Role Description RxBenefits is hiring! We are adding a Software Engineer III to the growing application development team at our Birmingham, AL headquarters. As a level III engineer, you will be responsible for creating the next generation of software at RxBenefits to support our rapidly growing business. You will also be a thought leader across the technology organization that champions the delivery of modern software. This is an exciting opportunity for a forward-thinking professional that is able to conceptualize, deliver, and support the technology that our employees and partners need to succeed. - Design, build, and maintain AI-driven backend services, APIs, pipelines, and application features. - Design AI pipelines with secure data handling, PII/PHI protection, redaction, and access-control-aware processing. - Design and implement document ingestion pipelines (PDFs, scans, images, email attachments). - Design evaluation frameworks for extraction accuracy, retrieval relevance, and LLM output quality. - Build document classification, entity extraction, and schema mapping workflows. - Implement OCR and layout-aware extraction pipelines. - Develop confidence scoring, human-in-the-loop workflows, and validation mechanisms. - Build systems that route extracted data into downstream enterprise systems. - Build connectors and ingestion pipelines for structured and unstructured systems (e.g., Confluence, file stores, databases). - Implement chunking, indexing, and metadata enrichment strategies. - Design retrieval strategies including hybrid search (vector + keyword). - Improve relevance via ranking, filtering, and contextualization. - Implement monitoring and observability for AI systems, including model performance, retrieval quality, extraction accuracy, and drift detection. - Partner with Product, Data, and Architecture teams to translate business problems into efficient AI solutions. - Participate in the design process to build efficient, scalable and maintainable architecture. - Research, evaluate and recommend alternative solutions. - Build scalable services integrating LLMs, retrieval systems, model inference endpoints, and third-party AI providers. - Ensure solutions meet enterprise standards for reliability, security, compliance, and observability. - Collect and analyze metrics to drive implementation decisions. - Design, improve and document processes. - Review and collaborate with other engineers on their code. - Support your team through encouragement and by example. - Mentor and share knowledge within the team and across the department. - Deliver on personal and team deadlines and goals. Qualifications - Bachelor's degree in computer science, mathematics, engineering or another related field. - 6-8 years of professional experience in application development. - Comfortable working with multiple programming languages at the same time. - Strong proficiency in one more backend languages: Java, Python, Go, or Node.js – Python is strongly preferred. - Hands-on experience implementing AI features such as: - Integrating LLM APIs. - Building embeddings, vector stores, or semantic search. - Fine-tuning prompt engineering for LLM-based systems. - Implementing Retrieval Augmented Generation (RAG) patterns. - Experience consuming or integrating machine learning models in production applications. - Experience with OCR and document AI platforms (Textract, Azure Form Recognizer, Google Doc AI, Tesseract, etc.). - Understanding of structured data extraction from semi-structured documents. - Experience with schema mapping / data normalization pipelines. - Knowledge of confidence scoring, validation, and exception handling. - Familiarity with event-driven data pipelines. - Experience designing search systems or knowledge retrieval platforms. - Understanding of information retrieval concepts (ranking, recall, precision, indexing). - Knowledge of document chunking and embedding strategies. - Familiarity with access control propagation in search systems. - Experience with monitoring ML/AI systems in production. - Understanding of model drift, data drift, and prompt performance tracking. - Experience handling sensitive data in AI workflows. - Understanding of data masking, redaction, or de-identification techniques. - Solid understanding of RESTful API design, microservices, and distributed systems. - Strong foundation in data structures, algorithms, concurrency, and performance optimization. - Familiarity with relational and NoSQL databases and performance considerations. - Experience with Agile development methodologies. - Strong communications and presentation skills. - Excellent organizational skills, detail-oriented, and works well in a team environment or as an independent contributor. - Ability to work with minimal supervision within a team environment. - Ability to think strategically and execute with urgency. - Desire to innovate and discover new technologies. - Driven to continually learn and master new skills. Preferred Skills/Experience - Experience working in regulated industries (healthcare, finance, insurance). - Knowledge of governance frameworks around data privacy (HIPAA, SOC2, GDPR, etc.). - Experience evaluating model performance, prompt effectiveness, and model drift. - Experience developing AI guardrails, moderation, hallucination-prevention, or safety patterns. - Extensive experience in web development using modern frontend and backend technologies. - Strong proficiency in frontend (React, NextJS) and backend (Python) technologies. - Work with responsive design frameworks. - Deployments to Amazon Web Services. - Proficiency in AWS services: EC2, S3, Lambda, RDS, CloudFormation/Terraform, ECS/EKS, VPC, IAM, etc. - Caching and in-memory database technologies. - Asynchronous/multi-threaded programming patterns. Benefits - Remote first work environment. - Choice of a HDHP or PPO Medical plan, we pay 100% of the premium for the HDHP for you and your eligible family members. - Dental, Vision, Short- and Long-Term Disability, and Group Life Insurance that we also pay 100% of premiums (for your family too on Dental and Vision). - Additional buy-up options for Short- and Long-Term Disability and Life Insurance. - 401(k) with an employer match up to 3.5% available after 60 days. - Community Service Day to give back and support what you love in your community. - 10 company holidays including MLK Day, Juneteenth, and the day after Thanksgiving plus a floating holiday to use as you like. - Reimbursements for high-speed internet, we’ll send you a computer and monitors to help you do your best work. - Tuition Reimbursement for accredited degree programs. - Paid New Parent Leave that can be used for adoption or birth. - Pet insurance to protect your furbabies. - A robust mental health benefit and EAP service through Spring Health to support you when you need it most.

• Build and extend the eval pipeline: how we measure task completion, catch regressions, and turn production failures into fixed behaviors. • Work on context management: what the agent sees, when, and how we keep long-horizon tasks coherent without burning tokens. • Design sub-agent patterns: when to fan out, how to compose specialized agents cleanly, and how to keep the parent agent in control of the outcome. • Own document parsing: turning supplier-uploaded invoices, catalogs, and contracts into structured context the agent can reason over. • Wrap Coupa supplier APIs as agent-callable CLI tools, with clean error surfaces and sensible defaults for an agent caller. • Ship supplier-facing skills on top of the harness: the procedural instructions and tool compositions that let the agent handle specific tasks end-to-end. • Debug messy production behavior: why did the agent take that path, where did it get confused, and what tool, context, or harness change fixes it? • Partner with the senior engineer on harness architecture calls as you find gaps while working across the stack.

• Design and build the agent harness — skill loading, tool invocation, context management, the execution sandbox, compaction patterns and sub-agents. • Stand up the evaluation pipeline: how we measure skill effectiveness, catch regressions, and turn production failures into fixed behaviors. • Partner with product and engineering to ship the first 3–5 supplier-facing use cases (invoicing, catalog, strategic views) on top of the platform you build. • Define and maintain the cloud deployment and configuration for the platform. How it gets to production, how it scales, and how it stays secure. • Make architectural calls on runtime isolation, credential handling, audit logging, and tenant separation, in collaboration with DevOps specialists. • Raise the bar for the rest of the team on how to build with agentic tooling, what to automate, what to verify, and what to leave to humans.

Role Description As an AI Engineer at Valent, you will help design and build the core intelligence layer of the product. This is a hands-on engineering role for someone who likes turning messy real-world business processes into reliable software. - Extract structured information from supplier documents, specifications, certificates, declarations, questionnaires, audit evidence, and regulatory files. - Power AI-assisted workflows for document collection, evidence packet assembly, customer requests, and audit preparation. - Use retrieval, ranking, and document understanding to help users find the right evidence across fragmented sources. - Generate draft responses, summaries, checklists, and compliance artifacts that remain reviewable and auditable by humans. - Build evaluation pipelines to measure quality, reduce hallucination, and improve reliability over time. - Design AI workflows that know when to act autonomously and when to escalate to a human. - Integrate AI features into a polished enterprise product experience. Qualifications - Strong software engineering fundamentals and experience shipping production systems. - Experience with LLMs, retrieval systems, document AI, agents, or applied machine learning. - Comfortable working across the stack when needed. - Ability to write clean, maintainable code and make sound technical tradeoffs. - Care about reliability, observability, testing, and product quality. - Can reason from first principles about when AI should automate, assist, or stay out of the way. - Interest in messy operational workflows, not just clean demos. - Clear communication in writing and comfort working remotely. - Ability to overlap for part of the day with U.S. Eastern Time. - Desire to join early and help shape the technical foundation of a company. Requirements - Experience with LLM application development. - Familiarity with RAG systems and vector databases. - Knowledge of document parsing, OCR, extraction, or classification. - Experience with evaluation frameworks for AI systems. - Background in workflow automation or agentic systems. - Experience in enterprise SaaS. - Familiarity with compliance, supply chain, manufacturing, regulatory, or quality workflows. - Proficiency in React, TypeScript, Node.js, Python, Postgres, or cloud infrastructure. Benefits - Work remotely from India on a U.S.-based enterprise AI product. - Build AI into workflows where the value is operational, measurable, and immediate. - Join early enough to have meaningful influence over architecture, product, and culture. - Work on hard problems at the intersection of AI, enterprise workflow, compliance, and manufacturing. - Help define what modern compliance operations software should look like. How to apply Send your resume, LinkedIn profile, GitHub, portfolio, or anything else that shows how you think and build. We are especially interested in examples of products, systems, or AI workflows you have shipped. Please follow our LinkedIn company page so we know you are not a bot :)