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Software Engineer - AI

Job in Hartford, Hartford County, Connecticut, 06112, USA
Listing for: The Hartford
Full Time position
Listed on 2026-07-14
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 127600 - 191400 USD Yearly USD 127600.00 191400.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer - AI

Position Overview

Senior Staff Software Engineer - IE07HE
. We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Key Responsibilities
  • Develop algorithms that enable AI agents to perform tasks without step-by-step instructions.
  • Design and implement agentic AI systems capable of autonomous decision-making, learning from experience, and adapting to dynamic goals and contexts.
  • Design and develop multi-agent frameworks using tools such as Lang Graph, Crew AI, or Semantic Kernel to orchestrate intelligent workflows.
  • Design and develop machine learning techniques that allow agents to learn from experience and adapt over time.
  • Translate business requirements into agentic AI solutions.
  • Collaborate with data scientists, software engineers, business stakeholders, and product teams to integrate AI solutions into production systems.
  • Conduct context and prompt engineering using zero-shot, few-shot, and chain-of-thought techniques to enhance model performance and relevance.
  • Optimize agents based on different models for performance, scalability, and accuracy.
  • Ensure ethical AI practices and compliance with data privacy regulations.
  • Document processes, models, and code for transparency and reproducibility.
  • Conduct research and stay up to date with the latest advancements in AI/ML technologies.
AI-Driven Testing & Innovation
  • Evaluate, implement, and scale AI-powered testing tools (e.g., self-healing automation, test generation, predictive defect analytics).
  • Leverage machine learning and generative AI to improve test case generation, test data creation, defect prediction and triaging, and root cause analysis.
  • Drive adoption of intelligent test automation frameworks and autonomous testing strategies.
Collaboration & Stakeholder Management
  • Partner with Product Managers, Architects, and Engineering leaders to embed quality early in design.
  • Partner with Product Managers, Architects, Engineering leaders, and RTEs to communicate status, risks, and improvements to leadership.
  • Influence enterprise adoption of modern Engineering practices across multiple teams and programs.
Required Skills & Experience
  • Proficiency in programming languages such as Python, Java, or C++.
  • UI/End to End Test Automation with Playwright.
  • Performance Load testing.
  • Strong foundation in AI/ML algorithms, data structures, and software & quality engineering principles.
  • Understanding of cloud platforms (e.g., AWS, Azure, GCP) for deploying AI solutions.
  • Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker for CI/CD).
  • Solid knowledge of data structures, algorithms, and software engineering principles.
  • Experience with agent orchestration, LLMOps, model lifecycle management, vector search, information retrieval, graph algorithms, and knowledge graph.
  • Experience with version control systems (e.g., Git).
  • Familiarity with agent orchestration platforms and enterprise integration.
  • Strong problem-solving skills and ability to work independently and collaboratively.
Preferred Skills & Experience
  • Experience with natural language processing (NLP), computer vision, or reinforcement learning.
  • Knowledge of generative AI and foundation models (e.g., Gemini, Claude).
  • Experience with real-time inference systems and edge AI.
  • Background in mathematics, statistics, or computational neuroscience.
  • Understanding of LLM (Large Language Model) and LRM (Large Reasoning Model).
  • Understanding of AI ethics, bias mitigation, and explainable AI.
Compensation

The listed annualized base pay range is $127,600 - $191,400. Actual base pay could vary based on performance, proficiency, and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Additional rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition.

Equal Opportunity Employer

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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