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Data Engineer
Data Engineer designing and maintaining scalable, low-latency data pipelines and infrastructure for real-time threat detection and risk scoring, using Python, SQL/NoSQL, Spark, and Kafka.
Data Engineer, Investment Services
Designs and maintains high-performance backend systems and data pipelines for AI-driven investment workflows, integrating generative AI and LLM solutions in a financial firm.
AI Engineer
Builds and scales backend services, high-throughput data pipelines, and APIs that power generative AI applications across Point72's investment workflows, taking models to production with Kubernetes, cloud infrastructure, and streaming data tooling. On-site role in Bengaluru with Point72's AI/ML Investment Services team (Cubist).
Senior Data Engineer (GenAI / AWS) | Claude Agent SDK | Amazon Bedrock | Python | 14+ years of experience
Contract role (3+ months, extension possible) for a senior data engineer building GenAI document-processing pipelines on AWS: Step Functions/Lambda/S3/Textract/Comprehend pipelines, vector databases and RAG knowledge bases, AI agents via Claude Agent SDK on Amazon Bedrock AgentCore, with CI/CD in GitHub Actions; 14+ years' experience and Python required.
Cientista de Dados Especialista - Busca
Senior data scientist on iFood's search team, improving the search pipeline end to end — query understanding, reranking and personalization — through machine learning, NLP, causal inference and large-scale A/B experimentation, building production-grade models and setting analytical standards.
Data & AI Engineer
Hands-on Data & AI Engineer at a Singapore financial advisory firm, building AI features, ML systems (LLMs/foundation models) and data pipelines for wealth management platforms. Core stack includes Kotlin and Python, Azure cloud (Azure ML, AI Foundry, ADLS Gen2), Docker/Kubernetes, RAG and MLOps.
AI Application Backend Development Engineer (Token Platform)
Backend engineer in Singapore building services for an AI/token platform: LLM integration and model routing, token metering and billing, RAG knowledge retrieval, and AI agent capabilities. Stack includes Python/Java/Go/Node.js with SQL/NoSQL databases and vector search.
SENIOR FULL STACK & INTEGRATION DEVELOPER
Senior full-stack developer to own internal R&D applications end-to-end: building cloud/browser software with TypeScript/Node.js, Vue 3/Nuxt and MongoDB, integrating ERP/CRM systems and shipping LLM features, while acting as the team's technical lead on architecture, releases and CI/CD.
AI Data Engineer (R-20104)
Data Engineer II in Dun & Bradstreet's AI & Ingestion team designs and runs production AI-powered data pipelines: acquiring and ingesting data from web collection, APIs and file feeds, then using LLMs/RAG on a GCP cloud platform (BigQuery, Dataflow, Vertex AI) for extraction, classification and entity matching, with strong Python/SQL.
AI/ML Engineer — LLM Pipelines and Research AI
Own the LLM pipelines behind MarketCatalyst's AI stock-market research terminal: generate market recaps and per-ticker reads, build price-move attribution and catalyst scoring, RAG-grounded research chat, LLM evaluations, and cost/latency management. Core stack: Python, TypeScript/Next.js, RAG, classical ML. Remote but Texas residents only; $80k–$120k plus possible equity.
Senior AI Engineer (LLMs, Python, AWS)
Contractor role via Niuro for a US tax software company: build and stabilize production LLM/agent systems, integrate AI via REST APIs, and operate the services on AWS/Azure with CI/CD and infrastructure-as-code. Core stack is Python/FastAPI with LLM platforms like OpenAI, Anthropic or Bedrock; 100% remote from Latin America, paid in USD.
AI Product Engineer, Full-Stack (Applied AI / Agents)
Builds W2S SI, the internal systems media buyers use to run client ad spend: automated buying rules on Meta/Google/TikTok, certified data pipelines and dashboards, and agentic chat/MCP tooling for real-time account actions. Stack: Python/TypeScript, Postgres/Supabase, Next.js, Redis, LLM agents.
GenAI Cloud Engineer
Builds and deploys enterprise-scale GenAI solutions — AI agents, agentic RAG apps, and cloud-native AI platforms — for a client in Newark, NJ (hybrid, 3 days onsite, long-term contract). Core stack: Python, JavaScript/TypeScript, AWS (Lambda, Bedrock, AgentCore), LangChain/LangGraph, and vector databases.
Forward Deployed Engineer
Forward-deployed full-stack engineer at a ~10-person startup building AI-driven intelligence systems for industrial operations (petrochemical plants, field ops). You spend weekly time with customers, prototype and validate with them, then ship end-to-end features using React/Next.js, TypeScript, Node/Fastify, PostgreSQL/Prisma, and Azure.
Junior Data Scientist
Junior Data Scientist at Veloxio Technologies, a startup building AI/ML and web solutions for clients. The role involves building and deploying ML models, Generative AI/LLM applications (RAG, embeddings, AI agents), and data pipelines, working directly under the CTO. Core stack is Python with Pandas, NumPy, and Scikit-learn.
Software Engineer II-Hybrid Role
Mid-level software engineer at Payarc, a payments company, who designs, builds, and maintains payment applications, APIs, and backend services with limited guidance in a PCI DSS-compliant environment. Works across a broad stack including PHP/Laravel, Java, Python, React, AWS, and Docker/Kubernetes; hybrid role based in Greenwich, CT.