Machinify

5 months ago

Staff Software Engineer | Agentic Workflows

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead design and development of large-scale AI-powered systems for Payment Integrity and Audit, building agentic workflows, multi-modal LLM pipelines, and scalable data processing while guiding engineers and collaborating with data science, data engineering, and product teams to reduce tech debt and improve reliability.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Lead design and development of large-scale systems that bring cutting-edge AI into production to transform Payment Integrity and Audit solutions.
•Lead development of document processing pipelines capable of annually handling hundreds of millions of documents, including medical records, claims, and benefits data.
•Design and implement agentic workflows that review and validate millions of healthcare claims per year, ensuring accuracy and payment integrity.
•Evolve our agentic ecosystem by driving innovation in prompt development lifecycle, multi-modal LLMs, context extraction, RAG, workflow orchestration frameworks, observability and explainability.
•Collaborate across teams (Data Science, Data Engineering, and Product) to deliver robust, end-to-end AI-powered systems that automate complex workflows.

Pay and Benefits

Salary: USD 180,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

•6+ years of software engineering experience, including at least 2 years building agentic systems or AI-driven workflows in an enterprise setting.
•Strong programming expertise in Java and Python, with additional experience in Scala a significant plus.
•Experience designing and scaling large-scale distributed systems and pipelines, ideally processing unstructured data such as documents or healthcare records.
•Proven ability to productionize AI/ML techniques (LLM prompt engineering, RAG, workflow automation, and agents) focusing on reliability, observability, and explainability.
•Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and a passion for tracking metrics.

Experience:6+ yearsHealthcareAIEnterpriseHealthcare dataDistributed systems

Education:Bachelor's

Skills:JavaPythonScalaDistributed systemsLLMRAGPrometheusGrafanaObservabilityAsynchronous programmingSystem design

Languages:English

Tech Stack:JavaPythonScalaSparkFlinkKafkaAirflowRayLLMRAGPrometheusGrafana

Company Brief

Machinify

Industry: Industrial Automation

Website

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Machinify

5 months ago

Staff Software Engineer | Agentic Workflows

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Lead design and development of large-scale systems that bring cutting-edge AI into production to transform Payment Integrity and Audit solutions.
•Lead development of document processing pipelines capable of annually handling hundreds of millions of documents, including medical records, claims, and benefits data.
•Design and implement agentic workflows that review and validate millions of healthcare claims per year, ensuring accuracy and payment integrity.
•Evolve our agentic ecosystem by driving innovation in prompt development lifecycle, multi-modal LLMs, context extraction, RAG, workflow orchestration frameworks, observability and explainability.
•Collaborate across teams (Data Science, Data Engineering, and Product) to deliver robust, end-to-end AI-powered systems that automate complex workflows.

Pay and Benefits

Salary: USD 180,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

•6+ years of software engineering experience, including at least 2 years building agentic systems or AI-driven workflows in an enterprise setting.
•Strong programming expertise in Java and Python, with additional experience in Scala a significant plus.
•Experience designing and scaling large-scale distributed systems and pipelines, ideally processing unstructured data such as documents or healthcare records.
•Proven ability to productionize AI/ML techniques (LLM prompt engineering, RAG, workflow automation, and agents) focusing on reliability, observability, and explainability.
•Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and a passion for tracking metrics.

Experience:6+ yearsHealthcareAIEnterpriseHealthcare dataDistributed systems

Education:Bachelor's

Skills:JavaPythonScalaDistributed systemsLLMRAGPrometheusGrafanaObservabilityAsynchronous programmingSystem design

Languages:English

Tech Stack:JavaPythonScalaSparkFlinkKafkaAirflowRayLLMRAGPrometheusGrafana

Company Brief

Machinify

Industry: Industrial Automation

Website