Expert Software Engineer I

We are forming an AI Enablement Engineering Team-focused on integrating foundational AI capabilities (such as document extraction and LLM-based chatbot services) into our core products.

This team will work closely with product domain engineering teams and foundational AI teams to deliver end-to-end product features-like claims extraction built on our document intelligence service., * Design, develop, and integrate AI-driven capabilities into scalable, production-grade healthcare platforms to improve automation, insights, and user experience.

• Build robust APIs, microservices, and integration layers that seamlessly connect AI and ML models with product workflows and enterprise systems.
• Apply strong data science skills including EDA, statistical analysis, hypothesis testing, advanced feature engineering, and model evaluation to shape and optimize ML solutions.
• Work hands-on with SLMs and LLMs, including locally hosted and cloud-deployed variants, optimizing performance, latency, and domain-specific use cases.
• Collaborate with foundational AI and platform teams to leverage reusable shared services such as extractors, conversational agents, embedding services, and retrieval pipelines.
• Use Python, SQL, Pandas, NumPy, TensorFlow, PyTorch, and Scikit-learn to build, evaluate, and deploy ML models across classification, forecasting, anomaly detection, and NLP use cases.
• Build and maintain ML pipelines for training, evaluation, deployment, monitoring, and retraining using MLOps tools and cloud-native patterns.
• Develop clean, reliable, and maintainable software leveraging Python, REST APIs, containers, and cloud-native engineering practices aligned with enterprise standards.
• Contribute to backend services using C# and ASP.NET Core to support AI workflows, platform integrations, and service orchestration.
• Collaborate effectively with Product Managers, Architects, Data Scientists, and Engineering teams to deliver end-to-end AI solutions.
• Adhere to engineering best practices across code quality, automated testing, CI/CD pipelines, observability, monitoring, and documentation.
• Participate in agile development sprints and contribute to sprint planning, reviews, retrospectives, and demos.

• 6+ years of experience in AI engineering, ML engineering, data science, or software engineering within enterprise or SaaS environments.
• Proficient in Python, SQL, Pandas, NumPy, and modern ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for data processing, feature engineering, model development, and evaluation.
• Strong experience applying ML algorithms including Random Forest, Gradient Boosting, logistic regression, anomaly detection, and advanced predictive modeling techniques.
• Hands-on experience in data science workflows including EDA, hypothesis testing, error analysis, statistical modeling, feature engineering, and model interpretation using techniques such as SHAP.
• MLOps experience with model training pipelines, experiment tracking, versioning, CI/CD for ML systems, monitoring, and deployment using Azure ML, MLflow, Docker, Kubernetes, or cloud inference endpoints.
• Experience building and operating end-to-end ML workflows from dataset creation and model training to deployment, monitoring, drift detection, and iterative improvements.
• Background in backend development using C# and ASP.NET Core for services, integrations, and API development supporting AI capabilities.
• Experience designing and consuming RESTful APIs for scalable and reliable communication across distributed and cloud-native systems.
• Familiarity with AI and ML technologies including LLMs, SLMs, embeddings, prompt engineering, retrieval pipelines, and AI service orchestration.
• Hands-on experience integrating backend services, ETL pipelines, data APIs, and enterprise data platforms to support analytics and AI solutions.
• Exposure to cloud platforms such as Azure, AWS, or GCP with working knowledge of cloud-native engineering and DevOps practices.
• Ability to explore and apply advanced AI techniques including Retrieval-Augmented Generation (RAG), Retrieval-Integrated Generation (RIG), Small Language Models (SLMs), and Model Context Protocol (MCP).

Preferred Qualifications

• Experience integrating AI services such as OpenAI, Azure OpenAI, or Hugging Face models into production systems.
• Knowledge of document extraction, conversational systems, NLP pipelines, or multimodal AI workflows.
• Experience with ML observability, model monitoring, cost optimization, and production-level inference tuning.
• Exposure to healthcare IT or healthcare data standards such as claims processing, HL7, EDI 837, EDI 835, or FHIR.
• Familiarity with feature stores, vector databases, and reusable ML components for cross-product AI enablement.
• Strong communication and collaboration skills, with the ability to work across global engineering and product teams.

• Drive meaningful innovation by integrating AI into healthcare financial solutions.
• Collaborate with talented engineers and AI experts across foundational and product teams.
• Take ownership of high-impact features that directly enhance customer experience.

Be part of a forward-thinking organization committed to AI-led transformation.

Because We Care, We Offer

• A flexible work environment
• Competitive salaries, paid vacation, and holidays
• Robust professional development programs
• Comprehensive health, wellness, and financial packages

Do you want to shape the future of fintech and healthtech? Energized by challenges and inspired by bold goals? Ready to elevate your career alongside driven and talented colleagues? If that sounds like you, explore a career at Alegeus today. Opportunity Happens Here., At Alegeus, our success is guided by our aligned vision and values-it is how we work together and collaborate to achieve our goals. * People First. We pride ourselves in bringing talented people together and treating one another with care. * Partner Powered. We are committed to empowering our partners, knowing our success is shared and we win as one. * Always Advancing. We are driven by potential and relentlessly determined to achieve our goals. _"I truly believe that people who are well-skilled and talented can go wherever they want in this company. We want to create the best place anyone has ever worked." - Alegeus employee, __At Alegeus, being transparent about our compensation philosophy and approach is more than just a legal requirement. As our organization continues to grow and evolve, we have made a commitment to ensure that our compensation framework is equitable, data-driven, consistent, and unbiased, with allowable pay differences based on factors unique to each candidate (think: skills, experience, qualifications, etc.) in order to attract and retain a highly talented and committed workforce.