Senior Software Engineer – AI Platforms, Automation

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of and improve internally developed applications and tools that facilitate terminology management, content creation, mapping, workflow automation, and content delivery.

• Develop and sustain integrations among internal applications, APIs, knowledge bases, databases, and AI services.

• Create and implement new automation and AI-enhanced functionalities.

• Offer operational support for AI-enabled applications and workflows in production, which includes troubleshooting, incident response, release coordination, and maintenance.

• Oversee deployments, infrastructure configuration, monitoring, alerting, and operational support for applications and services hosted on AWS.

• Examine production issues, conduct root-cause analysis, and implement reliable improvements.

• Assist in the development of AI agents and workflow automation capabilities as they evolve into scalable production solutions.

• Create and troubleshoot AWS cloud workflows utilizing Bedrock, Lambda, Glue, S3, IAM, CloudWatch, and MWAA/Airflow.

• Establish testing, monitoring, and operational-readiness protocols for AI-enabled workflows.

• Collaborate with clinical, terminology, product, data science, and engineering teams.

• Guide team members and advocate for secure, maintainable, production-ready engineering practices.

⛳️ Requirements

• A Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical field; equivalent professional experience will also be accepted.

• More than 7 years of professional experience in software engineering, backend engineering, platform engineering, DevOps, MLOps, cloud engineering, or a related area, including support for production systems.

• Strong expertise in Python and experience in developing maintainable production services, APIs, internal tools, jobs, or workflow automation.

• Experience in designing, deploying, and maintaining cloud-based applications in AWS.

• Background in building or supporting AI-enabled applications using Amazon Bedrock, LLM APIs, knowledge bases, AI agents, RAG, or analogous technologies.

• Familiarity with CI/CD pipelines, Git-based development workflows, automated testing, configuration management, and release processes.

• Proficient in Docker, Kubernetes, or other containerized services, Terraform or Infrastructure-as-Code, and production monitoring/alerting tools.

• Experience with workflow orchestration, data pipelines, or job scheduling tools such as Airflow/MWAA, Glue, Lambda, cron-based jobs, or similar technologies.

• Basic understanding of SQL and relational databases like PostgreSQL.

• Excellent troubleshooting capabilities, including triaging production issues, root-cause analysis, log analysis, and implementing durable solutions.

• Ability to collaborate with domain experts and convert workflow requirements into practical technical solutions.

• Strong skills in communication, documentation, and collaboration.

• Preferred: experience in scaling AI applications or agent-based workflows for production.

• Preferred: familiarity with prompt engineering, tool/function calling, AI evaluation, and AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor.

• Preferred: knowledge of LangChain, LangGraph, LlamaIndex, healthcare technology, clinical data, clinical terminology, regulated data environments, knowledge graphs, semantic standards, vector databases, embeddings, and search technologies.

• Preferred: AWS certifications.

🏝️ Benefits

• Base salary target ranging from $140,000 to $200,000 per year.

• Eligibility for bonuses.

• Equity opportunities.

• Comprehensive benefits package.