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ML Engineer III
Build and deploy ML models, NLP systems, and GenAI pipelines (RAG, LLMs) to power predictive and retrieval-driven features for a B2B AI platform.
Senior GenAI/Python Engineer
Build and deploy LLM-powered agentic applications in Python using FastAPI, LangChain, and vector search, focusing on structured output extraction and async orchestration.
AI Engineer - Sênior
Senior AI Engineer builds and deploys generative-AI solutions end-to-end for a large Brazilian hospital network, integrating with Node.js/.NET/React and shipping via Azure DevOps on GCP.
[Job-31014] Senior Software Developer
Build and scale enterprise-grade Generative AI and Agentic AI systems using Python, RAG, and agent frameworks like LangChain, ensuring security, observability, and cost-efficient deployment in cloud environments.
Staff AI Backend Engineer — Production-Grade GenAI
Lead backend engineering for production-grade GenAI and agentic AI systems in a regulated environment, deploying on OpenShift and scaling LangChain/LangGraph prototypes with security and observability.
Engenheiro de Automação e Infraestrutura (N8N) — DevOps/Cloud
Build and maintain n8n automation workflows, integrate systems via APIs, and run DevOps/cloud ops on AWS/GCP/K8s while embedding generative-AI features.
Gen AI Architect
Required Skills 10 years of experience in software architecture, AI/ML, or enterprise application development . 3 years of hands-on experience with Generative AI / LLM technologies . Strong understanding of LLMs,…
AI Product Engineer (.NET + React)
Build AI-powered full-stack apps with .NET Core and React, using AI tools to analyze requirements, generate code, and deliver production features like conversational assistants and RAG systems.
GenAI Engineer with AWS Bedrock
Hi, Hope you''re doing great I have urgent requirements for GenAI Engineer with AWS Bedrock . If you are interested, then please share your resume. Role: GenAI Engineer with AWS Bedrock Location: Plano, TX- Hybrid…
Data Scientist
Build and ship AI features for business software, from prototypes to production using LLMs, transformers, and A/B testing in AWS.
Senior Software Engineer
Build and operate national-scale automation and observability platforms for Australia’s largest telco, using Go, Python, Kafka, and AI-driven systems to keep 11 million customers online.
Senior Full Stack Developer (Python)
Build and deploy AI-powered automations and tools in Python to optimize workflows, integrate APIs, and accelerate go-to-market execution for a zero-copy data security platform.
AI Product Engineer
About Sunset At its core, Sunset was founded to help founders. We started by supporting startups through shutting down, but we have since expanded into unlocking a new revenue stream for all types of businesses. In…
Staff Software Engineer (Forward Deployed)
Staff Software Engineer (Forward Deployed) leads AI-driven solutions, working directly with clients to reshape critical workflows. This hybrid role combines AI engineering, software building, and technical consulting.
Forward Deployed Engineer & Agentic Workflow Engineer – AI Innovation & Transformation
Build and deploy production-grade agentic AI workflows for finance teams, integrating LLMs with ERP/CRM systems and mentoring clients on rapid AI adoption.
Senior Software Engineer (Forward Deployed)
Build and deploy AI-powered workflows for enterprise clients, integrating LLMs, retrieval systems, and automation tools while collaborating with stakeholders to solve messy real-world data problems.
Senior Consultant - AI Engineer
Senior AI Engineer designs and delivers agentic and generative AI systems for clients, owning architecture, prototyping, and production rollout using Python, AWS Bedrock, LangChain, and RAG pipelines.
Senior / Staff Full Stack Engineer – AI
Builds and deploys AI-powered, agentic applications using React/TypeScript, Python/Go/Java, and LLM frameworks like LangGraph on AWS with Kubernetes.
Solutions Architect
Designs and implements end-to-end data and AI solutions for large enterprises using cloud platforms like Snowflake, AWS, Azure, and GCP, while leading teams and advising clients.