Why This Role Stands Out
As a Forward Deployed Engineer at Conflux Systems Inc, you'll gain valuable experience by building cutting-edge AI/GenAI solutions and automations that directly impact business outcomes. This hybrid role is ideal for experienced engineers who thrive on solving complex problems and collaborating with diverse teams to deliver innovative technology. Embrace this opportunity to grow your skills and make a significant contribution in a dynamic environment.
Quick Overview
Job Description
Forward Deployed Engineer (FDE)
Experience: 5 10+ years
Location: Remote; candidates willing to relocate to Minneapolis are preferred, USA
Interview: 3 rounds 2 Internal + 1 Client
Coding: Hands-on coding test will be part of the interview process
Visa: L2S, TN Visa (minimum 1 year validity required)
Job Overview
We are looking for a hands-on Forward Deployed Engineer to work closely with business and engineering teams at UHG. The candidate will identify business problems and build AI/GenAI solutions, automations, and integrations that deliver real business value.
This is a coding and implementation-focused role, not an advisory-only position.
Key Responsibilities
Work directly with business and engineering teams to understand problems and requirements.
Build and deploy AI/GenAI solutions, prototypes, automations, and integrations.
Develop production-ready applications using Python, JavaScript/TypeScript, Java, .NET/C#, or Go.
Work with APIs, databases, cloud platforms, enterprise systems, and third-party integrations.
Build solutions using LLMs, RAG, AI agents, prompt engineering, and AI workflow automation.
Work with structured and unstructured data.
Integrate platforms such as Salesforce, Jira, ServiceNow, Oracle, or similar tools.
Support solution deployment, adoption, documentation, and scaling.
Required Skills
5+ years of strong software/AI engineering experience.
Strong hands-on coding skills in at least one major programming language.
Strong hands-on experience with AI/GenAI and LLM technologies.
Experience with RAG, AI agents, prompt engineering, model integration, or AI automation.
Strong knowledge of APIs, databases, authentication, cloud, and deployments.
Experience with AWS, Azure, or Google Cloud.
Experience with data and analytics platforms.
Strong problem-solving and communication skills.
Candidates should be comfortable working directly with business/client teams.
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