Search jobs right inside Claude, ChatGPT or Cursor. Connect freehire over MCP — free, no account needed to search.
Builds production-grade AI agents, autonomous workflows, and LLM-powered automations at GameStop's Grapevine, TX office, owning projects end to end from prototype to deployment. Core tech includes LLM frameworks (LangChain, LangGraph, CrewAI, LlamaIndex), RAG, vector databases, Python/TypeScript, FastAPI, Docker, and cloud platforms.
Senior Java engineer building and maintaining scalable backend services for Fanatics Betting & Gaming’s internal platforms, integrating with Salesforce and other systems using Spring Boot, REST APIs, and AWS.
Senior Salesforce Engineer at Fanatics Betting & Gaming building and maintaining Salesforce solutions (Apex, Lightning Web Components, Flows) that power internal workflows for the sportsbook and casino business, including REST/SOAP API integrations with Java backend services, data management, and CI/CD-based deployments.
Staff-level individual contributor setting technical direction for Fanatics Betting & Gaming's internal platform services: designing and building Java/Spring Boot backend services, APIs, event-driven systems, and third-party SaaS/CRM integrations, while owning architecture, mentoring engineers, and sharing production on-call for a regulated sportsbook platform.
Lead AI Engineer/Data Scientist role in Bengaluru (hybrid, onsite mandates) owning end-to-end enterprise AI solutions: architecting deep learning and reinforcement learning systems, optimizing production inference with TensorRT/ONNX/Triton, scaling training on Azure ML and AKS, and mentoring engineers while setting team-wide technical standards.
MLOps Engineer designing, deploying, and running scalable cloud ML infrastructure on AWS/GCP/Azure — automating with Terraform, Ansible, Helm and Kubernetes, building CI/CD and training/validation/inference pipelines (Airflow, MLflow, DVC, Spark), and operating observability stacks (Prometheus, Grafana, ELK) for AI/ML workloads.
Senior AI Engineer (4 openings) building and industrializing production-grade GenAI agents — LLMs, RAG, agent orchestration, and LLMOps — within the Microsoft/Azure ecosystem (Azure OpenAI, Semantic Kernel, .NET 8, Python), on a hybrid basis (3 days/week in office) in Lisbon or Porto.
Hands-on AI engineer/data scientist building production-grade GenAI and agentic AI applications that automate enterprise workflows — designing RAG pipelines, deploying on the Azure AI stack with Databricks ML, and shipping AI products with measurable business impact. Hybrid role in Bangalore for candidates with 5+ years of ML/AI experience.
Senior AI engineer (7+ yrs) hired via LRR Technologies to work with client Kidde Global Solutions (fire & life safety MNC) in Hyderabad: building production GenAI, RAG, and AI-agent workflow automation with Python, LangChain/LangGraph, OpenAI/Azure LLMs, and Microsoft 365 integrations. Pays ₹30–37.5 lakh per annum.
Clera is hiring a mid-level AI engineer on-site in San Francisco to build production agentic LLM systems that automate multi-step workflows in regulated domains. Day to day: RAG pipelines, multi-agent orchestration, evals and safety tooling, and full-stack delivery with Python, TypeScript/React, and cloud platforms like AWS or GCP.
Senior role creating and delivering technical content for AI-native cloud infrastructure, including conference talks, executive briefings, and hands-on demos to engage developers and enterprises.
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset,…
Three-month internship at Docusign (San Francisco, hybrid, min 2 days/week in office) building autonomous multi-agent AI workflows: designing agents with CrewAI, Python, and Google's Gemini ADK, integrating LLM APIs, connecting agents to SQL databases and APIs, doing prompt engineering, and building evaluation frameworks.
About the Company Our client is building an AI-native operations platform for commercial trades such as HVAC, plumbing, fire safety, and related services—large, essential industries that still operate with manual…
Builds and deploys AI-powered applications using generative AI and machine learning: Python APIs (FastAPI/Flask), LLM integrations (OpenAI, Claude, Gemini), RAG and agent frameworks, plus vector databases, cloud deployment (AWS/Azure/GCP) and Docker.
Develops, tests, and deploys AI/ML and Generative AI applications in Python — building RAG pipelines and LLM-powered apps (OpenAI, Claude, Gemini) with LangChain/LlamaIndex, FastAPI/Flask APIs, vector databases, and deploying via cloud platforms and Docker.
Builds and deploys AI-powered applications in Noida, working with LLMs (OpenAI, Azure OpenAI, Claude, Gemini), RAG systems, and AI frameworks like LangChain and LlamaIndex. Develops scalable APIs with FastAPI/Flask, trains and evaluates ML models, and integrates vector databases such as Pinecone, FAISS, Weaviate, and Chroma.
Senior AI/ML Engineer designing Python-based LLM, NLP, and voice AI systems (conversational IVR, intent detection, call routing) for a telecom end client in Charlotte, NC. Day-to-day work spans text classification/clustering, RAG and prompt engineering, Agentic AI workflows, and establishing LLMOps practices while mentoring junior engineers.
Builds and prototypes AI integrations for Nebius’s cloud platform, shaping reference architectures and product requirements while collaborating with partner engineering teams.
Мы в Boiler Lab ищем джуна в команду партнёрств AIMLAPI — платформы, через которую разработчики подключают сотни AI-моделей по одному API. Офис в Москве или Санкт-Петербурге, фултайм, з/п обсуждается индивидуально Что…
