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Hybrid AI leader and data scientist building LLM integrations, RAG solutions, and ML models for corporate analytics, automation, and decision support at a global consumer-goods company.
Designs and builds mission-critical IT/OT systems that link enterprise software with factory MES platforms using Python, Django, SQL, and applied AI/ML to improve manufacturing efficiency and quality.
Build and deploy AI-powered apps, LLMs, and automation workflows using Python, FastAPI/Flask, and backend services while collaborating on live industry projects.
Build and maintain scalable business apps using Go for backend, React/TypeScript for frontend, and cloud-native tools like AWS and Docker.
Summary 1. The role requires a self-motivated individual with 3+ years of experience, strong problem-solving skills, and proficiency in Python, along with familiarity with scheduling and automation tools. 2.…
Builds and maintains Python-based GenAI applications and microservices, integrating AI models with enterprise systems using FastAPI, cloud platforms, and GenAI techniques like RAGs.
Build and deploy AI agents, ML models, and agentic workflows to automate FPGA testing and development using Python, LLMs, and RAG pipelines.
Build and maintain Python-based microservices with FastAPI and MySQL for global logistics systems, collaborating with cross-functional teams to deliver scalable, high-performance applications.
Lead migration of backend services from Java/Spring Boot to Python (Django/FastAPI/Flask), build scalable REST APIs, and maintain PostgreSQL databases in an AWS CI/CD environment.
Build and ship full-stack features in Python/Django and React to automate labor compliance for energy and construction projects, with AWS deployment and on-call rotation.
Build and maintain clinical NLP and AI pipelines for a healthcare AI platform, integrating agentic frameworks (LangChain, CrewAI) and ensuring reliable, explainable AI-driven coding solutions.
Build and maintain full-stack web applications, focusing on quality, performance, security, and maintainability across the development lifecycle.
Build and maintain browser-based web applications end-to-end, writing clean code across frontend, backend, and database layers.
Builds and maintains cloud-native travel insurance microservices using Laravel, PHP, and modern front-end frameworks like React or Angular on AWS.
Build and deploy Python-based APIs and web apps using Django/Flask/FastAPI, focusing on performance and scalable architecture for client products.
Build and maintain data pipelines in Snowflake and Airflow, write Python/SQL, and optionally create REST APIs with FastAPI/Flask.
Builds full-stack cloud apps on GCP with Terraform, integrating LLMs and agentic AI to automate industrial analytics and decision-making for Ford’s mobility products.
Build AI-powered analytics tools for Ford’s mobility data, using full-stack development, GCP/Terraform, and LLM-driven agentic workflows to automate industrial decision-making.
Senior principal engineer building and governing mission-critical IT/OT systems that integrate enterprise platforms with factory MES, using Python/Django, SQL, and applied AI/ML to drive shop-floor efficiency and real-time analytics.
Principal AI Engineer designs and owns the shared AI architecture for multi-agent marketing systems, retrieval pipelines, and evaluation frameworks that power SMB-focused products at scale.
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