatbots for enterprise workflows.
AI Data Engineer
Builds and maintains AI-driven data pipelines and infrastructure to process, transform, and store data for LLM applications, RAG systems, and agentic AI workflows using Python, vector databases, and cloud platforms like AWS/Azure.
Senior full-stack ai engineer (remote, global projects)
Build AI-powered apps end-to-end: integrate LLMs and vector databases, design scalable APIs, and ship full-stack systems for real users.
Junior AI Engineer
Build and deploy AI/ML models, including generative AI and LLM-based apps, using frameworks like GPT or open-source models, and design RAG pipelines with vector databases.
Strong Junior/ Middle AI Engineer
Build production-ready AI agents, Voice AI solutions, and RAG pipelines using modern LLMs and agent frameworks like LangChain.
Principal AI/ML Engineer
Builds and scales AI systems for MLS, including semantic layers, knowledge graphs, and LLM-powered applications that power fan intelligence and personalization.
Manager ai products
Role : The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full…
Middle AI/ML Engineer
Build and deploy AI/ML models and LLM-based solutions in Palantir Foundry/AIP, integrating them into enterprise workflows for analytics and automation using Python and ML libraries.
Applied AI Engineer
Build and ship AI features end-to-end: design agent workflows, fine-tune models, and turn outputs into reliable production systems using Python, PyTorch/JAX, and modern LLMs.
Senior AI Platform Engineer
Build and own the AI platform powering legal AI agents and accelerators, including orchestration, retrieval, evaluation, and inference at scale for document-heavy legal workflows.
Data Engineer
Design and build scalable data pipelines and Lakehouse/Data Warehouse solutions using Microsoft Fabric, Azure Synapse, and Databricks to enable analytics and AI workloads.
Agentic AI Engineer, AI Automation
Build and deploy agentic AI workflows (LangGraph, AutoGen, CrewAI) that automate internal tasks using RAG, vector DBs, and full-stack Python/TypeScript systems.
Graph AI RAG Engineer - Wealth AI Platform
Design and build Graph RAG pipelines and knowledge graphs for a wealth-management AI platform, integrating vector search with graph traversal to power advisory and compliance workflows.
Senior Applied AI Engineer
Build and scale an agentic AI platform (Floyd) that turns investment research into structured insights using LLM APIs, vector DBs, and Databricks pipelines, while collaborating with investment teams.
Solution Architect/Lead Software Engineer (AI & Data Applications)
Designs AI-driven web apps by integrating LLMs, vector search, and real-time data; leads cloud-native architecture and full-stack development (Python + React) for production-ready solutions.
Databricks MLOps Engineer
Build and maintain cloud-native AI infrastructure on Databricks and AWS, deploying ML models and LLMs at scale with MLOps pipelines and observability.
AI Data Scientist - Autonomous Network
Build AI models for telecom networks: analyse telemetry, alarms, and topology to predict faults, optimize performance, and enable self-healing operations using Python, ML, and graph analytics.
Staff Data Engineer
Build and maintain Verkada’s enterprise data warehouse, automated pipelines, and analytics models to power company-wide reporting and AI-driven insights using Python, SQL, and cloud platforms like BigQuery or Snowflake.