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.
Build and deploy multi-step AI agents using Python, LangChain/LangGraph/ADK, and GCP’s Vertex AI suite for text/code generation and tool use.
Build and deploy AI/ML models in Python for fintech use cases, using LLMs and MLOps pipelines while leveraging AI tools to accelerate development.
Develop and deploy GenAI solutions in Python, focusing on RAG, fine-tuning, and multi-model pipelines, while benchmarking LLM performance and building scalable APIs for production use.
Build and deploy GenAI solutions in Python, integrating LLMs with RAG, fine-tuning, and multi-agent pipelines while maintaining robust APIs and benchmarking model performance.
Build and scale the backend platform powering AI agents (voice, chat, custom) that operate Close’s CRM via MCP, LangFuse, and Python/Temporal, shipping non-deterministic features to 11,000 customers.
Develops low-level network software in C/C++/Python to manage physical-layer connectivity, including 1G to 400G interfaces, telemetry, and hardware integration for Arista’s networking platforms.
Develops low-level network software in C/C++/Python to manage physical-layer connectivity, including 400G optics and telemetry tools, while collaborating with hardware teams and customers.
Senior Full-Stack Engineer building an AI-powered financial crime investigation platform in fintech, using React, Python, FastAPI, LangGraph, and AWS.
Build and deploy ML models to detect abuse and protect Apple’s ecosystem, using LLMs and deep learning while ensuring user privacy and security.
Lead a team to build and ship scalable generative AI applications using Google’s latest models, translating research into real-world products while mentoring engineers.
Lead a team to design, build, and deploy ML/AI systems for ecommerce search, recommendations, and personalization, shipping models that directly move business metrics.
Lead the build and deployment of production-grade AI systems, fine-tuning large language models and optimizing GPU-based training/inference pipelines.
Design and deliver enterprise-scale generative AI systems on AWS, using Amazon Bedrock, RAG, and agentic workflows while defining architecture standards and ensuring governance and security.
Leads product vision for AI Recruiter, an LLM-powered hiring assistant that screens resumes, conducts interviews, and matches candidates to jobs within Avito’s job platform.
Lead the online reinforcement learning team for STEM-focused LLM post-training at GigaChat, designing RLHF pipelines, reward models, and data curation to improve reasoning in math, physics, and other sciences.
Lead the online reinforcement-learning team for GigaChat, designing post-training methods, reward models, and data pipelines to make the LLM more helpful and user-friendly.
Build and deploy AI agents for process optimization in banking, focusing on NLP tasks like semantic search, classification, and LLM fine-tuning (SFT, RAG) using Python and frameworks like PyTorch and LangChain.
Senior data scientist leading a small team to build and improve an AI copilot for bank staff, focusing on LLM/NLP models for risk management and customer dialogue.
Lead AI engineering projects, architecting and deploying Classical, Generative, and Agentic AI solutions in Python while mentoring teams and aligning with client needs.
Design and deploy production-grade GenAI and ML solutions on AWS, optimizing cost, security, and performance while embedding reusable patterns into DoiT’s Cloud Intelligence platform.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
