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.
Hands-on engineer building generative-AI applications — prototypes, copilots, agents, and RAG solutions — for Morgan Stanley's internal business teams, helping move AI capabilities toward production. Core stack: Python, LLM frameworks (LangChain/LangGraph, OpenAI/Claude SDKs), vector databases, and Azure/AWS.
Senior Product Manager owning the roadmap for ICA's document-intelligence platform serving government clients (including HHS programs). The PM translates client needs into testable requirements, coordinates data, ML, backend, search, and frontend teams, and defines measurable AI quality metrics, with preferred experience on AWS services.
Senior Data Scientist at Tufin in Tel Aviv leading end-to-end data science initiatives for security policy management systems: developing production ML models (predictive, anomaly detection), building security AI agents, and fine-tuning LLMs for domain-specific security use cases. Core stack: Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow), LLMs, and graph tech like Neo4j.
Mid-Level Solutions Architect designing and hands-on building secure, scalable Azure cloud applications for government and commercial customers, using React, Node.js, MySQL, REST APIs, and AI/LLM tooling. Remote role; requires U.S. citizenship and government project experience. Salary $90k-$105k.
A semantic architect at Accenture Federal Services who designs and implements enterprise knowledge graphs, ontologies, and taxonomies (OWL, RDF, SHACL) for federal government clients, integrating them with graph databases and AI pipelines such as RAG and vector search. Supports data governance, entity resolution, and semantic search capabilities.
Principal-level pre-sales Data + AI engineer at Microsoft in Singapore who leads complex technical sales engagements for professional-services customers across APAC — modernizing data estates (Microsoft Fabric, Azure Databricks, Purview) and designing AI-ready architectures (Azure OpenAI, RAG, Copilot) from technical decision through production adoption.
Senior Data Engineer who designs, scales, and maintains high-throughput ingestion, CDC, and incremental delivery pipelines on GCP for a client building foundational large language models. Core stack: GCP (BigQuery, Dataflow, Pub/Sub, GKE), Snowflake, ClickHouse, dbt Core, Apache Airflow, Python, and SQL.
Principal-level, 100% hands-on backend role at Blitzy, an AI platform that autonomously builds enterprise software. The engineer owns mission-critical production systems end to end, shipping Python microservices (REST/gRPC) on AWS, Kubernetes, and Terraform, and operating LLM-powered systems with relational, NoSQL, graph, and vector databases.
Senior engineer on the Product Foundations team building Metropolis Web Services — the core distributed platform services (IAM, notifications, message processing) powering Metropolis's checkout-free parking/mobility products. Heavy Java/JVM work with microservices, Kubernetes and AWS, service mesh, Kafka/SQS data flows, and Datadog observability; office-first role in Seattle, 4 days per week onsit
AutoRaptor (and its sister product TurboPT) is hiring a Senior SEO & UX Copywriter to plan and write landing pages, conversion funnels, help center guides, and blog content, run keyword/intent research in Ahrefs, Semrush, and Google Search Console, apply on-page and AI-answer SEO, write UX microcopy, and own organic traffic and conversion metrics. Remote role for a writer with 4+ years of B2B SaaS
Apertera (formerly Alexa Translations) is hiring a Data Engineering Team Lead in Islamabad to build and lead the team behind its enterprise data warehouse for multilingual translation assets (TMs, glossaries, metadata). The role blends SQL/Python/AWS data platform work, CAT/TMS integrations, and RAG/LLM data pipelines with people management.
Architects and builds scalable cloud-native backends — REST/GraphQL APIs, microservices, and databases — while integrating LLMs, RAG pipelines, and AI agents. Works with Python/Node.js/Java/Go, PostgreSQL/MongoDB/Redis, Docker/Kubernetes on AWS/Azure/GCP, plus OpenAI/Claude/Gemini APIs and vector databases.
Leads the technical architecture and hands-on build of SecurityScorecard's go-to-market systems, designing AI-powered workflows, agents, and integrations across Salesforce, Agentforce, Workato, Zapier, and Claude Code. Partners with GTM leadership, designs data models and scoring layers, and mentors GTM engineers.
The Opportunity Digital marketing has been fundamentally restructured by AI — and we need a leader who doesn't just understand that shift, but is actively shaping it. This is not a role for someone catching up;…
Senior full-stack engineer at PLACED, a Berlin AI startup building agentic-AI pipelines for Europe's recruitment agencies. Day to day: build Next.js/React frontends, FastAPI and Hono/Bun backends (helping migrate Python to TypeScript), PostgreSQL/pgvector schemas, LLM pipelines, and AWS/GCP infra. Hybrid, 3+ days on-site in Berlin Mitte or Potsdam-Babelsberg.
Defense Unicorns is hiring a Senior Data Engineer to embed with a government team, building the pipelines, storage, metadata, and APIs that make enterprise data usable by AI models, agents, and mission applications in secure environments. Core stack: Python, SQL, Kubernetes/OpenShift, vector and graph stores, and GitOps CI/CD.
Senior AI/LLM engineer serving as subject matter expert for a consulting team supporting NCBI (NIH) in Bethesda, MD, on-site. Day to day: designing, fine-tuning, and deploying LLMs and RAG pipelines for biomedical search and knowledge discovery, guiding architecture across product teams. Core stack: Python, PyTorch, Hugging Face, embeddings and vector databases.
Search Solutions Architect at Elastic who designs and delivers AI-powered search solutions using semantic/vector search, ELSER, and RAG; runs customer proof-of-concept projects, presents to technical and executive audiences, and evangelizes Elastic's Search AI Platform.
The Director, Data Engineering & AI leads West Monroe’s Data Engineering practice, driving business development, client delivery, and practice growth while architecting AI-enabled data solutions using technologies like Databricks, GCP, and Snowflake.
We couldn't check your fit for this role — add a CV to your profile to see it next time.