Legal Compliance Developer 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

The Travelers Companies, Inc. is seeking a Senior Software Engineer to lead GenAI initiatives for Legal & Compliance within Corporate Technology. This onsite role in Hartford, CT centers on designing, building, and delivering AI-powered solutions while providing technical guidance to the team. The position emphasizes applying AI to legal workflows and aligning engineering work with enterprise standards to drive measurable business impact.

Position details

Location: Hartford, CT (onsite)
Salary: USD 139,400 - 230,000 per year
Experience: Minimum 3 years
Education: Bachelor's degree in Computer Science or related field

Responsibilities

Work with AI use cases common to Legal & Compliance, including contract analysis, eDiscovery, legal hold automation, regulatory research, and policy Q&A
Advise and align teams with enterprise standards and best practices across tagging, semantic versioning, API governance, source control, test-driven development, code quality checks, dependency management, security and secrets handling, and site reliability engineering
Lead the development of test automation and shape overall quality expectations
Demonstrate ownership of assets and drive operational excellence
Lead stakeholder conversations, uncovering business problems and shaping solutions in partnership with business teams
Communicate complex technical concepts in clear terms that highlight business value
Identify learning opportunities and growth avenues aligned with strategic priorities for team members
Direct and implement solutions to moderately complex, loosely scoped problems aligned with team goals
Deliver work independently and by guiding other engineers
Lead investigation and resolution efforts for critical incidents and high-impact defects
Champion technology adoption and seek opportunities to improve the business through technology
Provide technical guidance and mentorship while fostering a collaborative team environment
Apply current industry trends to shape solutions within assigned efforts
Seek opportunities to expand technical knowledge and capabilities
Perform additional duties as needed

Requirements

Hands-on experience building and deploying AI solutions end-to-end, including model integration, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, and orchestration frameworks (such as LangChain, LlamaIndex, or similar)
Proficiency with AWS AI workloads, including Bedrock, SageMaker, Lambda, S3, Step Functions, and API Gateway
Experience with AI model APIs and SDKs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock) and adapting foundation models for domain-specific use cases
Expertise in designing AI agent workflows, including tool usage, memory management, and multi-step reasoning
Ability to instrument AI systems with observability tooling to monitor performance, drift, costs, latency, and output quality in production
Familiarity with prompt versioning, evaluation frameworks, and A/B testing for generative AI systems
Experience integrating AI capabilities into existing enterprise platforms and workflows via APIs and microservices
Solid understanding of data privacy and security controls for AI, including PII detection and masking, input/output filtering, and access-controlled knowledge bases
Awareness of evolving AI governance frameworks and enterprise policies, with the ability to implement guardrails and audit trails
Proven ability to collaborate with engineers of varying levels of expertise and share knowledge to strengthen the team
Interest in applying engineering best practices and staying current with industry trends relevant to the domain
_domain expertise that supports building partnerships and aligning solutions with business objectives
Strong problem-solving skills, data-driven decision making, and the ability to weigh multiple factors with broad implications
Effective communication, concise documentation, teamwork across roles, and active listening
Advanced leadership capabilities, including taking initiative and influencing teammates even without a formal owner

Technologies

LangChain, LlamaIndex
AWS Bedrock, SageMaker, Lambda, S3, Step Functions, API Gateway
OpenAI, Anthropic, Azure OpenAI
RAG (Retrieval-Augmented Generation) architectures

Benefits

Health Insurance
Retirement
Paid Time Off
Wellness Program
Volunteer Encouragement

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