> Markdown version of [/jobs/ext/4706007-senior-ai-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/4706007-senior-ai-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Forward Deployed Engineer - **Company:** Lorven Technologies Inc - **Location:** Bloomfield, CT, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Artificial Intelligence, Software Engineering, Large Language Models, Generative AI, Agentic-AI, Information Technology - **Published:** November 13, 2026 - **Apply:** https://www.dice.com/job-detail/32a68dd3-557b-4d4b-93c4-7ce803838359 ## About the Role * At least five years in senior individual contributor role and a record of owning production software. * Full stack engineering, production LLM and agent experience, system design for reliable agent workflows, comfort with ambiguity, and clear communication with business stakeholders. * Experience with forward deployed or applied AI work, retrieval augmented generation (RAG), agent frameworks, and reusable deployment practices. * Bachelor's degree in computer science or related field. ## Description * Work in an AI environment with team members and agents * Follow engineering best practices and take pride in it. * Agile Ceremonies - Participate and Contribute * Applications Development leveraging AI- Analysis Design Development Testing * Support QE Testing Volume Testing Implementation Warranty Team Members, * Client and scope problems by observing real workflows and working with business stakeholders. * Build and review production AI systems, including agent workflows and integrations with enterprise systems. * Direct agent assisted delivery at L2 and define outcomes and architectural guardrails for more autonomous development at L3. * Create evaluation suits whether AI systems are accurate, safe, and ready for use. * Stabilize deployments, hand them to the owning team, and share reusable patterns across the organization.