Hybrid AI Backend Engineer – GenAI & ML Ops

ERGO NEXT Insurance; Waltham (MA); Hybrid; USD 127,000 - 220,000; Full time

Benefits offered by this job

Hybrid work schedule (3 days in-office

Performance-based incentive

Medical, vision & dental

Life insurance and 401(k)

Paid time off & parental leave

Job summary

ERGO NEXT Insurance in Waltham, MA is seeking an AI Engineer with strong backend skills to design, build and scale AI-driven capabilities. The role emphasizes building robust AI systems, GenAI, and production monitoring in a fast-paced environment.

Hybrid work requires three on-site days weekly. The candidate should have 4+ years of backend experience (Python/Go/Java) and proven ML/LLM production integration experience, along with cloud and microservices expertise.

Qualifications

• 4+ years of backend engineering experience in Python, Go, Java or similar.
• Familiarity with evaluating model performance using metrics.
• Proven experience building high performance or distributed systems.
• 4+ years of hands on experience integrating ML or LLM models into production.
• Strong understanding of cloud infrastructure, microservices and observability.
• Ability to operate effectively under ambiguity and navigate dynamic environments.
• Strong communication and collaboration skills.
• Hybrid Work Model: minimum of three days on-site per week.

Responsibilities

• Design, implement and optimize backend services that support AI workflows.
• Integrate ML and LLM models into production systems with focus on performance, reliability and scalability.
• Build and own AI features end to end.
• Evaluate/monitor AI systems in pre-release/production environments.
• Build reliable AI systems and write production code.
• Diagnose issues across data pipelines, model serving and backend components.

Skills

Backend engineering

Languages: Python/Go/Java

ML/LLM production

Distributed systems

Cloud & microservices

Observability

Communication

Hybrid work policy

Job description

ERGO NEXT Insurance in Waltham, MA is seeking an AI Engineer with strong backend skills to design, build and scale AI-driven capabilities. The role emphasizes building robust AI systems, GenAI, and production monitoring in a fast-paced environment.

Hybrid work requires three on-site days weekly. The candidate should have 4+ years of backend experience (Python/Go/Java) and proven ML/LLM production integration experience, along with cloud and microservices expertise.