Applied ML Engineer, Agents & Automation

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 60 days.
• 102 open roles for a team of 16.
• No salary listed.

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Bask Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Pre Seed Round on 2022-05

Healthcare • Consulting • Logistics

Bask Health is a robust platform providing a comprehensive suite of customizable telehealth solutions. It offers tools such as a questionnaire builder, patient portals, and pharmacy fulfillment services, all secured with strong encryption and HIPAA-compliance. Bask Health seamlessly integrates telehealth and e-commerce, enabling streamlined patient care from consultation to delivery. The platform supports entrepreneurs, doctors, and developers by offering scalable no-code solutions that enhance user experience and business growth. With its nationwide pharmacy network, Bask Health empowers businesses to efficiently manage prescriptions, patient data, and order fulfillment across the entire digital health landscape.

📋 Description

• Design, build, and deploy AI agents that automate approved workflows across Bask Health's telehealth platform • Develop agent architectures combining large language models, tools, APIs, and application logic • Build multi-step automation systems coordinating tasks across multiple services • Implement reliable tool-calling and function-execution capabilities • Develop orchestration logic for task planning, execution, and completion • Build reusable components for agent state management, context handling, and workflow execution • Integrate agents with internal APIs, databases, and approved external services • Develop retrieval capabilities providing relevant information and application context • Design structured outputs and validation systems for agent-generated actions • Implement permission checks and authorization controls for automated tool execution • Build human approval and confirmation steps for sensitive or consequential actions • Develop safeguards against prompt injection, unauthorized actions, and unreliable model behavior • Implement retry logic, error recovery, timeouts, and fallback mechanisms • Build monitoring and tracing systems for observable and debuggable agent behavior • Create automated tests for tool selection, workflow execution, and task completion • Develop evaluation datasets and benchmarks for agent accuracy and reliability • Measure agent success rates, task completion, latency, and operational costs • Investigate agent failures and improve prompts, tools, models, and orchestration logic • Evaluate model adaptation, fine-tuning, or alternative ML approaches for task performance • Collaborate with product teams to identify repetitive workflows suitable for automation • Develop AI-powered automation for merchant configuration and operational tasks • Support approved administrative workflows involving patient and pharmacy coordination • Work with backend engineers to integrate agent systems into production infrastructure • Design event-driven automation triggered by approved application events • Optimize agent performance, infrastructure usage, and model inference costs • Build internal tools to inspect, test, and troubleshoot agent workflows • Participate in architecture discussions, code reviews, and engineering planning • Own assigned automation initiatives from technical design through deployment and continuous improvement

🎯 Requirements

• 3+ years of professional experience in software engineering, machine learning engineering, or a closely related technical field • Experience building and deploying production software applications • Strong programming skills in Python, TypeScript, or comparable languages • Hands-on experience developing AI-powered applications or intelligent automation systems • Familiarity with large language models and modern generative AI development techniques • Experience integrating model APIs into production software • Understanding of tool calling, function calling, and AI application orchestration • Experience building backend services and application APIs • Familiarity with asynchronous programming and distributed application workflows • Understanding of workflow state management and multi-step process execution • Experience integrating internal services, databases, and third-party APIs • Familiarity with structured model outputs and schema validation • Understanding of prompt engineering and model behavior evaluation • Ability to identify and troubleshoot unreliable AI-generated outputs • Experience designing automated tests for production software • Familiarity with logging, monitoring, and production troubleshooting • Understanding of authentication, authorization, and secure API design • Ability to implement error handling, retries, and recovery mechanisms • Familiarity with cloud-based application deployment • Understanding of data pipelines and structured application data • Ability to evaluate technical tradeoffs between AI-driven automation and deterministic software • Experience working with Git, code review, and collaborative engineering practices • Ability to translate operational requirements into reliable technical solutions • Strong analytical thinking and problem-solving skills • Ability to independently own engineering projects and communicate effectively with cross-functional teams • Nice to have: Experience building production AI agents or agent-based automation systems • Nice to have: Familiarity with LangGraph, LangChain, Semantic Kernel, or comparable agent orchestration frameworks • Nice to have: Experience with OpenAI, Anthropic, or similar model APIs • Nice to have: Experience implementing multi-agent workflows or coordinated agent execution • Nice to have: Familiarity with retrieval-augmented generation and vector search • Nice to have: Experience building AI applications with persistent state or long-running workflows • Nice to have: Experience with event-driven architectures and workflow engines • Nice to have: Familiarity with AWS Lambda, SQS, EventBridge, or comparable cloud services • Nice to have: Experience with Temporal or similar durable workflow orchestration platforms • Nice to have: Experience with model fine-tuning, supervised learning, or task-specific model adaptation • Nice to have: Familiarity with machine learning evaluation methodologies and experiment tracking • Nice to have: Experience developing benchmarks for agent task completion and tool-use accuracy • Nice to have: Experience with agent observability and tracing tools • Nice to have: Familiarity with human-in-the-loop approval systems • Nice to have: Experience implementing sandboxed tool execution or restricted automation environments • Nice to have: Understanding of prompt injection risks and agent security practices • Nice to have: Experience building automation for SaaS platforms or e-commerce operations • Nice to have: Familiarity with healthcare, telehealth, or pharmacy-related workflows • Nice to have: Understanding of HIPAA and healthcare data privacy considerations • Nice to have: Experience using AI-assisted development tools such as Cursor or Claude Code

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