Senior Software Engineer - Legal & Compliance (AI)

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