Expert Software Engineer I
Alegeus Technologies LLC9 months ago
Bengaluru, IndiaEntry Level
Responsibilities
- Design, develop, and integrate AI-driven capabilities into scalable healthcare platforms.
- Build APIs, microservices, integration layers, and backend services connecting AI and ML models with product workflows.
- Perform exploratory data analysis, statistical analysis, hypothesis testing, feature engineering, model evaluation, and model interpretation.
- Develop, evaluate, deploy, monitor, and retrain ML models for classification, forecasting, anomaly detection, and NLP use cases.
- Work with locally hosted and cloud-deployed LLMs and SLMs to optimize performance, latency, and domain-specific applications.
- Integrate shared services including document extractors, conversational agents, embedding services, and retrieval pipelines.
- Build and maintain end-to-end ML pipelines using MLOps tools and cloud-native patterns.
- Contribute to C# and ASP.NET Core backend services supporting AI workflows, integrations, and service orchestration.
- Design and consume RESTful APIs and integrate backend services, ETL pipelines, data APIs, and enterprise data platforms.
- Apply engineering practices involving automated testing, CI/CD, observability, monitoring, documentation, and agile delivery.
Requirements
- Require 6+ years of experience in AI engineering, ML engineering, data science, or software engineering in enterprise or SaaS environments.
- Require proficiency in Python, SQL, Pandas, NumPy, TensorFlow, PyTorch, and Scikit-learn.
- Require experience with ML algorithms including Random Forest, Gradient Boosting, logistic regression, anomaly detection, and predictive modeling.
- Require experience with EDA, hypothesis testing, error analysis, statistical modeling, feature engineering, model interpretation, and SHAP.
- Require MLOps experience covering training pipelines, experiment tracking, versioning, CI/CD, monitoring, deployment, and model lifecycle management.
- Require experience with Azure ML, MLflow, Docker, Kubernetes, or cloud inference endpoints.
- Require backend development experience with C#, ASP.NET Core, RESTful APIs, distributed systems, and cloud-native architectures.
- Require familiarity with LLMs, SLMs, embeddings, prompt engineering, retrieval pipelines, RAG, RIG, and MCP.
- Require exposure to Azure, AWS, or GCP and cloud-native engineering and DevOps practices.
- Prefer experience integrating OpenAI, Azure OpenAI, or Hugging Face models into production systems.
- Prefer knowledge of document extraction, conversational systems, NLP pipelines, multimodal AI, ML observability, model monitoring, cost optimization, and inference tuning.
- Prefer exposure to healthcare IT and standards including claims processing, HL7, EDI 837, EDI 835, and FHIR.
- Prefer familiarity with feature stores, vector databases, reusable ML components, and cross-product AI enablement.
Benefits
- Flexible work environment.
- Competitive salaries, paid vacation, and holidays.
- Professional development programs.
- Health, wellness, and financial packages.
Tech Stack
AWSAzureC#DockerGoogle Cloud PlatformKubernetesMLflowNumPyPandasPythonPyTorchscikit-learnSQLTensorFlow
Categories
About Alegeus Technologies LLC
Alegeus Technologies builds SaaS platforms for benefit funding and healthcare payments, powering account-based programs like HSAs, FSAs, HRAs, COBRA, and lifestyle accounts. It sells a white-label system used by health plans, third‑party administrators, and financial institutions to administer accounts, issue payment cards, and manage consumer engagement. Founded in 1995 and headquartered in Boston, it operates as a privately held company serving the U.S. consumer-directed healthcare market.