Legal Technology Engineer Jobs

1 job found

1mo ago

Senior Software Engineer - Legal & Compliance (AI)

The Travelers Companies, Inc. Hartford, CT

Hartford, CT

1mo ago Closed

$139k - $230k/yr Full time Backend Developer Ai Workflows API

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

On site in Hartford, CT, this Senior Software Engineer role centers on GenAI solutions for Legal and Compliance within Travelers Corporate Technology. You will design, build, and deliver AI powered solutions while guiding technical direction across the team. The position offers a salary range of USD 139,400 to 230,000 per year and a benefits package that supports health, retirement, wellness, and community involvement.

Benefits

Health Insurance
Retirement
Paid Time Off
Wellness Program
Volunteer Encouragement

Responsibilities

Familiarity with AI use cases common to Legal and Compliance environments including contract analysis, eDiscovery, legal hold automation, regulatory research, and policy Q&A
Advances and aligns the teams to enterprise standards and practices (AWS tag compliance, Semantic Versioning, API Governance compliance, Source code management, TDD, Code quality checks, Dependency management, Security and secrets management, Site reliability engineering)
Implements and expands test automation providing direction and input into overall quality needs
Demonstrates asset ownership and leadership of operational excellence
Leads stakeholder conversations with partnership and understanding of business problems
Communicates effectively and concisely with all team members and describes technology concepts in ways the business can understand their value
Identifies learning opportunities and needs in connection with strategic imperatives for team members
Takes the lead on directing and implementing solutions to moderately complex, loosely scoped problems that are aligned with team goals
Delivers efforts both independently and by leading other team members
Leads investigation and resolution efforts for critical, high impact problems, defects, and incidents
Acts as a technology advocate, independently seeking opportunities where technology can be utilized to improve the business
Provides technical guidance and mentorship while fostering a team environment
Applies knowledge of current industry trends and techniques to formulate solutions within the context of assigned efforts
Seeks opportunities to expand technical knowledge and capabilities
Performs other duties as assigned

Requirements

Hands-on experience building and deploying AI solutions end-to-end, including model integration, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, and LLM orchestration frameworks (LangChain, LlamaIndex, or similar)
Proficiency with AWS services commonly used in AI workloads — Bedrock, SageMaker, Lambda, S3, Step Functions, and API Gateway — to build scalable, event-driven AI solutions
Proficiency with AI model APIs and SDKs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock) and experience evaluating, fine-tuning, or adapting foundation models for domain-specific use cases
Experience designing and implementing AI agent workflows, including tool use, memory management, and multi-step reasoning patterns
Ability to instrument AI systems with observability tooling to track model performance, drift, token costs, latency, and output quality in production
Familiarity with prompt versioning, evaluation frameworks, and A/B testing strategies specific to generative AI systems
Experience integrating AI capabilities into existing enterprise platforms and workflows (document management systems, case management tools, workflow automation) via APIs and microservices
Deep understanding of data privacy and security controls specific to AI systems, including PII detection and masking, input/output filtering, and access-controlled knowledge bases
Awareness of emerging AI governance frameworks and enterprise AI policy requirements, with the ability to build guardrails and audit trails into AI solutions from the ground up
Proven record of collaborating on technical solutions with engineers at varying levels of knowledge
Interest in sharing knowledge to build engineering talent and strength within a team
Understanding and interest in applying engineering and industry best practices to technical solutions
Domain expertise with the ability to develop business partnerships and influence priorities by aligning with current objectives and industry trends
Problem solving skills that rely on data and proofs of concepts to create creative, measurable improvements
Strong communication skills to describe technology concepts to business stakeholders and document initiatives clearly
Advanced leadership skills with the ability to take action and influence team members

Technologies

LangChain
LlamaIndex
AWS Bedrock
SageMaker
Lambda
S3
Step Functions
API Gateway
OpenAI
Anthropic
Azure OpenAI
RAG architectures

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