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Build Rust backend services for real-time AI policy enforcement at White Circle, an AI Safety startup processing 100M+ API calls monthly. Own features end-to-end using async Rust (Tokio, Axum/Actix) and PostgreSQL, with a focus on performance, reliability, and observability.
Joins White Circle (an AI Safety company) to train and fine-tune large-scale multimodal models (vision-language, audio, speech, video) from scratch and pretrained checkpoints, build data and alignment pipelines (SFT, DPO, GRPO), optimize for production (quantization, distillation), and deploy end-to-end. Core stack is PyTorch with distributed training (DeepSpeed, FSDP) and multimodal architectures
A hands-on engineer embedded with enterprise customers, prototyping and productionising agentic AI applications built on Claude. Day to day: technical discovery, building LLM workflows with tool use/MCP/RAG, designing evaluation frameworks, and deploying to AWS, Azure or GCP using Python or TypeScript.
Senior AI Engineer at WeDOTalent, a Brazilian HRTech startup building autonomous recruiting. The role builds core product layers: multi-agent LLM systems in production, LLM orchestration and tool calling, continuous evaluation harnesses, and runtime governance infra, using Python, LangGraph/AutoGen, Rails, Next.js, PostgreSQL/pgvector and GCP.
Senior Data Engineer who designs, builds, and operates production-grade batch and streaming data pipelines on Google Cloud Platform, while integrating agentic AI and LLM frameworks (LangChain, LlamaIndex) such as tool calling, memory, and RAG into production data systems. Core stack: Python, Java, Spring Boot, dbt, and Spark on GCP.
Senior Data Engineer at Vibehackers in Negros Occidental, Philippines, designing and running production-grade batch and streaming data pipelines on Google Cloud Platform, and embedding agentic AI (LangChain, LlamaIndex, LLM frameworks) to enable autonomous workflows.
Builds and operates AI-powered applications — LLM integrations, RAG pipelines, and agentic workflows — along with the DevOps infrastructure that runs them: CI/CD, Docker/Kubernetes, Terraform, AWS/GCP and GPU compute, plus monitoring, security, and workflow automation across cloud, on-premise, and private cloud environments.
Builds backend Python data pipelines, Snowflake SQL workflows, REST API integrations, and web-based self-service applications (Flask/FastAPI + HTML/JS) on AWS, replacing 40+ internal Alteryx Gallery apps. Requires 7+ years of Python, production pipeline ownership, and mandatory AI-assisted/agentic development with tools like Claude.
Staff-level Data Scientist at Swiggy (Bengaluru) who architecturally leads AI systems for Search, Recommendations, Ads and Discount Optimization on the food delivery platform. The role demands deep ML/DL and GenAI/LLM expertise (transformers, ranking, RAG, bandits/RL), strong system design for low-latency production ML, and mentoring of senior scientists/engineers, with 8-12 years of experience.
Data Engineer at Inception42 (a G42 company) in Abu Dhabi who builds scalable data pipelines and develops AI solutions on Azure — deploying AI agents, RAG pipelines and vector database integrations using Azure Agent Foundry, OpenAI, LangChain, Databricks, Python/PySpark, and containerized MLOps tooling.
Data engineer at Inception42 (a G42 company) in Abu Dhabi who builds scalable data pipelines and AI solutions using Azure Agent Foundry, OpenAI, LangChain, and Databricks, collaborating with data scientists, ML engineers, and product teams while supporting MLOps and DevOps processes.
Builds and ships end-to-end AI-powered applications (LLM orchestration, RAG retrieval pipelines, backend APIs, and React frontends) for Surbana Jurong's business lines, owning the full SDLC from architecture through CI/CD and cloud deployment. Core stack: Python, LLM APIs, vector databases, and cloud/container tooling, with a forward-deployed working model alongside business teams.
Svitla Systems is hiring a Senior Full Stack Engineer to build scalable, enterprise-grade applications for a client serving financial institutions. Daily work spans Java Spring Boot APIs, Angular/TypeScript front-ends, PostgreSQL and Databricks data services, and AWS cloud deployment, including LLM-powered features.
BMO Financial in Calgary is hiring a full stack engineer (5-10 yrs) to build and support banking and client onboarding platforms end-to-end across React/Angular frontends, Java/Node.js/Python backends, and microservices/APIs, while embedding LLM features such as RAG pipelines, document processing, and agentic workflows in a regulated banking environment.
Full Stack Developer at Vesta Software Group (Avance/Jonas Software) in Toronto: lead the replatforming of legacy systems onto modern stacks, build AI-powered product features, and set engineering standards on a small team. Core stack: Node.js or Python backend, React or Vue frontend, SQL, Git/CI-CD, AWS or Azure.
Senior Python developer (8-10 years) building and deploying production GenAI/LLM solutions for client Citi Bank in Mississauga. Day-to-day centers on RAG pipelines, agentic AI, and prompt engineering using LangChain/LlamaIndex, vector databases, FastAPI, PyTorch, and MLOps on Kubernetes/OpenShift.
A senior (8-10 years) Python developer role placed at Citi Bank in Mississauga, building and deploying Generative AI/LLM applications. Day-to-day work centers on RAG pipelines, LLM app development and prompt engineering using Python, FastAPI, LangChain, PyTorch, vector databases, plus MLOps and Kubernetes/OpenShift deployment.
Third engineer joining two founders to take technical ownership of OneView, a legal AI platform for contract review and compliance. Day to day spans PostgreSQL/pgvector retrieval, LangGraph pipelines, a FastAPI backend, React/TypeScript frontend and CI/CD/observability, with a growth path to CTO.
A senior engineer in Antwerp takes technical ownership of the AI product OneView, building LangGraph retrieval pipelines on PostgreSQL/pgvector, a FastAPI backend, and a React/TypeScript frontend, with CI/CD and observability on Azure, on a path toward a CTO role in a small team.
An AI DevOps Engineer at Elavon (a U.S. Bank subsidiary) owns the deployment, operations, and reliability of the company's centralised AI-SDLC platform, handling infrastructure, CI/CD, monitoring, and on-call support. The core stack is AWS with Terraform, Docker/Kubernetes, GitLab/Jenkins/Harness pipelines, OpenTelemetry/CloudWatch observability, and Python/Bash automation.
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