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AI Engineer (Agentic Customer Flow)

Exclusive opportunity

Onsite

AI Engineer (Agentic Customer Flow)

Next Insurance

AI Engineer (Agentic Customer Flow)

Skills

Data EngineeringPythonGolangJavaMicroservicesMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

$127,000 – $220,000 / year

Location:

Boston, MA, USA

Work mode:

Onsite

Published on:

19 August 2026

What they need


  • We are seeking an AI Engineer with strong backend skills to design, build and scale AI driven capabilities
  • The role focuses on building robust AI systems, developing the surrounding LLM harness and quality frameworks, leveraging advanced GenAI techniques, and implementing production monitoring for end-to-end delivery in a fast-paced environment. This opportunity is heavily focused on backend and GenAI work
  • 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
  • Building and owning AI features end to end
  • Evaluating/monitoring AI systems in pre-release/production environments
  • Building reliable AI systems and writing production code
  • Experience building or maintaining backend services or microservices
  • Diagnose complex issues across data pipelines, model serving and backend components. This role focuses on building active APIs, microservices, and real-time serving infrastructure. It is not a Data Engineering role focused on ETL or batch processing pipelines
  • Collaborate with product and cross functional teams to refine requirements and translate them into clear technical plans
  • Contribute to system design, architecture reviews and code quality improvements
  • Support innovation and continuous improvement by identifying opportunities and driving technical initiatives- Strong communication and collaboration skills
  • 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
  • Don’t meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways

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