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Senior AI Engineer (Agentic AI)
Build and deploy enterprise-grade autonomous AI agents using LLMs, orchestration frameworks, and vector databases in Azure to power resilient workflows and RAG systems.
Senior AI Automation Engineer
Leads quality engineering for an enterprise AI platform, building test frameworks for Agentic AI workflows and LLM-based systems using Python, Java, and modern CI/CD stacks.
Remote AI Engineer: Build Scalable AI Solutions
Build and deploy AI-powered features using LLMs and machine learning models, integrating them into scalable backend systems and APIs.
Marketing Data Scientist, Data & AI Enablement
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
Software Engineer - AI Focused
Builds and integrates LLM-powered banking apps using agentic systems, RAG, and vector databases; develops front-end interfaces and ensures production reliability.
Senior Data Engineer
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
XTN-C475548 | AI + DATA ENGINEER
Build and deploy AI models (LLMs, ML) for healthcare insights, recruiter automation, and personalized experiences using Python, PyTorch, LangChain, and vector databases.
AI Engineer (LLM & Data Engineering)
Build and deploy AI models (LLMs, ML) and data pipelines for healthcare insights, recruiter automation, and personalized digital experiences using Python, PyTorch/TensorFlow, and LangChain.
Senior Backend Engineer — AI Platform (Remote)
Builds backend services and APIs in Python/TypeScript that orchestrate LLMs, vector databases, and agentic workflows for an AI-driven infrastructure automation platform.
Senior Python Engineer - Backend & Data (Remote)
Senior Python engineer builds production APIs and data pipelines for AI systems, ensuring clean, reliable data for RAG and agents using PostgreSQL, vector DBs, and FastAPI.
Senior Backend Engineer (Python) | WFH, Midshift
Builds and scales Python/FastAPI backend services that integrate LLMs, RAG pipelines, and vector databases for an AI-driven healthcare market-research platform.
Agentic AI Engineer (MY)
Build and deploy autonomous multi-agent AI systems using LangGraph/CrewAI, integrating RAG, tool use, and multimodal inputs for enterprise workflow automation.
Senior Software Engineer
Lead architecture and development of secure, scalable healthcare platforms integrating AI models, multi-modal databases, and real-time data pipelines for clinical insights.
Senior AI Engineer
Senior AI Engineer builds production-grade GenAI systems (RAG, agents, classification) for a bank using LLMs, prompt engineering, and vector search, while ensuring reliability, security, and governance.
AI Engineer- 5k- Contract- Insurance - No visa sponsorship
Build and deploy AI-powered insurance applications using LLMs, RAG, and vector databases. Integrate models into production systems with Python, cloud platforms, and AI orchestration frameworks.
AI Engineer (MY)
Build and deploy GenAI/RAG systems for AI-driven recruitment, including React dashboards, FastAPI backends, and Python pipelines for CV processing and candidate scoring.
AI Engineer (GenAI / RAG / LangGraph / Python)
Builds enterprise GenAI apps with Python, LangGraph, and RAG pipelines, integrating LLMs and vector search for AI agents and chatbots.
Associate, Full Stack Developer (Web3/Crypto & AI)
Build full-stack web apps that blend Web3/crypto (smart contracts, dApps) with AI features, using React/Next.js, Node.js/Python, and libraries like Ethers.js and LangChain.
Associate, Full Stack Developer (Web3/Crypto & AI)
Build full-stack web apps integrating Web3/crypto and AI, using React/Next.js, Node.js/Python, and smart contracts; connect UIs to blockchain protocols and LLM APIs.
Software Engineer - AI Accelerated Development
Build AI agents and agentic workflows into clinical trial platforms using .NET, integrating LLMs and RAG pipelines while ensuring auditability in a regulated healthcare environment.