Senior Applied AI Engineer – Wellness

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

📋 Description

• Develop and implement AI agents for Wellness clients from start to finish.

• Transform client workflows into actual agent workflow designs.

• Conduct technical discussions with clients’ clinical, IT, and operations teams.

• Turn client requirements into prompts, tools, retrieval structures, and vector databases.

• Integrate with client data systems, such as CRMs.

• Create ingestion pipelines to facilitate client data integrations.

• Write the production stack, covering agent runtime, routing, orchestration, and evaluations.

• Assist in developing the machine learning aspect using Python, which includes training, embeddings, and model registry.

• Create declarative guardrails and integrations within workflows.

• Design and manage relational databases and caching layers for real-time agent operations and compliance audit trails.

• Codify configuration patterns for each client into reusable components to expedite onboarding.

• Collaborate with product, account management, and platform engineering teams to translate field insights into platform enhancements.

⛳️ Requirements

• Over 5 years of experience in a production engineering role delivering customer-facing software.

• Backgrounds in solutions engineering or consulting are acceptable if they involve writing and deploying production code, rather than just scoping.

• Proficiency in a variety of programming languages, including Javascript/Node, Typescript, Python, etc.

• Experience in building and maintaining real-time systems: WebSockets, streaming media, event-driven architectures, or high-throughput API services.

• Hands-on integration work with CRM platforms like Salesforce or HubSpot, or data warehouse/lake connectors such as Snowflake, Databricks, or S3.

• Experience in developing retrieval and ingestion paths that provide agents with reliable context, ensuring appropriate guardrails and caching.

• Familiarity with data engineering patterns: ETL/ELT pipelines, data quality assessments, and ingestion from diverse sources.

• Comfortable with cloud infrastructure, including AWS or GCP, containers, CI/CD, monitoring, and basic security measures.

• Strong client-facing communication skills and the ability to conduct technical working sessions with customers’ IT teams, translating findings into engineering decisions.

• Startup mindset: capable of building, delivering, and resolving issues as they arise.

• Nice to have: experience with voice or telephony infrastructure.

• Nice to have: experience in LLM orchestration and designing agentic systems, including prompt engineering, function calling, structured output, and guardrails.

• Nice to have: familiarity with workflow engines, rules engines, or state machine architectures.

• Nice to have: product sensibility and the ability to influence product direction through technical insights.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.