Entry-Level Software Engineer
$79,800–$91,800 year
HybridChicago, Illinois, United States or New York City, New York, United States
Job Summary
Collaborate with clients and small teams to estimate requirements, develop, test, and deliver software solutions using Python, Java, SQL, and modern web technologies. Architect and manage projects across cloud platforms like AWS, Azure, and Google Cloud, while building AI and Generative AI solutions with RAG, LLMs, and agent frameworks. Sharpen professional communication by presenting findings and demos to senior executives and stakeholders. Work within a hybrid model while engaging in continuous learning and community service. Review every six months with a clear path to promotion every twelve months.
Required Qualifications
- Currently pursuing a bachelor's or master's degree in Management Information Systems (MIS), Computer Science, Computer Engineering or comparable field with an anticipated graduation date between December 2026 and August 2027
- Legally authorized to work for any company in the United States without current or future sponsorship
Desired Qualifications
- software development or relevant internship experience
- Lifelong learners with a passion for technology
- Skilled problem solvers with a proven ability to create innovative solutions
- Flexible and adaptable professionals who thrive as clients, teams and technologies change with each new challenge
- Future technology leaders energized by fast-paced personal and professional growth
- Strong communicators who can explain and present concepts to both technical and non-technical audiences
- Cloud platforms like AWS, Azure, and Google Cloud
- Data Engineering using Databricks and PySpark
- DevOps practices including CI/CD, Docker, and Terraform
- Build AI and Generative AI solutions using RAG, LLMs on Azure OpenAI and AWS Bedrock, prompt engineering, and agent frameworks like LangChain
- developing in Python, Java, SQL, JavaScript, and .NET with exposure to modern web technologies like React and Angular
- Utilize AI strategically to enhance client solutions, incorporating AI tools to streamline development, uncover insights, and accelerate delivery while clearly communicating the value, limitations, and ethical use of AI to clients and stakeholders
- Sharpen your professional communication skills
- Work within a hybrid model
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