ai/ml software engineer

Siemens

<div>
 <strong>
  Siemens Digital Industries Software - Where today meets tomorrow.
  <br/>
  <br/>
 </strong>
 <strong>
  Let's make the difference together!
  <br/>
  <br/>
 </strong>
 We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation&mdash; helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
 <br/>
 <br/>
 We are looking for passionate Senior AI/ML Software Professionals / Engineers who will be a member of our technology and innovation team responsible for new technology development and innovation projects within our organization.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, test, and deploy web applications and services using modern programming languages, frameworks, and tools for both front-end and back-end development.
  </li>
  <li>
   Develop products and prototypes in one or all the following areas: LLM (Large Language Model), NLP (Natural Language Processing), DL (Deep Learning), ML (Machine Learning), etc.
  </li>
  <li>
   Work with partners and customers to create the highest quality and cost-effective solutions.
  </li>
  <li>
   Drive the software production process; own given features from beginning to end, from mockups &amp; design documents/reviews to acceptance testing and deployment.
  </li>
  <li>
   Produce high-quality and innovative deliverables for our development teams and customers.
  </li>
  <li>
   Conform to Siemens processes, quality standards, and guidelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications &amp; Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BSc., MSc. or Ph.D. in Computer Engineering, Computer Science, Mathematics, or in related areas
  </li>
  <li>
   Experience in developing web applications for diverse industries is a must.
  </li>
  <li>
   Minimum of 4 years of professional experience in a similar role is required.
  </li>
  <li>
   Proficiency in multiple programming languages such as Python, Java, and/or JavaScript, is a must, and knowledge of UI frameworks like ReactJS and Angular is a plus.
  </li>
  <li>
   Understanding of data structures, data modeling, and software architecture
  </li>
  <li>
   Hands-on experience in experience in web/cloud and mobile application development for AI, ML-based solutions.
  </li>
  <li>
   Hands-on experience in designing and developing software applications for web/cloud and IoT platforms (AWS, Google Cloud, Microsoft Azure, or IBM Bluemix, etc.) is required.
  </li>
  <li>
   Hands-on experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) is a plus.
  </li>
  <li>
   Knowledge of virtualization technologies like Docker, and Kubernetes is a plus.
  </li>
  <li>
   Passionate about developing simple, clean, and attractive code.
  </li>
  <li>
   Strong problem-solving and analytical skills.
  </li>
  <li>
   Proficiency in English
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We are Siemens
  <br/>
  <br/>
 </strong>
 A collection of over 377,000 minds building the future one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!
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 We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.
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 Transform the everyday
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 <br/>
 <strong>
  Working at Siemens Software
  <br/>
  <br/>
 </strong>
 <strong>
  Why us?
  <br/>
  <br/>
 </strong>
 Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.
</div>


Senior AI/ML Software Engineer

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.</p><p>
Job Description</p><div><p>
At GDIT, we deliver clarity with cloud, AI, and data-driven solutions that modernize mission‑critical systems for federal clients. We are seeking an experienced AI/ML Lead Software Engineer to design, develop, and deploy advanced machine learning and AI solutions. You will partner with data scientists and engineers to build scalable systems, integrate AI into enterprise platforms, and deliver production-ready capabilities.</p><p></p><p>
How You&rsquo;ll Make an Impact</p><ul><li>
Design and implement machine learning models for use cases including predictive analytics, NLP, computer vision, and recommendation systems.</li><li>
Collect, clean, and preprocess large structured and unstructured datasets; ensure data quality and relevance.</li><li>
Train, validate, and optimize models using modern frameworks and best practices.</li><li>
Engineer features and apply domain knowledge to improve model accuracy and generalization.</li><li>
Deploy models to production and integrate them with enterprise applications, APIs, and MLOps workflows.</li><li>
Build scalable solutions for batch or real-time inference; package, version, and automate deployments with CI/CD.</li><li>
Monitor production models for drift, performance, reliability, and trigger retraining as needed.</li><li>
Document technical designs, data lineage, assumptions, and best practices.</li><li>
Collaborate with cross-functional teams to understand requirements and deliver impactful AI capabilities.</li><li>
Provide guidance to junior team members and serve as a task or team lead when needed.</li><li>
Work independently with general supervision.</li></ul><p></p><p>
Required Education / Skills</p><ul><li>
Bachelor&rsquo;s degree and 8+ years of experience.</li><li>
Hands-on experience with Alteryx.</li><li>
Strong Python skills (Pandas, NumPy, scikit-learn) and SQL expertise.</li><li>
Solid understanding of statistics (probability, hypothesis testing, regression, A/B testing).</li><li>
Experience across the full ML lifecycle: feature engineering, training, evaluation, deployment, and monitoring.</li><li>
Data wrangling and pipeline development (ETL/ELT) for large and complex datasets.</li><li>
Model evaluation (metrics selection, bias/variance, error analysis).</li><li>
MLOps integration and experience with API-based AI services.</li><li>
Production deployment experience including packaging, versioning, CI/CD, and monitoring (drift, performance).</li><li>
Experience with at least one major cloud platform (Azure, AWS, or GCP).</li><li>
Familiarity with Docker and Git.</li><li>
Data visualization skills (Power BI or Tableau).</li><li>
Strong system analysis abilities to identify AI use cases.</li><li>
Clear communication of technical concepts and business value.</li><li>
Knowledge of Responsible AI principles and data security practices.</li><li>
Ability to support 24x7 environments when required.</li></ul><p></p><p>
Preferred Skills</p><ul><li>
Experience with large language models (Azure OpenAI, OpenAI API), prompt engineering, and LLM quality/safety evaluation.</li><li>
Experience with RAG pipelines and vector databases (Azure AI Search, Pinecone, FAISS).</li><li>
Knowledge of LLM fine‑tuning and domain adaptation.</li><li>
Experience with experiment tracking/orchestration tools (MLflow, Weights &amp; Biases).</li><li>
Kubernetes and ML deployment tools (AKS, EKS, Argo, KServe).</li><li>
Feature stores, A/B testing frameworks, and streaming platforms (Kafka, Kinesis).</li><li>
CI/CD and IaC tools (GitHub Actions, Azure DevOps, Terraform, Bicep).</li><li>
Experience with Databricks, Snowflake, or BigQuery.</li><li>
Strong API development (REST/GraphQL) for ML workloads.</li><li>
Monitoring/observability tools (Prometheus, Grafana).</li><li>
Responsible AI tools (SHAP, LIME) and model risk management.</li><li>
Knowledge of privacy-by-design, PII handling, and regulated environments (e.g., FedRAMP).</li><li>
Experience with R, PySpark, or Scala for large-scale data workloads.</li><li>
Experience with LangChain or Semantic Kernel for LLM applications.</li><li>
Advanced Power BI or Tableau (parameterized dashboards, row-level security).</li></ul><p></p><p>
Location: This is a hybrid role that requires 3 days per week at the client site in Southwest Washington DC.</p><p></p><p>
Visa Sponsorship Will Not Be Provided for This Position</p><p></p><p>
Clearance: Candidates must be eligible to obtain a federal security clearance</p><p></p><p>
GDIT IS YOUR PLACE:</p><ul><li><p>
Full-flex work week to own your priorities at work and at home</p></li><li><p>
401K with company match</p></li><li><p>
Comprehensive health and wellness packages</p></li><li><p>
Internal mobility team dedicated to helping you own your career</p></li><li><p>
Professional growth opportunities including paid education and certifications</p></li><li><p>
Cutting-edge technology you can learn from</p></li><li><p>
Rest and recharge with paid vacation and holidays</p></li></ul>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
8 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
None</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

AI/ML Lead Software Engineer

Forsa Connect

<p>Apply Now Directly:</p><p>https://forsaconnect.com/job/95</p><p>Senior AI/ML Engineer (LLMs | MLOps | AWS) &ndash; Remote</p><p>We are looking for experienced AI/ML Engineers to join our team and work on advanced AI systems. This role starts as part-time and can transition into a full-time opportunity.</p><p>Location: Egypt (Remote)<br/>Work Hours: U.S. Time Zone</p><p>Key Responsibilities:</p><p>- Take technical interviews on behalf of our developers<br/>- Work on AI/ML systems including LLMs, NLP, and AI-driven applications<br/>- Support development and deployment of scalable AI solutions<br/>- Collaborate on real-world AI and software projects</p><p>Requirements:</p><p>- 7+ years of experience in AI/ML or Software Engineering<br/>- Strong experience with LLMs, GenAI, NLP, or AI Agents<br/>- Hands-on experience with MLOps and model deployment<br/>- Experience with cloud platforms (AWS preferred)<br/>- Strong understanding of system design and scalable architectures<br/>- Excellent communication skills</p><p>Compensation:</p><p>- Part-time: $20&ndash;$40/hr<br/>- Full-time: 40&ndash;50% of project income (~$4,000&ndash;$5,000/month)</p><p>Job Type: Full-time</p><p>Work Location: Remote</p>

AI/ML Engineer FC95

Finaira

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
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 <br/>
 <strong>
  Focus:
 </strong>
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 <br/>
 <br/>
 <strong>
  The difference you will make:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide technical leadership, guidance, and mentorship to a team of AI Engineer
  </li>
  <li>
   Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
  </li>
  <li>
   Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
  </li>
  <li>
   Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
  </li>
  <li>
   Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
  </li>
  <li>
   Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
  </li>
  <li>
   Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
  </li>
  <li>
   Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
  </li>
  <li>
   Act as a primary technical point of contact for stakeholders regarding AI solutions
  </li>
  <li>
   Hands-on contribution to critical code components, architectural design, and complex problem-solving
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  What you will bring to the role:
  <br/>
  <br/>
 </strong>
 <strong>
  Education:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
  </li>
  <li>
   Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
  </li>
  <li>
   In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
  </li>
  <li>
   Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
  </li>
  <li>
   Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
  </li>
  <li>
   Excellent understanding of data engineering principles, data governance, and database technologies
  </li>
  <li>
   Ability to evaluate and make sound technical decisions on complex trade-offs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
  </li>
  <li>
   Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
  </li>
  <li>
   Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
  </li>
  <li>
   Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
   <br/>
   <br/>
  </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>


Principal AI Engineer

Arrow Components

<div>
 <strong>
  Position
  <br/>
  <br/>
 </strong>
 Senior Software Quality Engineer
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for a
 <strong>
  Senior Software Quality Engineer
 </strong>
 with strong experience in manual, automation, performance, and API testing, along with a passion for using
 <strong>
  AI/ML to enhance software testing
 </strong>
 . You&rsquo;ll be part of an Agile team focused on delivering high-quality products faster and smarter.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Plan, design, and execute manual and automated test cases based on requirements, user stories, and acceptance criteria.
  </li>
  <li>
   Develop and maintain test automation frameworks across UI and API platforms.
  </li>
  <li>
   Perform API testing using tools like Postman, RestAssured, or similar.
  </li>
  <li>
   Develop and maintain performance testing using tools such as JMeter, Gatling, or LoadRunner; analyze performance metrics and suggest improvements.
  </li>
  <li>
   Apply AI/ML technologies techniques to improve testing practices, such as:
  </li>
  <ul>
   <li>
    AI-assisted test case generation
   </li>
   <li>
    Test impact analysis
   </li>
   <li>
    Intelligent test prioritization
   </li>
   <li>
    Self-healing automation scripts
   </li>
   <li>
    Predictive defect analysis
   </li>
  </ul>
  <li>
   Collaborate with developers, product owners, and business analysts in Agile ceremonies including sprint planning, reviews, and retrospectives.
  </li>
  <li>
   Contribute to and enforce quality best practices, including shift-left testing and test strategy planning.
  </li>
  <li>
   Investigate, debug, and triage issues; perform root cause analysis and track defect trends.
  </li>
  <li>
   Continuously explore and evaluate new tools and techniques to optimize test coverage and cycle time.
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years in QC with expertise in manual, automation, API, and performance testing.
  </li>
  <li>
   Hands-on experience with tools like Selenium, Playwright, JMeter, and Postman.
  </li>
  <li>
   Proficient in scripting/programming languages like Python, Java, or JavaScript.
  </li>
  <li>
   Working knowledge of AI/ML concepts, especially as applied to testing (e.g., pattern detection, test impact analysis).
  </li>
  <li>
   Experience using or evaluating AI-based testing tools or frameworks.
  </li>
  <li>
   Solid understanding of Agile/Scrum practices and CI/CD pipelines.
  </li>
  <li>
   Strong analytical, debugging, and problem-solving skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 <br/>
 <br/>
 <strong>
  Time Type
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Job Category
  <br/>
  <br/>
 </strong>
 Information Technology
</div>


Senior Software Quality Engineer

<div><p>The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.</p><p></p><p><b><br>
Focus:</b> End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship</p><p><b>
The difference you will make:</b></p><ul><li>
Provide technical leadership, guidance, and mentorship to a team of AI Engineer.</li><li>
Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production.</li><li>
Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans.</li><li>
Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing.</li><li>
Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments.</li><li>
Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation.</li><li>
Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency.</li><li>
Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth.</li><li>
Act as a primary technical point of contact for stakeholders regarding AI solutions.</li><li>
Hands-on contribution to critical code components, architectural design, and complex problem-solving.</li></ul><br>
<b>
Requirements</b><p><b><br>
What you will bring to the role:</b></p><p><b>
Education:</b></p><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.</li></ul><p><b>
Experience:</b></p><ul><li>
8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end.</li></ul><p><b>
Technical Skills:</b></p><ul><li>
Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).</li><li>
Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.</li></ul><ul><li>
In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).</li><li>
Strong architectural skills for building robust, scalable, and maintainable AI infrastructures.</li><li>
Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.</li><li>
Excellent understanding of data engineering principles, data governance, and database technologies.</li><li>
Ability to evaluate and make sound technical decisions on complex trade-offs.</li></ul><p><b>
Soft Skills:</b></p><ul><li>
Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership.</li><li>
Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives.</li><li>
Strong mentoring and coaching skills, with a passion for developing the talents of junior team members.</li><li>
Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships.</li></ul><p></p><p>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</p></div>

ECPI University

<div><p>***This is for day-time faculty***</p>
<p><b>
This position is based at our Virginia Beach, VA campus location</b></p>
<div>
<div><b>Overview</b></div>
<div>ECPI University is seeking a Software Development Faculty Member with deep expertise in AI-augmented development practices to serve as a Subject Matter Expert (SME). This role leads the integration of AI tools, responsible development principles, and modern software engineering practices across the undergraduate software development curriculum &mdash; with a particular focus on preparing students who are new to coding to work productively and ethically alongside AI systems from day one of their careers.</div>
<div></div>
<div><b>Key Responsibilities</b></div>
<ul><li>Serve as institutional SME for AI-augmented software development, guiding curriculum design across the full undergraduate software development program</li>
<li>Design, develop, and refine curriculum covering AI-assisted coding, LLM-based application development, prompt engineering, AI-augmented architecture and design thinking, and responsible/ethical AI development practices</li>
<li>Teach courses at the intersection of software development and artificial intelligence, using real-world tools, scaffolded projects, and industry-aligned case studies accessible to students with no prior coding experience</li>
<li>Model professional AI-augmented development workflows in the classroom &mdash; including AI coding assistants (e.g., GitHub Copilot, Kilo Code), LLM API integration, and prompt-driven design and documentation practices</li>
<li>Incorporate secure coding principles (OWASP Top 10, CWE) into AI-augmented development instruction, helping students understand how AI tools can both introduce and help mitigate software vulnerabilities</li>
<li>Mentor faculty colleagues in adopting AI-augmented pedagogical strategies and tools across software development courses</li>
<li>Collaborate with academic leadership to ensure curriculum reflects current industry expectations for AI-literate software developers</li>
<li>Stay continuously current with advancements in generative AI, agentic coding tools, LLM frameworks, and their evolving roles in professional software development</li>
</ul><div><b>Qualifications</b></div>
<div>Education</div>
<ul><li>Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field OR</li>
<li>Master's degree with 18+ graduate semester hours in the discipline</li>
<li>Ph.D. strongly preferred, particularly with research or applied focus in AI, software engineering, or human-computer interaction</li>
</ul><div>Experience</div>
<ul><li>Demonstrated hands-on expertise in AI-augmented software development (e.g., AI-assisted coding workflows, LLM API development, prompt engineering, agentic development tools)</li>
<li>3&ndash;5 years of relevant industry experience (10+ years preferred), with direct exposure to AI-integrated development environments</li>
<li>Experience designing or delivering curriculum, training, or professional development for beginner-to-intermediate learners</li>
<li>Teaching or mentoring experience preferred, particularly with students new to programming</li>
</ul><div>Technical Skills</div>
<div>Required:</div>
<ul><li>AI-assisted coding tools and workflows (GitHub Copilot, Kilo Code, Cursor, or equivalent)</li>
<li>LLM concepts and application development using LLM APIs (OpenAI, Anthropic, or equivalent)</li>
<li>Prompt engineering principles and patterns for software development contexts</li>
<li>Core software development fundamentals: OOP, data structures, version control, debugging</li>
<li>Secure coding awareness: OWASP Top 10, CWE, AI-introduced vulnerability patterns</li>
</ul><div>Preferred:</div>
<ul><li>Agentic AI frameworks (LangChain, AutoGen, or equivalent)</li>
<li>Cloud AI/ML development services (AWS Bedrock, Azure OpenAI, Google Vertex AI)</li>
<li>AI ethics frameworks and responsible development practices</li>
<li>Full-stack web development with AI integration</li>
<li>AI-augmented architecture and design thinking methodologies</li>
</ul><div>Certifications (Preferred)</div>
<ul><li>GitHub Copilot or GitHub Foundations certification</li>
<li>AWS Certified Developer / Azure Developer Associate</li>
<li>Azure AI Engineer or AWS ML Specialty</li>
<li>Google Professional ML Engineer</li>
<li>Any recognized LLM/generative AI development credential</li>
<li>Certified Scrum Master (CSM) or SAFe Agile practitioner</li>
</ul><div><b>Skills &amp; Abilities</b></div>
<ul><li>Deep expertise in AI-augmented development with ability to scaffold complex concepts for students encountering programming for the first time</li>
<li>Strong curriculum development skills with experience mapping AI competencies to industry frameworks (e.g., NICE Workforce Framework, ACM/IEEE Computing Curricula)</li>
<li>Ability to model professional-grade AI workflows in accessible, confidence-building ways for novice learners</li>
<li>Commitment to responsible AI development &mdash; able to teach both the power and the ethical responsibilities of AI-assisted software creation</li>
<li>Excellent collaboration, communication, and organizational skills</li>
<li>Passion for innovation, instructional excellence, and preparing students for the AI-augmented workforce</li>
</ul><div><b>Benefits</b></div>
<div>ECPI University offers a comprehensive benefits package supporting employee well-being and professional growth.</div>
<div></div>
<div><b>Equal Opportunity Employer</b></div>
<div>ECPI University is an Equal Opportunity Employer. We value diversity and inclusion in our workplace.</div></div></div>

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