Entry Level Junior Software Developer Jobs
New grad junior software developer jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings mix on-site, remote, and hybrid settings across Technology & Software, Staffing & Recruiting, and Healthcare & Medical Services, with employers like Canonical, Medpace, and Collabera hiring at this level now.
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Showing 5 of 35+ Entry Level Junior Software Developer jobs
Position Summary
We are seeking a motivated Junior Generative AI & Agentic AI Developer to join our team in Plano, TX. This role focuses on designing, developing, and supporting AI-powered enterprise applications using Generative AI, Large Language Models (LLMs), and Agentic AI technologies.
The ideal candidate will have hands-on experience or strong interest in building AI applications using LLM frameworks, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and cloud-based AI services. The candidate will collaborate with application developers, business stakeholders, and AI engineers to deliver intelligent automation solutions that improve enterprise productivity and business processes.
This position is ideal for a fast learner who is passionate about emerging AI technologies and wants to grow expertise in Generative AI application development, AI agents, and enterprise AI solutions.
Key Responsibilities
- Design, develop, and maintain Generative AI applications using Python and modern AI frameworks.
- Develop AI-powered enterprise solutions leveraging Large Language Models (LLMs), including OpenAI, Azure OpenAI, Amazon Bedrock, or similar AI platforms.
- Build Retrieval-Augmented Generation (RAG) solutions using enterprise data sources, vector databases, embeddings, and knowledge retrieval techniques.
- Design and develop Agentic AI workflows that enable autonomous task execution, reasoning, planning, and tool utilization.
- Develop AI agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar agent orchestration technologies.
- Perform prompt engineering and optimize LLM responses for accuracy, reliability, and business use cases.
- Integrate Generative AI capabilities into existing enterprise applications through REST APIs and backend services.
- Develop AI-powered chatbots, copilots, and intelligent automation solutions.
- Support integration of AI models with business systems, databases, and enterprise platforms.
- Design and implement API services using Python frameworks such as FastAPI or Flask.
- Develop data processing pipelines for AI applications, including data preparation, transformation, and indexing.
- Work with relational databases and vector databases to support AI knowledge management solutions.
- Support AI model evaluation, testing, monitoring, and continuous improvement.
- Assist with deployment and operation of AI applications in cloud environments.
- Participate in MLOps/LLMOps activities including CI/CD automation, model lifecycle management, and application monitoring.
- Collaborate with application developers, DevOps engineers, and business teams to deliver AI-driven solutions.
- Troubleshoot application issues and improve system performance and reliability.
- Document AI solutions, architecture, development processes, and operational procedures.
- Participate in Agile/Scrum ceremonies, sprint planning, and technical discussions.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent professional experience.
- Working knowledge of Python programming language.
- Understanding of Generative AI concepts, Large Language Models (LLMs), and AI application development.
- Experience or academic/project exposure with LLM-based application development.
- Understanding of Retrieval-Augmented Generation (RAG) architecture and AI knowledge retrieval concepts.
- Familiarity with prompt engineering techniques and LLM response optimization.
- Basic understanding of AI Agent concepts, including workflow automation, reasoning, and tool integration.
- Experience with REST API development and integration.
- Understanding of database concepts including SQL, data modeling, and data processing.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Exposure to AI/ML frameworks and libraries such as LangChain, PyTorch, TensorFlow, or similar technologies.
- Basic knowledge of software development practices including Git, version control, and code reviews.
- Understanding of DevOps concepts including CI/CD pipelines and containerization (Docker preferred).
- Experience working with Linux environments.
- Strong problem-solving skills and ability to learn emerging technologies quickly.
- Excellent verbal and written communication skills.
Performance Expectations
- Develop and deploy enterprise Generative AI applications that improve business productivity.
- Build reliable AI Agent workflows capable of automating business processes.
- Design effective RAG solutions using enterprise knowledge sources.
- Improve LLM application accuracy through prompt engineering and evaluation.
- Create scalable AI application architectures and reusable AI components.
- Collaborate effectively with business users and technical teams to deliver AI solutions.
- Continuously learn and apply emerging AI technologies to enterprise use cases.
Preferred Qualifications
- Experience developing enterprise Generative AI applications or AI automation solutions.
- Hands-on experience with Agentic AI frameworks such as LangGraph, AutoGen, CrewAI, or similar technologies.
- Experience with cloud AI services such as:
- Amazon Bedrock
- Azure OpenAI Service
- AWS SageMaker
- Azure AI Studio
- Experience with vector databases such as:
- FAISS
- ChromaDB
- Pinecone
- OpenSearch Vector Engine
- Experience building AI-powered chatbots, copilots, or intelligent assistants.
- Knowledge of Java/Spring Boot enterprise application development.
- Experience with enterprise system integration and application operations.
- English-Korean bilingual communication skills.
Pay Range: $70,000/year ~ $101,000/year
Benefits: Medical, dental, and vision insurance; 401(k) retirement plan; paid sick leave; life, accidental death & dismemberment (AD&D), and long-term disability (LTD) insurance; and optional voluntary life/AD&D coverage. Benefits are subject to eligibility and applicable plan terms.
We’re committed to creating a workplace where employees feel valued, supported, and empowered to grow. Our team benefits from competitive compensation, comprehensive health and wellness offerings, and opportunities for professional development. We are proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.
We comply with all applicable federal, state, and local employment laws, including those related to fair hiring practices, pay transparency, workplace safety, and reasonable accommodations. We are dedicated to maintaining an inclusive environment where everyone has the opportunity to succeed and contribute meaningfully.
Position Summary
We are seeking a motivated Junior Generative AI & Agentic AI Developer to join our team in Plano, TX. This role focuses on designing, developing, and supporting AI-powered enterprise applications using Generative AI, Large Language Models (LLMs), and Agentic AI technologies.
The ideal candidate will have hands-on experience or strong interest in building AI applications using LLM frameworks, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and cloud-based AI services. The candidate will collaborate with application developers, business stakeholders, and AI engineers to deliver intelligent automation solutions that improve enterprise productivity and business processes.
This position is ideal for a fast learner who is passionate about emerging AI technologies and wants to grow expertise in Generative AI application development, AI agents, and enterprise AI solutions.
Key Responsibilities
- Design, develop, and maintain Generative AI applications using Python and modern AI frameworks.
- Develop AI-powered enterprise solutions leveraging Large Language Models (LLMs), including OpenAI, Azure OpenAI, Amazon Bedrock, or similar AI platforms.
- Build Retrieval-Augmented Generation (RAG) solutions using enterprise data sources, vector databases, embeddings, and knowledge retrieval techniques.
- Design and develop Agentic AI workflows that enable autonomous task execution, reasoning, planning, and tool utilization.
- Develop AI agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar agent orchestration technologies.
- Perform prompt engineering and optimize LLM responses for accuracy, reliability, and business use cases.
- Integrate Generative AI capabilities into existing enterprise applications through REST APIs and backend services.
- Develop AI-powered chatbots, copilots, and intelligent automation solutions.
- Support integration of AI models with business systems, databases, and enterprise platforms.
- Design and implement API services using Python frameworks such as FastAPI or Flask.
- Develop data processing pipelines for AI applications, including data preparation, transformation, and indexing.
- Work with relational databases and vector databases to support AI knowledge management solutions.
- Support AI model evaluation, testing, monitoring, and continuous improvement.
- Assist with deployment and operation of AI applications in cloud environments.
- Participate in MLOps/LLMOps activities including CI/CD automation, model lifecycle management, and application monitoring.
- Collaborate with application developers, DevOps engineers, and business teams to deliver AI-driven solutions.
- Troubleshoot application issues and improve system performance and reliability.
- Document AI solutions, architecture, development processes, and operational procedures.
- Participate in Agile/Scrum ceremonies, sprint planning, and technical discussions.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent professional experience.
- Working knowledge of Python programming language.
- Understanding of Generative AI concepts, Large Language Models (LLMs), and AI application development.
- Experience or academic/project exposure with LLM-based application development.
- Understanding of Retrieval-Augmented Generation (RAG) architecture and AI knowledge retrieval concepts.
- Familiarity with prompt engineering techniques and LLM response optimization.
- Basic understanding of AI Agent concepts, including workflow automation, reasoning, and tool integration.
- Experience with REST API development and integration.
- Understanding of database concepts including SQL, data modeling, and data processing.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Exposure to AI/ML frameworks and libraries such as LangChain, PyTorch, TensorFlow, or similar technologies.
- Basic knowledge of software development practices including Git, version control, and code reviews.
- Understanding of DevOps concepts including CI/CD pipelines and containerization (Docker preferred).
- Experience working with Linux environments.
- Strong problem-solving skills and ability to learn emerging technologies quickly.
- Excellent verbal and written communication skills.
Performance Expectations
- Develop and deploy enterprise Generative AI applications that improve business productivity.
- Build reliable AI Agent workflows capable of automating business processes.
- Design effective RAG solutions using enterprise knowledge sources.
- Improve LLM application accuracy through prompt engineering and evaluation.
- Create scalable AI application architectures and reusable AI components.
- Collaborate effectively with business users and technical teams to deliver AI solutions.
- Continuously learn and apply emerging AI technologies to enterprise use cases.
Preferred Qualifications
- Experience developing enterprise Generative AI applications or AI automation solutions.
- Hands-on experience with Agentic AI frameworks such as LangGraph, AutoGen, CrewAI, or similar technologies.
- Experience with cloud AI services such as:
- Amazon Bedrock
- Azure OpenAI Service
- AWS SageMaker
- Azure AI Studio
- Experience with vector databases such as:
- FAISS
- ChromaDB
- Pinecone
- OpenSearch Vector Engine
- Experience building AI-powered chatbots, copilots, or intelligent assistants.
- Knowledge of Java/Spring Boot enterprise application development.
- Experience with enterprise system integration and application operations.
- English-Korean bilingual communication skills.
Pay Range: $70,000/year ~ $101,000/year
Benefits: Medical, dental, and vision insurance; 401(k) retirement plan; paid sick leave; life, accidental death & dismemberment (AD&D), and long-term disability (LTD) insurance; and optional voluntary life/AD&D coverage. Benefits are subject to eligibility and applicable plan terms.
We’re committed to creating a workplace where employees feel valued, supported, and empowered to grow. Our team benefits from competitive compensation, comprehensive health and wellness offerings, and opportunities for professional development. We are proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.
We comply with all applicable federal, state, and local employment laws, including those related to fair hiring practices, pay transparency, workplace safety, and reasonable accommodations. We are dedicated to maintaining an inclusive environment where everyone has the opportunity to succeed and contribute meaningfully.
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Find JobsEntry Level Junior Software Developer Job Market
Who's Hiring
- Canonical14
- Medpace2
- Collabera2
- BTI Solutions2
- BeaconFire2
Top Industries Hiring
- Technology & Software25
- Staffing & Recruiting2
- Healthcare & Medical Services2
- Consulting & Professional Services2
- Construction & Real Estate1
Entry Level Junior Software Developer Jobs: Frequently Asked Questions
How do I get an entry level junior software developer job?
Entry level junior software developer roles typically look for candidates who can demonstrate working code, not just coursework. A GitHub portfolio with two or three completed projects, a capstone from a bootcamp, or a finished internship gives hiring managers something concrete to evaluate. Applying to companies that list internship experience as equivalent to a degree requirement, or that explicitly welcome new grads, gives you the strongest starting point.
Which companies hire entry level junior software developers?
Companies hiring entry level junior software developers right now include Canonical, Medpace, and Collabera, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide range of employers, including startups building out their first engineering teams, mid-size technology companies with structured onboarding programs, and enterprise organizations with dedicated new grad cohorts.
Are there remote entry level junior software developer jobs?
Yes, though remote availability varies by employer and role type. About 52% of entry level junior software developer openings are remote or hybrid as of September 2026, so candidates have real flexibility in where they work. Hybrid roles are common among employers who prefer in-person onboarding before moving to a remote setup.
Are these new grad junior software developer jobs?
Yes, these listings include new grad, recent graduate, and junior roles alongside other entry level openings. A posting is new-grad friendly when it welcomes zero to two years of experience, counts internships or academic projects toward the requirement, or explicitly asks for a portfolio in place of professional history. If a role lists no minimum years required, it is almost always open to a new grad applicant.
Which industries hire the most entry level junior software developers?
Entry Level junior software developer roles concentrate in Technology & Software, Staffing & Recruiting, and Healthcare & Medical Services, based on current listings on Migrate Mate as of September 2026. Those sectors hire at this level consistently because they staff growing engineering teams with junior developers who can contribute quickly under senior guidance while building toward more specialized roles.