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Build, test, and deploy AI/ML models; preprocess data and help fine-tune models for Translation Empire’s AI-driven applications.
Build and ship LLM-powered features for enterprise clients, including RAG systems, AI agents, and vector-based retrieval pipelines using Python, LangChain, and cloud tools.
Lead end-to-end training of large language models using domain-adaptive pretraining, fine-tuning, and reinforcement learning, while building robust data and evaluation pipelines for intelligent agent systems.
Build and deploy AI-powered insurance workflows using LLMs and agent-based automation to process submissions, policies, and client communications.
Build production-grade AI features like RAG pipelines and agentic workflows using Python, FastAPI, and vector stores; ship LLM-powered services end-to-end.
Senior AI engineer building a distributed automation platform in Python/FastAPI, orchestrating 1,000+ concurrent browser jobs with Celery, Redis, PostgreSQL, Playwright/Puppeteer, and Kubernetes.
Build and deploy production-grade ML models and RAG pipelines to replace rule-based systems, focusing on model quality, evaluation, and self-hosted LLM inference.
Build, optimize, and deploy AI/ML models (including LLMs) using Python, TensorFlow/PyTorch, and cloud platforms in a product-focused team.
Build and ship AI-powered features end-to-end: prototype LLM workflows in React/TypeScript and Python/Node, then take them to production across GuardPass’s security-training platform.
Senior AI Engineer designs and deploys production-ready ML/LLM models, builds data pipelines, and mentors junior engineers for Devsinc’s client projects.
Build and deploy AI-powered workflows to automate operations, sales, and content for a CPG company using tools like ChatGPT and Zapier.
Build and fine-tune AI models using Python, TensorFlow/PyTorch, and cloud services like AWS Bedrock and Azure OpenAI to deliver industry-specific solutions.
Build AI-powered systems using Python, FastAPI, and LLMs; develop agentic AI, RAG pipelines, and workflow automations; deploy on AWS.
Builds AI-powered websites, chatbots, and voice agents for UK clients by engineering prompts, integrating APIs, and automating workflows using modern AI platforms.
Senior AI Engineer builds and operates a multi-agent GenAI system with retrieval, knowledge ingestion, and evaluation pipelines, integrating model APIs and cloud infrastructure.
Build, optimize, and deploy AI/ML models end-to-end, handling the full lifecycle from development to production scaling in a cloud environment.
Builds AI-powered features, data pipelines, and backend services using LLMs and cloud-native tools in a fast-paced product team.
Design and maintain scalable data pipelines and AI/ML solutions using Python, SQL, and cloud services to build reliable data-driven applications.
Senior DevOps & AI Engineer builds and maintains AWS-based telephony and AI products for a US SaaS power dialer, migrating from PHP to Node.js microservices.
Build production-grade AI agents and LLM-powered features like chatbots and RAG systems using Python, FastAPI, and third-party models (OpenAI, Gemini, Claude).
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