• Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. • This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. • Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. • Experienced in multiple LLM fine tuning techniques. • Experienced in building GEN AI solutions using RAG architecture. • Skilled in both Lang Chain and Lang Graph. • Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. • Experienced in multiple Vector Databases as well as Graph Database. • Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. • End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. • Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. • System Integration – Skilled in API development and integrations. Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration. • Experienced in ML Ops and LLM Ops. • Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. • Experienced in applying security measures in GEN AI solutions, implementing guard rails. • Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. • AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness. • Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. • Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. • Front End Development – Stream lit is a must. Good to have React, Angular or Vue.js. • Leadership Skills – Should be able to work as a team lead, interface with team leads of other functions/departments, understand business requirements and translate the same to an appropriate solution that is feasible to develop and deploy.

• Own end-to-end execution of internal platform initiatives across the Trase operating system, translating ambiguous work across infrastructure, runtime systems, and AI/ML workflows into clear, actionable plans while ensuring alignment across Engineering, DevOps/SRE, DevEx, and Product. • Identify and manage cross-team dependencies across services, cloud infrastructure, and AI pipelines, sequencing work to minimize blocking dependencies, reduce integration risk, and avoid rework. • Establish and maintain a lightweight operating rhythm that drives execution, including milestone tracking, execution reviews, and release readiness checkpoints, ensuring teams have clear priorities, defined success criteria, and visibility into risks. • Partner with DevOps and SRE to ensure releases are safe, validated, and traceable, and that platform and AI/ML changes are observable, auditable, and ready for production environments; drive go/no-go decisions based on system readiness and risk. • Proactively identify and manage system-level risks across infrastructure, deployment systems, AI/ML pipelines, and runtime behavior, ensuring mitigation strategies are in place before issues impact delivery. • Define and track key execution and reliability signals, including delivery predictability, release success rates, dependency resolution, and system health, acting as the source of truth for execution status and risk. • Continuously improve engineering execution by identifying inefficiencies in CI/CD workflows, testing and integration systems, and AI workflow evaluation, partnering with DevEx and DevOps to increase developer velocity, release safety, and overall system reliability.

Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role We're looking for someone at the beginning of their automation journey — technically grounded, genuinely curious about AI, and ready to build real things from day one. This is an operational and hands-on role. You'll sit within the IT & Security function, working directly under our senior IT & AI Automation Engineer, and your job is to keep the engine running while learning how to make it faster. That means handling automation scripts, supporting internal AI tooling, and gradually taking on more complex delivery work as you grow. We're not looking for someone who has done everything yet — we're looking for someone who picks things up fast, takes ownership seriously, and is already experimenting with AI tools in their personal or professional life. A Note on How We Work We're an AI-native team. We use Claude, Cursor, and whatever else gets the job done. We don't expect you to have years of experience with every tool — but we do expect you to be the kind of person who tries things, ships things, and figures it out. If you're already using AI tools to accelerate your work, you'll fit in immediately. Key Responsibilities AI Tooling & Prompt-Driven Workflows - Use LLM-based tools (Claude, ChatGPT, Cursor) as active working instruments — not just occasionally, but as a core part of how you get things done - Build and maintain prompt-driven workflows that reduce manual effort for internal teams - Assist in testing, iterating, and documenting agentic systems built by the senior engineer - Identify repetitive tasks across the organisation and propose automation-first solutions Automation & Scripting - Write and maintain lightweight automation scripts in Python and/or JavaScript — automating routine ops tasks, data flows, and SaaS integrations - Work with tools like Make, n8n, or Zapier to build and maintain workflow automations - Support the integration of internal tools via APIs and webhooks under the guidance of the senior engineer - Keep automations documented, reliable, and easy for others to understand IT Operations Support - Handle day-to-day operational tasks across our SaaS stack — access provisioning, offboarding, troubleshooting, and routine administration - Apply basic security hygiene: access reviews, audit log checks, RBAC hygiene - Respond to internal IT requests and escalate where appropriate - Support incident handling and contribute to process documentation What We're Looking For Must have - 2–3 years of experience in an IT, operations, or technical support role — enough to work independently on routine tasks - Working knowledge of Python and/or JavaScript — you can read, modify, and write scripts without needing hand-holding on syntax - Hands-on experience with at least one automation platform (Make, n8n, Zapier, or similar) - Active use of AI tools in your day-to-day work — personal projects, side builds, or prompt experiments all count - High ownership mindset: you manage your tasks, flag blockers early, and don't wait to be chased - Strong written English — async communication is how we work - Comfortable in remote, international environments with minimal supervision - Available to overlap with US business hours (EST/PST) for key meetings Nice to have - Any experience with Claude, the Anthropic API, or MCP integrations - Familiarity with Google Workspace and/or Notion administration - Exposure to SSO, RBAC, or SOC 2 concepts - Prior experience in a startup or fast-moving tech environment - Personal automation or AI projects you can point to — GitHub repos, side tools, anything you've shipped Why Join Us - A structured growth path: you'll be working directly under a senior engineer who will invest in your development - Real ownership from day one — you're not a ticket-closer, you're a builder - Work at the intersection of AI and internal tooling — your work gets used by your teammates every day - High autonomy, no bureaucracy, technically strong international team - 20 working days of PTO per year - US holidays and additional days off

Helping our clients achieve their goals starts with attracting and obtaining top talent. We look for highly innovative and bright individuals; give them the tools they need, then give them the freedom to do what they do best. We empower our employees to make the best of their opportunities in a rewarding and challenging environment. We have a passion for excellence. Our employees thrive on making a difference and generating results for our clients in a flexible environment that offers support and camaraderie. No matter where you are located, DPRA offers learning opportunities and a flexible work style to help our staff manage responsibilities and add balance to their lives. Along with a flexible workplace, DPRA offers a Total Rewards program that provides its employees with not only a competitive salary, but also covers a wide variety of benefits and programs! If you are looking for a challenging position in an innovative company, then this is the position for you. Currently, DPRA is searching for an Senior Information Solution Architect. This remote full-time position will provide top-level technical expertise, including performing in-depth and complex AI/ML software systems programming, configuration and analysis. The successful candidate will build, deploy and maintain machine learning systems in production. The information solution architect works with a team of Analysts, Subject Matter Experts and Data Scientist to determine application and data requirements and recommend system solutions. Essential Job Duties and Functions: - Takes AI/ML models from Data Scientist and rewrite/optimizes them for scale. - Builds training/deployment pipelines, APIs, monitoring artifacts. - Helps ensure systems/containers/code are compatible and in compliance with CMMC standards for open systems and DoD architecture. - Identifies, assesses, and presents options for meeting the functional and technical requirements including software updates or upgrades. - Interacts with project management to plan project schedules, level of effort, and technical direction. - Develops AI/ML implementation design documents and technology white papers. - Maintains and recommends software quality coding standards and ensures such standards are adhered to. - Develops high level system design diagrams for program design, coding, testing, debugging and documentation. - Performs QA software product reviews. Basic Qualifications: - Strong software engineering skills using Python, C++, and Java. - Experience using Machine Learning (ML) frameworks (TensorFlow, PyTorch, JAX). - Strong Experience with ML Ops tools (MLflow, Kubeflow, SageMaker, Vertex AI). - Experience with Containerization & Orchestration (Docker, Kubernetes). - Experience in Cloud deployment (AWS/GCP/Azure). - Experience with monitoring & observability for ML systems. - Receiving ML models (often prototypes from Data Scientists) and making them production ready. - Designing end-to-end ML pipelines: training, evaluation, deployment, monitoring, retraining. - Optimizing models for latency, throughput, and cost (quantization, distillation, distributed training). - Implementing ML Ops: CI/CD for ML, model registries, versioning, reproducibility. - Collaborating with Data Engineers to ensure pipeline compatibility, and with Systems Engineers to ensure deployment runs smoothly on cloud infrastructures. - Monitoring model drift, data drift, and setting up automated model retraining triggers. - Writing scalable APIs/microservices to expose models. - Ensuring compliance, security, reliability, and performance in real-world use. - Ability to perform senior level tracking, testing, validation and verification of complex software applications. - Contributing to all activities and steps that form the software development process with an emphasis on design, implementation, testing and deployment. - Strong problem-solving skills and ability to resolve technical issues independently when needed. - Knowledge of Continuous Integration using Jenkins, Maven, GIT. Ability to deploy updates and fixes. - Ability to work directly with the functional subject matter experts and the customer in the design of software and clarification of requirements. - Ability to engineer secure code, as defined by DoD guidance. - Bachelor’s degree in computer science, mathematics or another techically related field. - Minimum of 7 years’ experience performing the functions on commercial or DoD programs/projects. - Must be a U.S. Citizen with and Active DoD security clearance (preferred), or the ability to obtain and maintain a DoD security clearance. Preferred Qualifications: Experience with the following is a plus: - Interactive Geospatial (Maps) design and implementation - CSS processors such as sass and less - Static-typed superscripts of JavaScript such as TypeScript of Flow - Node.js, Angular, AngularJS - Building systems such as wepack, rollup, grunt and gulp - Using Jira for Agile Development Management Other relevant Technical and Agile certifications (i.e. Certified Scrum Mater, Microsoft (MCSD, MCSE) Certifications, SaFE Certifications, etc.) Some Knowledge of Amazon Web Services (AWS) DPRA is an EOE – Females/Minorities/Protected Veterans/Individuals