Remote AI Software Engineer: Build & Debug LLM Systems

Ascensus

Hartford (CT)

On-site

USD 65,000 - 150,000

Full time

4 days ago
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Job summary

Ascensus is seeking multiple engineers for its AI Technology team to tackle enterprise AI challenges, troubleshoot AI behavior, and improve platform performance across LLMs and backend systems. You’ll engage hands-on to shape how AI is built, used, and experienced within the organization.

Candidates participate in a video screening and coding assessment as part of the hiring process. This role emphasizes collaboration with engineering, product, and AI teams and may involve cross-functional

Qualifications

  • Up to 3 years’ experience in a software engineering or related role.
  • Bachelor’s degree in CS, CIS, BIS, or related field.
  • Strong debugging and root-cause analysis skills.

Responsibilities

  • Investigate and resolve issues reported by users of Agent Assist.
  • Reproduce issues and trace failures across LLM prompts, agent workflows, and backend integrations.
  • Analyze logs and telemetry with Langfuse and New Relic.
  • Document findings and coordinate with engineering via Azure DevOps.
  • Train internal users, run demos, onboarding sessions.
  • Partner with engineering, product, and AI teams to translate issues into actionable tickets.

Skills

AI/LLM experience
Troubleshooting
Communication skills
Team collaboration
Video interview readiness

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure DevOps
Langfuse
New Relic
Cursor
Salesforce

Job description

Ascensus is seeking multiple engineers for its AI Technology team to tackle enterprise AI challenges, troubleshoot AI behavior, and improve platform performance across LLMs and backend systems. You’ll engage hands-on to shape how AI is built, used, and experienced within the organization.

Candidates participate in a video screening and coding assessment as part of the hiring process. This role emphasizes collaboration with engineering, product, and AI teams and may involve cross-functional

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