Freelance Mechanical CFD Engineer training AI agents on fluid simulations. Building verified solutions and Python checks for a global technology platform.
About the role
- Elastic AI Engineer developing autonomous agents using the Elastic Stack to enhance enterprise efficiency. Innovating workflows and integrating AI models for business process automation.
Responsibilities
- Invent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processes.
- Apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completion.
- Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action.
- Firm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agents.
- Oversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliant.
- Act as a domain expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity.
- Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes.
- Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations.
Requirements
- 3-5 years of work experience in a relevant field.
- Minimum 1 year experience building with the Elastic Stack.
- Knowledge of Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns is critical.
- Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation.
- Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems.
- Deep familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents.)
- Proven ability to apply emerging market trends—such as Multi-Agent Orchestration and Model Context Protocol (MCP)—to build high-impact, cost-optimized solutions that scale across the enterprise.
- Experience with Python or TypeScript for backend logic and agent orchestration.
- Familiarity with Kubernetes (Operators/Controllers), Docker, and Terraform for automated deployment.
- Hands-on experience with LLM providers.
Benefits
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
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