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Senior AI Automation Engineer
Design and build cloud-native AI platforms using LLM orchestration, vector search, and agentic workflows to automate complex business tasks and deliver measurable outcomes.
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.
GenAI Data Engineer: LLMs, LangChain & FastAPI Specialist
Design and build generative AI workflows using Python, LangChain, and FastAPI, focusing on LLMs and RAG systems for healthcare-adjacent applications.
AI Engineer II
Build and deploy AI-powered apps using LLMs, RAG pipelines, and Azure AI services. Engineer conversational agents, intelligent search tools, and enterprise integrations in a hybrid role.
AI Engineer
Builds and deploys AI-powered applications using LLMs, RAG, and agentic AI; integrates with cloud services and vector databases.
Generative AI Architect (Databricks & Agentic AI)
Design and govern end-to-end enterprise GenAI architectures on Databricks, integrating LLMs, vector search, and agentic workflows with Python and Azure.
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.
AI Engineer
Builds AI/LLM-powered applications like agents and chatflows for medical device companies using LangChain, vector DBs, and RAG pipelines.
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.
AI Engineer (Generative AI | RAG | AI Agents)
Build production-ready enterprise AI apps using LLMs, RAG, and AI agents with Python, FastAPI, and cloud platforms to automate workflows and unlock business knowledge.
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.
Senior / Staff data Engineer (Agentic AI)
Designs and optimizes scalable data pipelines and agentic AI workflows to process sensor/image data and support advanced analytics and automation initiatives.
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.
Senior Data Engineer (MOSAIC AI)
Build and deploy AI agents using Databricks Mosaic AI, LangChain/LangGraph, and RAG pipelines; integrate base models and implement MLOps best practices.
AI Engineer: LLMs, Data Pipelines & Personalization
Build and deploy AI solutions using LLMs, ML models, and data pipelines to generate healthcare insights, automate recruiting, and personalize user experiences.
AI Data Engineer
Build and deploy AI/ML pipelines using LLMs, RAG, and vector databases with Python, LangChain, and FastAPI on GCP.
Python Data Engineer
Builds an AI-powered Jira-integrated backend that auto-investigates connected-car tickets using multi-agent workflows, event-driven pipelines, and AWS services like ECS, SQS, and Bedrock.
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.