GenAI Production Software Engineer II

Archer; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

Archer, in collaboration with Verisk, is seeking an experienced software engineer to build GenAI systems end-to-end. You will work from experimentation to production deployment, focusing on reliability, observability, and iteration with senior engineers and product leadership.

Responsibilities include building production-grade GenAI features, implementing RAG and prompt engineering, writing clean Python, and developing monitoring pipelines to ensure grounded and trustworthy outputs.

Qualifications

• 3+ years in software engineering, data science, or ML.
• 1+ years building GenAI/LLM features in production.
• Strong Python and AI/ML frameworks and tooling.
• Understanding of LLMs, embeddings, RAG, prompt engineering, context engineering.
• Experience with cloud-native architectures and deploying scalable apps.
• Knowledge of GenAI evaluation, testing, monitoring, and responsible AI.
• Autonomy, problem solving, and clear communication.
• Bachelor's degree in CS/SE/ML or related field.

Responsibilities

• Build features and components for production-grade GenAI products with quality and performance.
• Implement and iterate on LLM-based solutions, including RAG, prompt engineering, context engineering, and agentic workflows.
• Write clean, well-tested Python code and contribute to the broader codebase and infra.
• Help build evaluation and monitoring pipelines to measure GenAI output quality and reliability.
• Work with foundation models and GenAI tooling, evaluating tradeoffs under guidance.
• Collaborate with Product Owners to translate requirements into technical solutions.
• Participate in code reviews, design discussions, and engineering best practices.
• Debug and resolve issues across the stack, escalating to senior engineers as needed.
• (SDE II) Own medium-complexity features end-to-end and mentor SDE I engineers.

Skills

Python

GenAI

LLMs

RAG

Cloud-native

Code reviews

Education

Bachelor's degree in CS/SE/ML

Tools

PyTorch

LangChain

Kubernetes

Docker

Job description

Archer, in collaboration with Verisk, is seeking an experienced software engineer to build GenAI systems end-to-end. You will work from experimentation to production deployment, focusing on reliability, observability, and iteration with senior engineers and product leadership.

Responsibilities include building production-grade GenAI features, implementing RAG and prompt engineering, writing clean Python, and developing monitoring pipelines to ensure grounded and trustworthy outputs.