W2 Role:
Hiring: Forward Deployment Engineer – AI / Agentic Engineer
Location: Hybrid – Bloomfield, CT or Austin, TX
Remote: Strong remote candidates may be considered; onsite candidates prioritized.
Experience: 13+
We are looking for a hands-on Forward Deployment Engineer who can build and ship production-grade AI agents and automation solutions using an AI-native development approach.
What You'll Do
-Build and deploy AI agents using tool/function calling, multi-turn context, MCP, and agentic design patterns.
-Use Claude, Cursor, and Codex as part of your daily development workflow.
-Evaluate and validate non-deterministic LLM output and ensure production-quality results.
-Take solutions from concept to production with minimal handoffs.
-Build across frontend, backend, data engineering, and cloud infrastructure
-Design AI-assisted workflows and reusable agent skills for engineering teams.
-Build data pipelines and analytical solutions using Databricks and AWS.
Partner directly with Product Managers and business stakeholders.
-Make architectural decisions around AI/LLM-based solutions vs. deterministic approaches.
-Deploy, debug, and operate applications in AWS production environments.
️ Required Skills:
AI/LLM: Claude, Cursor, Codex, Anthropic/OpenAI APIs, Prompting, Tool Use, Agent Patterns, MCP.
Frontend: React, TypeScript.
Backend: Python or Node.js, REST/GraphQL APIs, Event-Driven Architecture.
Data: Databricks, PySpark, Delta Lake, Notebooks, Workflows.
Cloud: AWS – S3, Lambda, Glue, Redshift.
IaC: Infrastructure-as-Code experience preferred.
Visualization: Streamlit, Tableau, or Evidence is a plus.