Tech jobs
Job listings
AI Solution Architect
Designs enterprise AI solutions, leads customer workshops, and architects scalable GenAI/LLM platforms on GCP, focusing on RAG, AI agents, and responsible AI practices.
Manager: AI Security Assurance
Oversee independent security validation for an organization’s AI/LLM ecosystem, conducting adversarial testing and control assessments to ensure models, APIs, and infrastructure are secure and compliant before deployment.
Software implementation engineer (ai & agentic workflows)
Our client is looking for a Software Implementation Engineer who is passionate about Artificial Intelligence, enterprise integrations, and automation. This is an exciting opportunity to join a fast-growing team at the…
Enterprise AI & Data Solution Architect
Designs scalable, secure AI and data architectures for enterprise clients, guiding pre-sales solutions and ensuring technical coherence from proposal to delivery.
Manager: ai security assurance
Leads independent security assurance for an organization’s AI/LLM ecosystem, conducting adversarial testing, validating controls, and ensuring AI solutions are secure, compliant, and production-ready.
AI Engineer (Up to 12k)
Build and improve AI-powered intent tools using LLM frameworks, vector databases, and microservices to automate knowledge base creation and quality control for chatbots.
Remote AI Engineer — Build Production Feature-Driven AI
Build and deploy production AI features using Python, FastAPI, LangChain, and vector databases, integrating with LLMs for scalable agent systems.
AI/ML Engineer Speech, RAG & Fine-Tuning
Build and deploy speech-to-speech pipelines, fine-tune LLMs (LLaMA 2/3), and implement RAG systems using open-source tools like Whisper, Coqui, and Hugging Face.
Senior Full Stack AI Engineer
Senior engineer building AI features end-to-end—from prototype to production—across full stack, AI layers, and healthcare domain, using agentic tools like Claude Code and modern frameworks.
Senior AI Engineer
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.
AI Security Engineer
Secure AI systems by identifying and mitigating risks like prompt injection, jailbreaks, and data leakage in LLMs, RAG pipelines, and AI agents while enforcing responsible AI governance.
Senior AI Software Engineer – Agentic Frameworks & LLMs
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Senior AI Engineer
Senior AI Engineer designs and deploys enterprise AI systems using TensorFlow, PyTorch, and LLM APIs, building scalable ML pipelines and computer vision/NLP solutions for fintech and healthcare clients.
Senior AWS AI Engineer: Innovate & Deploy AI Solutions
Lead the design, optimization, and deployment of AI/ML models on AWS, using SageMaker, Bedrock, and vector databases to build scalable, cloud-native solutions.
AI & ML Engineer
Build and deploy AI-powered features like chatbots and RAG systems using LLMs and vector databases, integrating them into client projects and internal tools.
Full stack AI Developer
Build full-stack AI applications using .NET, C#, React/Next.js, and Node.js, integrating LLMs with RAG, vector search, and tool-calling for scalable business automations.
Lead Backend & Data Engineer – AI Platform
Lead the backend and data engineering behind a next-gen RAG system, building scalable Apache Beam pipelines, Google Cloud Spanner graph queries, and FastAPI/Temporal services to power deterministic LLM agents.
Data Scientist/Analyst - AI Pipelines & Azure Cloud (Hybrid)
Design and optimize RAG pipelines and AI solutions using Azure cloud services, integrating vector databases and deploying models via Azure DevOps or AzureML.
Senior Data Engineer
Build and maintain data pipelines and ETL workflows in Python, orchestrating data ingestion from multiple sources for an AI-powered fintech using Kubernetes, Airflow, and cloud platforms.
AI Solutions Architect
Design and build an in-house AI environment, including MLOps pipelines and scalable infrastructure, to support model development and deployment for a product-focused AI company.