Software Engineering Lead

hackajob is collaborating with Lexis Nexis to connect them with exceptional professionals for this role.

Would you enjoy working on our cutting-edge products?

Are you ready for a lead Engineer role?

Lexis Nexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

Lexis Nexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles ().

Software Engineering Lead serves as a subject matter expert for a specific team of Software Engineers. In addition to writing code on complex systems and applications, this position provides direction on project plans, schedules, and methodologies. The position has direct reports.

This is a full-time position based in Raleigh, NC. (Hybrid - 3 days in office)

• 7+ years of Software Engineering experience
• 2+ years of experience building or integrating AI/ML-driven applications (e.g., LLM-based systems, search/recommendation systems, or intelligent automation tools).
• BS Engineering/Computer Science or equivalent experience required

• Advanced knowledge of software development methodologies (e.g., Agile, Waterfall).
• Experience developing AI-enabled applications, including LLM integrations, prompt engineering, and orchestration frameworks (e.g., Google ADK, OpenAI SDK, Anthropic SDK, Lang Chain, or similar).
• Strong experience with various resource models such as Managed Services and/or Staff Augmentation.
• Strong knowledge in industry best practices in external resource development.
• Ability to partner and lead internal and external technology resources in solving complex business needs.
• Test-driven development.
• Strong research skills.
• Strong proficiency with data manipulation language including optimization techniques.
• Strong understanding of normalized/dimensional data modeling principles.
• Ability to design and work with complex data models.
• Experience with vector databases and semantic search technologies (e.g., Solr, Qdrant, Elasticsearch, or similar).
• Strong knowledge of multiple data storage subsystems.
• Familiarity with RAG architectures, including document ingestion, embedding pipelines, and retrieval optimization.
• Expertise in development languages including but not limited to:
  Python, JavaScript, Type Script, C/C++, HTML, XML, SQL.
• Experience working with Python for AI/ML workflows is strongly preferred.
• Strong knowledge in industry best practices in development.
• Ability to partner and lead internal and external technology resources in solving complex business needs.
• Knowledge in using and developing applicable tool sets.
• Ability to write and review portions of detailed specifications for the development of complex system components.
• Experience designing and implementing agent-based systems, including tool usage, multi-step reasoning workflows, and API orchestration.
• Strong skills in setting, communicating, implementing, and achieving business objectives and goals through the direct management of others.
• Strong organization/project planning, time management, and change management skills across multiple functional groups and departments, and strong delegation skills involving prioritizing and reprioritizing projects and managing projects of various size and complexity.
• Strong problem-solving experience involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues; prior success extracting/translating findings into alternatives/solutions; and identifying risks/impacts and schedule adjustments to facilitate management decision-making.
• Ability to evaluate AI system performance, including hallucination mitigation, evaluation frameworks, and monitoring of model outputs.
• Strong communication (verbal and written) and customer service skills. Strong interpersonal, communication, and presentation skills applicable to a wide audience including senior and executive management, customers, etc., including diction/terminology and presenting…