Application Developer III

argocyber

Arlington (VA)

On-site

USD 110,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Medical and dental benefits

401K and retirement savings

Job summary

Argo Cyber Systems, LLC seeks an Application Developer III to design and implement automation for AI/ML workflows on Arlington on-site infrastructure and hybrid environments. The role focuses on data pipelines, AI/LLM integrations, and scalable automation across pilot to production stages.

Candidates should bring 5+ years in automation engineering or data software development, strong Python skills, and experience with AWS data ingestion and Databricks.

Qualifications

U.S. Citizenship is required.
Bachelor's degree with 5+ years of experience in automation engineering, data engineering, or software development.
Experience with data ingestion pipeline design on AWS.
Experience with AI/LLM configuration, tuning, and integration.
Experience with Machine Learning (ML) pipelines.
Strong programming skills in Python, with experience in data manipulation libraries.
Experience Amazon Bedrock (model access, endpoints, API Integration).
Knowledge of automation frameworks and orchestration tools.
Experience with APIs and integration technologies.
Understanding of database systems and data modeling.
Familiarity with version control (Git) and CI/CD practices.
Strong problem-solving and analytical skills.
Ability to translate business requirements into automated solutions.
Excellent documentation and communication abilities.

Responsibilities

Develop automated data pipelines for machine learning technology integration initiatives.
Create automation workflows for malware sample collection, detonation, and taxonomy.
Implement AI/LLM integrations with Databricks and other cloud services.
Implement data integration automation between pilot and production systems.
Support Automated Malware Analysis (AMA) platform development and enhancement.
Develop scripts and tools to automate repetitive technical tasks.
Create data transformation and normalization automation.
Support AI/ML data preparation and feature engineering automation.
Develop monitoring and alerting automation for integrated systems.
Implement API integrations for data sharing and workflow automation.
Document automation solutions and maintain code repositories.
Support scaling automation from pilot to production environments.
Optimize automation performance and efficiency.
Collaborate with analysts to identify automation opportunities.
Ensure automation solutions maintain data quality and integrity.
Support continuous improvement of automated capabilities.

Skills

Python

AWS data pipelines

AI/LLM configuration

ML pipelines

API integration

Git & CI/CD

Documentation

Problem-solving

Scripting

Education

Bachelor's degree

Tools

Databricks

Airflow

Prefect

Docker

Kubernetes

Kafka

Kinesis

Spark

Hadoop

Job description

Application Developer III

Location: Arlington, VA (On-Site)/ Hybrid

Citizenship: US only

Clearance: Active TS/SCI (DHS EOD Suitability required)

Company: Argo Cyber Systems, LLC - Service-Disabled Veteran-Owned Small Business (SDVOSB)

About Argo Cyber Systems

Argo Cyber Systems provides mission-critical cybersecurity support to U.S. Government agencies and critical infrastructure owners nationwide. Our teams deliver rapid incident response, advanced forensics, and coordinated recovery operations to protect vital systems from evolving cyber threats. We combine technical precision with operational agility - helping federal partners identify, contain, and recover from complex cyber incidents with speed and confidence.

Argo Cyber Systems is seeking an experienced AI/ML Engineer who will develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.

Role and Responsibilities

Develop automated data pipelines for machine learning technology integration initiatives
Create automation workflows for malware sample collection, detonation, and taxonomy
Implement AI/LLM integrations with Databricks and other cloud services
Implement data integration automation between pilot and production systems
Support Automated Malware Analysis (AMA) platform development and enhancement
Develop scripts and tools to automate repetitive technical tasks
Create data transformation and normalization automation
Support AI/ML data preparation and feature engineering automation
Develop monitoring and alerting automation for integrated systems
Implement API integrations for data sharing and workflow automation
Document automation solutions and maintain code repositories
Support scaling automation from pilot to production environments
Optimize automation performance and efficiency
Collaborate with analysts to identify automation opportunities
Ensure automation solutions maintain data quality and integrity
Support continuous improvement of automated capabilities

Qualifications, Education and Skills Requirements

U.S. Citizenship is required.
Bachelor's degree with 5+ years of experience in automation engineering, data engineering, or software development
Experience with data ingestion pipeline design on AWS
Experience with AI/LLM configuration, tuning, and integration
Experience with Machine Learning (ML) pipelines
Strong programming skills in Python, with experience in data manipulation libraries
Experience Amazon Bedrock (model access, endpoints, API Integration)
Knowledge of automation frameworks and orchestration tools
Experience with APIs and integration technologies
Understanding of database systems and data modeling
Familiarity with version control (Git) and CI/CD practices
Strong problem-solving and analytical skills
Ability to translate business requirements into automated solutions
Excellent documentation and communication abilities