AI Developer

Our client is a US-based provider of Enterprise Data Management (EDM) and Master Data Management (MDM) software for the financial services industry. Their platforms support critical data operations across capital markets, requiring high standards of data quality, governance, and regulatory compliance.The project focuses on building a governed enterprise AI platform that enables users to create intelligent agents, access organizational knowledge, and perform advanced data analysis using LLMs. The platform integrates multiple enterprise systems and emphasizes secure, auditable, and deterministic AI workflows.You will work within a cross-functional engineering team that includes AI developers, backend engineers, data engineers, and domain experts. The team collaborates closely with business stakeholders to translate complex business and data requirements into scalable AI solutions.We are looking for an AI Developer to help build and scale AI-driven solutions within a governed enterprise AI platform for the financial services industry. In this role, you will design intelligent agents, develop reusable AI components, and integrate large language models (LLMs) with enterprise systems and data platforms.PythonLLMs (OpenAI, Anthropic, AWS Bedrock)RAG and AI agent frameworksAWS cloud servicesSQL/Postgres and enterprise data platformsREST APIs and microservices architectureDocker and containerizationJira, Confluence, Git repositoriesDevelop AI agents to automate workflows and support business decision-makingBuild reusable, deterministic AI components and services that encode business logicIntegrate enterprise systems, including databases, APIs, Jira, Confluence, and knowledge basesImplement RAG-based solutions to ensure accurate, grounded, and auditable outputsEnsure compliance with governance, security, permissioning, and audit requirementsCollaborate with technical and business teams on architecture and solution designTest, optimize, and scale AI solutions for performance, reliability, and cost efficiencyContribute to the development of secure and maintainable AI workflows and integrationsStrong backend development experience with Python or similar technologiesHands-on experience with LLMs, AI agents, RAG systems, or ML-driven applicationsExperience integrating APIs, enterprise systems, and cloud platformsUnderstanding of data governance, security, lineage, and reliability principlesExperience building scalable and maintainable backend servicesGood communication skills and the ability to collaborate with cross-functional teamsExperience in financial services, enterprise data management, or data-heavy domainsKnowledge of semantic data modeling or knowledge graphsExperience with rules engines or workflow automation platformsFamiliarity with enterprise AI governance and compliance requirements