Forward Deployed AI Engineer

Build context graphs. Help ingest, clean, structure, and connect data from enterprise systems into context graph. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources. Develop AI and agentic workflows. Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses. Connect to enterprise systems. Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications. Prototype automation opportunities. Rapidly build proof-of-concepts that show how AI can improve a client's operations - for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support. Turn messy business problems into software. Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications. Support production deployments. Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed. Technical Background Strong Python fundamentals. Basic backend development experience Familiarity with APIs, databases, and cloud services. Interest in LLMs, agents, retrieval, structured outputs, and tool-calling. Familiarity with data pipelines and messy real-world datasets.

Desired Candidate Profile

Ideal Candidate We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments. You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.