Full Stack Engineering Specialist - Military Veterans

What you’ll do:

Job summary

This position is responsible for leading the efforts of a team in gathering user requirements, defining system functionality and writing code in various languages like C#,Python, Azure Open AI services & LLM Models. This role will mainly be involved in AI applications within the electrical, energy, aerospace, automotive sector. 

The full stack engineer will write code that resides in all areas across a typical application stack. This encompasses the user interface (UI), back-end systems, APIs, databases and data stores, as well as unit tests and test automation scripts. They know how to author high-quality, unit tested code for scalable web applications and distributed systems. Solutions run on-premises and in the cloud.

Full stack engineers have extensive experience with the software development life cycle (SDLC) from preliminary system analysis to tests and deployment.  They review the work of others on their team to ensure adherence to coding standards.

Full stack engineers will demonstrate and document solutions by using flowcharts, diagrams, code comments, code snippets, and performance instruments. "    

Job responsibilities:

- Author high quality, unit tested code in an iterative manner
- Drive and evangelize a Secure Product Development Lifecycle approach that establishes a strong cybersecurity focus and culture across the entire engineering lifecycle
- Posses extensive knowledge of a wide range of technologies and programming languages. Maintain job knowledge by studying software development techniques and programming languages. Participate in educational opportunities and read professional publications. A leader in this area.
- Define, develop, build, and configure solutions that implement user stories
- Define, develop and execute agile work plans for iterative and incremental product delivery
- Ensure that solutions delivered by the team meet technical requirements, non-functional requirements, and enterprise technology standards.
- Continuously integrate and deploy solutions (with support of DevOps and service teams)
- Test software to ensure responsiveness and performance. Work with test teams to ensure adequate and appropriate test case coverage; investigate and fix bugs; create automated test scripts.
- Recommend software tools to management and architecture teams
-Implement and maintain the infrastructure needed for end-to-end machine learning workflows including data collection, model training, and deployment in production environments.
-Manage the lifecycle of large language models including training, evaluation, deployment, and monitoring of these models.
-Evaluate the performance of various machine learning models using appropriate metrics and statistical tests. Make recommendations on which models to use based on their performance.
-Fine-tune and enhance existing Retrieval Augmented Generation (RAG) and LLM models to improve their performance and adaptability.
-Leverage Azure AI technologies for developing, deploying, and managing AI solutions with Azure Machine Learning and Cognitive Services.

* This Hybrid role must work on-site 3 days weekly at one of the following locations: Beachwood OH; Galesburg, MI ; Menomonee Falls, WI ; Raleigh, NC ; Moon Township, PA ; Houston, Tx.  Candidate must currently reside in selected location. Relocation is not available for this role. 

Qualifications:

Basic (required) qualifications: 

•  Bachelor's degree in Computer Science or Engineering from an accredited institution.
•  9+ years of overall experience working within the software industry.  
•  5+ years leading software development including C#, Python and associated IDE’s (Visual Studio, Eclipse, IntelliJ, etc.)/ cloud service projects such as Azure, AWS, and / or GCP.
•  3+ years of experience developing cloud native applications in Azure cloud.  
•   No relocation benefit is being offered for this position.  Only candidates within a 50-mile radius of the posted work location (s) will be considered.  Active-Duty Military Service member candidates are exempt from the geographical area limitation.
•   Must be legally authorized to work in the United States without company sponsorship both now and in the future.
 

Preferred Qualifications:

•  MS degree in Computer Science from an accredited institution.
•  Extensive experience utilizing best practices in software engineering.
•  Expert in Azure Open AI , LLM, MLOps,Azure Cognitive services, RAG and their associated development platforms and model evaluation techniques.
•  Extensive experience developing enterprise grade, highly scalable web-based applications and/or distributed systems.
•  Expert level skills in C#,Python and associated IDE’s .
•  Advanced understanding of software design principles, algorithms, data structures, and multithreading concepts.
•  Expert level understanding of DevSecOps, CI, and CD principles from code check-in through to deployment.
•  Advanced in Agile, Scrum, or Kanban.
•  Excellent problem-solving abilities and attention to detail.
•  Strong communication skills and the ability to explain complex concepts to non-technical stakeholders.
•  Advanced verbal and written communication skills including the ability to explain and present technical concepts to a diverse set of audiences.
•  Comfortable working directly with both technical and non-technical audiences.
•  Good judgment, time management, and decision-making skills
•  Ability to work collaboratively on a technical team.
•  Experience working with and guiding diverse, global cultures, organizations and teams.