As an Automation & ML/AI Engineer, you will design, develop, and deploy intelligent automation and AI-powered solutions that help federal agencies improve operational efficiency, accelerate decision-making, and deliver better outcomes.

Company: Zyxware Technologies

Role: Automation & AI/ML Engineer

Location: Remote

Experience:

3-6 years of professional experience in software engineering, automation development, AI application development, or related technical roles
Experience delivering production solutions that support business operations and end users
Experience working in Agile software development environments

Key Skills:

Python
Machine Learning
Artificial Intelligence
large language models (LLMs)
retrieval-augmented generation (RAG)
prompt engineering
agent-based workflows
document intelligence
data processing
natural language processing (NLP)
named entity recognition (NER)
classification
information extraction
AWS services
cloud-native architectures
CI/CD pipelines
infrastructure automation
monitoring
logging
operational support activities

Qualification:

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience

Role Focus:

Design, develop, and deploy AI-enabled applications and services using Python and modern cloud technologies
Build solutions leveraging large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, agent-based workflows, and related AI techniques
Develop systems that support document review, classification, summarization, extraction, redaction, and decision-support workflows
Evaluate emerging AI technologies and recommend practical applications that deliver measurable value
Develop document-processing pipelines utilizing OCR, text extraction, natural language processing (NLP), named entity recognition (NER), classification, and information extraction techniques
Build and maintain workflows that process structured and unstructured data from a variety of business systems and document repositories
Implement quality controls, validation processes, and monitoring to ensure reliable outputs
Design and build maintainable backend services, APIs, and automation platforms using Python
Develop lightweight web applications and user interfaces that enable non-technical users to interact with AI and automation solutions
Contribute to solution architecture, technical design, testing strategies, and deployment processes
Write clean, well-documented, and maintainable code following established engineering standards
Build and deploy solutions using AWS services and cloud-native architectures
Support CI/CD pipelines, infrastructure automation, monitoring, logging, and operational support activities
Ensure applications are scalable, secure, reliable, and aligned with government security requirements
Design and implement workflow automation solutions using APIs, cloud services, event-driven architectures, and automation platforms
Integrate AI and automation capabilities with enterprise systems, databases, and third-party applications
Support robotic process automation (RPA) initiatives where appropriate
Collaborate closely with engineers, project managers, analysts, and client stakeholders to understand business needs and deliver effective technical solutions
Participate in Agile development processes, including planning, estimation, testing, and release activities
Communicate technical concepts clearly to both technical and non-technical audiences
Contribute to knowledge sharing, documentation, and continuous improvement efforts across the team

Nice to have:

Experience with document intelligence technologies, including OCR, document classification, information extraction, NER, or document redaction workflows
Experience developing AI-powered applications using AWS AI services, OpenAI APIs, Anthropic models, or similar technologies
Experience building retrieval-augmented generation (RAG) systems and knowledge-based AI applications
Familiarity with modern frontend frameworks and single-page application development
Experience with AWS services such as Lambda, ECS, Amplify, API Gateway, S3, DynamoDB, Bedrock, Textract, or related technologies
Experience with workflow automation or robotic process automation (RPA) platforms such as UiPath
Experience working in public sector, regulated, or compliance-focused environments
Relevant AWS, AI, cloud, or software engineering certifications
Public sector consulting experience

Other:

Must be able to pass a government background check and obtain a government-issued ID badge before beginning work
Strong analytical and problem-solving skills with the ability to break down complex business challenges into effective technical solutions
Excellent written and verbal communication skills
Ability to work independently while collaborating effectively within a distributed team
Highly organized, proactive, and accountable for delivering quality results
Demonstrated curiosity and willingness to learn emerging technologies and share knowledge with others
Strong attention to detail and commitment to producing maintainable, high-quality solutions

Automation & AI/ML Engineer

Skills Required

Description