Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Design and build secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrate agentic AI workflows using LLM frameworks for automation and decision support.
Develop mobile apps (iOS/Swift) and integrate AI tools into workflows, solving system-level problems for a media-focused product.
Builds Python backend APIs and orchestrates LLM workflows, focusing on retrieval/search pipelines and enterprise integrations.
Build and ship AI features into existing C# .NET ERP products, integrating LLMs via prompt design, RAG, and evaluation pipelines while ensuring production-grade reliability and accuracy.
Build and maintain data pipelines powering AI-driven SaaS security products, integrating with cloud services and APIs to detect threats and manage risks in enterprise environments.
Design and deploy enterprise-scale GenAI, RAG, and agentic AI solutions for a global energy trading firm, using Azure OpenAI, Databricks, and LangChain to automate workflows and enhance decision-making.
Lead AI Data Engineer builds and optimizes RAG pipelines, fine-tunes LLMs, and designs secure data ingestion systems for a proptech company serving insurance and banking clients.
Build AI-powered marketing intelligence systems: design data pipelines for AI agents, fine-tune LLMs for attribution and recommendations, and automate workflows using retrieval and orchestration layers.
Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
Build and deploy AI agents and automation workflows in Python using frameworks like LangChain and OpenAI Agents SDK to streamline healthcare operations while ensuring HIPAA compliance.
The Role This is a software engineering role first and foremost. You'll build and ship product capabilities across our platform — and a meaningful part of your work will be AI-powered features, which is why…
Lead the design and development of AI agents for test automation, including test-case generation, script creation, execution, and failure analysis using LLMs, RAG, and CI/CD integrations.
Design and build enterprise-scale Generative AI systems using LLMs, RAG, and vector databases; lead cross-functional teams to deploy models like GPT-4 and Llama3 on AWS/Azure.
Lead the design and scaling of AI-powered products and algorithms to enhance guest experiences and operational efficiency in hospitality using machine learning and generative AI.
Build and deploy AI-enabled full-stack applications using LLMs, RAG, and custom agents, integrating them into enterprise systems with MCP and cloud-native tooling.
Build and deploy intelligent AI agents using LangChain, LangGraph, and LLMs to automate enterprise supply-chain workflows with Python, FastAPI, and cloud-native tools.
Build and deploy ML systems for sports-tech products, including recommender engines, NLP, LLM apps, and semantic search, using Python, PyTorch, and SQL at scale.
Build ML models and analytics for retail/e-commerce: forecasting, personalization, and generative AI for search and support using Python, Spark, and cloud platforms.
Builds and improves search relevancy, ranking, and ML-powered enrichment systems for AWS Marketplace, impacting how millions find software using hybrid search and embeddings.
Design and integrate generative AI features (LLM orchestration, embeddings, fine-tuning) into client systems while ensuring security and compliance in both commercial and public-sector environments.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
