Description

We are seeking a Software Engineer to serve as a foundational contributor to ournextgeneration unified AI platform, designed to powerall current and future productsacross the organization. This role is highly impactful and handson, focused ongreenfield development, deep systems integration, and buildingAI agentsthatoperateacross complex enterprise workflows.

You will play a key role in designing, building, and scaling LLMpowered agent systemsintegrated throughModel Context Protocol (MCP) interfaces, enabling intelligent automation, secure data access, and retrievalaugmented generation (RAG) capabilities across a large, missioncritical SaaS platform.

Our environment supports a debt collection workflow / ERP SaaS solution, where robustness, security, correctness, and auditability are essential. The core platform is primarilyJavabased, and the AI platform must integrate cleanly with existing systems whilesettinga strong architectural foundation for the future.

What You'll Do

Platform & Architecture

• Build components ofFinvi'sunified AI platform that serve multiple products and business functions
• Contribute to greenfield development of AI-driven systems within architectural direction set by senior engineers
• Implement LLM and MCP-based integrations for consistent context handling and tool invocation
• Partner with platform, backend, and product teams to integrate AI capabilities intoFinvi'sexisting systems

RAG & LLM Systems

• Build LLM-powered features thatoperateacross enterprise workflows, data sources, and tools
• Build and evolve Retrieval-Augmented Generation (RAG) pipelines, including embedding strategies, vector search, and indexing across many internal and external data sources
• Optimizeprompt engineering, orchestration logic, and agent memory/context strategies for accuracy and reliability
• Evaluate and integrate LLMs and AI tooling with a focus on performance, cost, and enterprise suitability

Enterprise-Grade Engineering

• Build systems that meethigh standardsof security, robustness, and reliability
• Build AI solutions that are traceable, well-logged, resilient to failure and edge cases, and safe for use in a regulated debt-collection environment
• Collaborate with security and compliance teams to ensure adherence to applicable regulations and data-handling requirements

Collaboration & Growth

• Contribute to best practices in AI engineering, testing, monitoring, and deployment
• Partner closely with product managers and stakeholders to translate business problems into AI-driven solutions
• Contribute to the AI team's roadmap and platform direction as priorities evolve

What You'll Need

• 36 years of professional software engineering experience, with a backend or platform focus
• Strong experience building production systems in Java (core language of the platform)
• Hands-on experience working with LLMs, including prompt engineering, orchestration, and evaluation
• Experience building systems that integrate with multiple data sources and search targets
• Solid understanding of distributed systems, APIs, data pipelines, and system reliability
• Strong engineering fundamentals: testing, observability, performance tuning, and secure coding
• Communicates clearly and effectively across technical and non-technical stakeholders, including platform, product, and security partners
• Demonstrates a practical, execution-oriented learning style, quickly applying new concepts to real production use cases
• Adaptsapproach based on feedback, failures, and evolving priorities whilemaintainingmomentum
• Holds a high bar for engineering quality, especially given the business-critical and regulated nature of the platform

Preferred / Nice-to-Have

• Experience designing or implementing RAG architectures or pipelines
• Experience building or integrating AI agents or autonomous/semi-autonomous systems
• Familiarity with Model Context Protocol (MCP) or similar agent/tool interface standards
• Experience with vector databases, embeddings, and large-scale search/indexing systems
• Exposure to regulated or compliance-heavy domains (FinTech, healthcare, legal, debt collection, etc.)
• Experience deploying AI systems in enterprise SaaS environments
• Hands-on experience with AWS, Azure, GCP, or OCI

What's In It For You

• You will help define the AI backbone of acompanywideplatform used by hundreds of internal users and customers
• Your work will directly influence the reliability, scalability, and innovation of allAIdrivenfeatures
• You'llhave real ownership...technical, architectural, and strategic over core systems
• This is not an experimentation role;it'sproduction,platformlevelAI engineering with real impact
• Opportunity to buildfoundational AI infrastructurefrom the ground up
• A role at the intersection of AI, platform engineering, and enterprise SaaS
• A collaborativeculture with real ownership and autonomy

Working Style

• Selfstartermentalitywith the ability toidentifyproblems, propose solutions, and move initiatives forward without waiting for direction
• Strong bias for action and execution, witha track recordof turning ambiguous ideas into shipped,productionqualitysystems
• Intellectually curiousand motivated to continuously learn—especially infastevolvingareas like LLMs, agents, and AI infrastructure
• Ownershipdriven, taking responsibility not just for code, but for outcomes, reliability, andlongtermmaintainability
• Comfortable operating in ambiguity,able to make progress when requirements, tooling, or patterns are still forming
• Delivers incrementally,balancing speed with quality while keeping stakeholders aligned
• Proactive problem solverwhoidentifiesrisks, gaps, and edge cases before they become blockers
• Strong communicator,capable of explaining complex technical concepts to both technical andnontechnicalpartners
• Collaborative by default,working effectively across platform, product, and security teams
• Executionfocusedlearner, quickly translating new concepts into practical,productionreadysolutions
• Resilient and adaptable,adjusting approach based on feedback, failures, and evolving constraints
• High standardsfor quality, reliability, and correctness, especially inbusinesscriticaland regulated environments

The base salary range for this role islisted above. Total compensation ultimately depends on the candidate's primary work location, job responsibilities, role requirements, relevant experience and skillset.

Beyond traditional insurance offerings (that all start on day one), Finvi offers a wide variety of additional benefits like flexible time off, employer 401k match with no wait period, paid time off to volunteer, paid parental leave, and more. Learn more about all our benefit offerings onour website.

Why Finvi

Finvi is a fast-paced, challenging, and technology-transforming company. Our culture fosters an environment where you can think creatively, push yourself to new possibilities, and challenge each other to accomplish personal and professional goals. We believe that every moment, idea, and voice count. By bringing together different ideas and perspectives, we can innovate and step forward.

Our values embody who we are:have grit, own your impact, row together, embrace differences, and act transparently.

Finvi's Equal Opportunity Statement including Veterans and Individuals with Disabilities

It is the policy of Finvi to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. This policy relates to all phases of employment, including, but not limited to, recruitment or recruitment advertising, hiring, placement, promotion, transfer, demotion, layoff, recall, reduction of workforce and termination, rates of pay or other forms of compensation, selection for training, including apprenticeship, the use of all facilities, and participation in all company-sponsored employee activities. Provisions in applicable laws providing for bona fide occupational qualifications, business necessity or age limitations will be adhered to by the company where appropriate. For more information, read Finvi's full Equal Opportunity Statementhere.

Work Authorization

Visa sponsorship or transfer of an existing visa is not available for this position. Eligible candidates must be authorized to work directly for any employer in the United States without visa sponsorship or transfer.

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