Tech jobs
Job listings
GenAI Developer – Agentic AI / RAG / MCP
Build and deploy AI assistants and agents using generative AI, agentic AI, MCP, and RAG for enterprise integrations and automation workflows.
AI/ML Engineer
Lead the design, development, and deployment of enterprise-scale generative AI solutions using Azure OpenAI, RAG, and AI agents.
Lead AI/ML Engineer
Lead AI/ML Engineer designs, deploys, and optimizes AI/ML solutions in AWS for federal clients, mentors teams, and evaluates emerging technologies while ensuring secure, scalable implementations.
Senior Agentic Platform Engineer
Build Porch Group’s Agentic Platform: deploy and govern remote agents, MCP servers, retrieval pipelines, and LLM gateways using Python, TypeScript, Kubernetes, and Google Cloud.
Senior Data Scientist
Build and deploy AI/ML models and GenAI solutions for enterprise clients, using Python, PySpark, Azure AI, Databricks, and LLM/RAG techniques to drive measurable business value.
Data Scientist - Hybrid
Build and deploy predictive weather models and spatio-temporal ML systems to power B2B weather intelligence products and optimize adtech performance using Python, PyTorch/TensorFlow, and distributed frameworks.
Principal Product Manager - Knowledge Bases & Ask AI
About us HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling…
Principal AI Security Researcher
Lead AI security research by designing and executing realistic attacks (prompt injection, jailbreaks, agent abuse) to stress-test AI systems and inform defenses for Microsoft Security.
Senior AI Solutions Engineer, GenAI Enablement (all genders)
Build and deploy production-grade AI solutions like agents and RAG systems to automate workflows and improve productivity across HelloFresh’s teams.
Backend Engineer
Builds and scales the backend of an AI platform, integrating agents, LLMs, and RAG systems using Python and Go.
AI ML Engineer
Build AI-powered assistants and agents to automate semiconductor design infrastructure, troubleshooting, and operations using Python, RAG, and cloud-native tools.
Technical Program Manager - AI/ML, GOPs AI
Lead AI/ML and automation programs for semiconductor manufacturing operations, driving strategy, platform selection, and end-to-end deployment from discovery to value realization.
Especialista em SRE - Comunidade Agro Varejo
Define and evolves the tech vision for Itaú’s Agro Varejo community, leading AI-first platform architecture, cloud-native modernization, and DevSecOps practices to build scalable, resilient systems.
Lead AI/ ML Engineer with Google Cloud Platform and Senior AI/ ML Engineer with Google Cloud Platform - Remote role
Required Qualifications & Experience Core AI/ML & Agentic Engineering (Must-Have) 8 Years in software/AI engineering, with 3 years directly building, deploying, and maintaining production-grade LLM applications, RAG…
Agentic AI Engineer
RESPONSIBILITIES: Kforce has a client that is seeking an Agentic AI Engineer to join their team in Brookhaven, GA. Summary: We are seeking an Agentic AI Engineer to design, develop, and deploy enterprise-scale AI…
Software/Database Developer
Builds and maintains cloud-based data pipelines and SQL models on GCP, using BigQuery, dbt, and Airflow to support scalable analytics and ETL workflows in an agile team.
AI Software Engineer, Agentic SDLC Workflow Engineer
Build AI-driven workflows that automate software development tasks like code analysis, dependency discovery, and documentation generation using agentic frameworks and coding models.
Software Engineer - Apple Services Engineering
Builds and scales backend systems and AI-powered tools for Apple’s media services, including the Apple TV app and tvOS, to deliver high-quality streaming experiences globally.
Applied Scientist, GenAI & ML Systems
Builds and deploys production-grade GenAI/ML systems (LLM/SLM optimization) for multi-agent architectures in cloud environments, focusing on agent orchestration, RAG pipelines, and inference efficiency.