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AI Engineer
Build and deploy AI-powered applications using Azure AI, Python, and JavaScript/TypeScript to automate processes and improve decision-making in a government agency.
Senior AI/ML Engineer
Build and deploy AI agents that automate silicon IP design workflows using RAG, structured tool execution, and EDA tool integration to accelerate spec-to-netlist cycles.
Applied AI Engineer (Squad Lead)
Lead a team building production-grade AI agents and applications for a regulated fintech platform, from POC to deployment, using LLMs, RAG, and vector databases.
Forward Deployed Senior Data Scientist
Build and deploy enterprise-grade AI and ML solutions, including Generative AI apps with LLMs, RAG, and vector databases, to solve complex business problems for SAP customers.
Forward Deployed Senior Data Scientist
Build and deploy enterprise-grade AI and ML solutions for SAP customers, integrating LLMs, RAG, and vector databases into production systems.
AI Engineer
Build enterprise AI apps using LLMs, RAG, MCP servers, and Agentic AI with Langchain/LangGraph for a Boston-based insurer.
Senior AI-Driven QA Automation Engineer
Designs and maintains AI-powered test automation frameworks using LangChain, vector/graph databases, and CI/CD for digital products at a financial services company.
Senior Software Engineer - AI Experience EU/UK remote (m/f/d)
Build AI-powered finance copilots and chat experiences that help companies automate spend management using LLMs, retrieval, and structured financial data in a production-grade system.
Sr. Gen AI - Tester
Senior Generative AI Tester builds and automates test frameworks for LLM-based airline systems, validating accuracy, safety, and performance of AI agents and conversational AI used in airline operations.
AI/ML Intern – Full-Stack AI Solutions Development
Build and deploy AI-powered applications and models, including LLMs and agentic systems, using Python and full-stack development skills.
Lead AI Engineer
Lead the design and deployment of production-grade AI systems, including LLMs, RAG, and agentic AI, using FastAPI/Flask and MLOps pipelines.
Data Scientist (NLP / Prompt Engineering)
Build and refine enterprise-grade AI agents for document processing and automation using NLP, prompt engineering, and RAG pipelines.
Senior Data Scientist
Build ML models and A/B tests on PB-scale data to drive business decisions, deploy models via MLOps, and communicate insights to stakeholders.
AI Software Engineer
Build and deploy enterprise-ready AI agents and cloud-native workflows, integrating LLM APIs and orchestration frameworks to automate complex business processes for clients.
AI Engineer
Design and deploy LLM-powered features, build RAG pipelines, and implement agentic workflows using Python and Azure, focusing on evaluation and integration with minimal supervision.
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.
Backend (AI Prompt Engineering)
Builds and optimizes real-time AI teaching backends and prompt systems to improve conversational stability, safety, and educational outcomes using Java/Spring and LLM orchestration.
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.
Hands-on AI/ML Engineer: Build Multi-Agent Pipelines
Build and deploy multi-agent AI pipelines using LangGraph/LangChain, integrating AWS services and OCR tools to turn designs into working agentic workflows.