Staff Software Engineer, AI

The Hartford

Quick summary

Work type: On-site
Location: Hartford, CTCharlotte, NC
Salary: $127,600–$191,400 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k

This role $160k

$115k most similar roles pay here $248k

This role pays less than 80% of similar roles. Most pay $163,987–$223,000 — the shaded band above. At the midpoint, this role pays about $160k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About The Hartford

The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services

The Hartford currently has 53 open roles on FindRole.

Listed pay typically runs $128,400–$191,400 across 53 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Staff Software Engineer, AI

Role Posting Log in to save

As a Senior Staff Software Engineer in our innovative team, you will lead the development of advanced agentic AI systems and scalable data platforms that drive intelligent decision-making across the enterprise. Your daily tasks include designing autonomous AI agents capable of learning from experience and adapting to dynamic contexts, implementing multi-agent frameworks using tools like LangGraph and Crew AI, and translating complex business requirements into cutting-edge AI solutions. You will work closely with data scientists, software engineers, and product teams to integrate these solutions into production systems while ensuring ethical practices and compliance with regulations. The role requires expertise in Python, Java, or C++, proficiency in MLOps tools like MLflow and Kubeflow, and a solid understanding of cloud platforms such as AWS, Azure, and GCP. Additionally, you will contribute to AI-driven testing innovations by evaluating and scaling intelligent test automation frameworks, enhancing the efficiency and reliability of our systems.

Skills

Python Java C++ Playwright MLOps MLflow Kubeflow Docker AWS Azure GCP Git LLMOps natural language processing computer vision reinforcement learning generative AI foundation models real-time inference systems edge AI AI ethics bias mitigation explainable AI

What you'll do

Develop algorithms enabling AI agents to perform tasks autonomously.
Design agentic AI systems for autonomous decision-making and learning.
Create multi-agent frameworks using LangGraph, Crew AI, or Semantic Kernel.
Implement machine learning techniques for agent adaptation over time.
Translate business requirements into scalable agentic AI solutions.

What we're looking for

Deep expertise in AI/ML algorithms and software engineering principles.
Proficiency in Python or equivalent programming languages for AI development.
Experience with cloud platforms (AWS, Azure, GCP) for deploying AI solutions.
Familiarity with MLOps tools like MLflow, Kubeflow, and Docker for CI/CD.
Strong background in data structures, algorithms, and software engineering practices.
Knowledge of agent orchestration, LLMOps, vector search, and information retrieval.
Experience with version control systems (Git) and collaboration across multiple teams.

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