Junior Software Engineer (AI & Backend Engineering)

We are looking for a motivated Junior Software Engineer (AI & Backend Engineering) to join our remote engineering team.

In this role, you will contribute to the development of modern backend systems and AI-powered applications. You will work alongside experienced engineers to build APIs, develop AI pipelines, integrate large language models (LLMs), and implement intelligent systems using technologies such as Retrieval-Augmented Generation (RAG) and vector databases.

You will participate in the complete software development lifecycle, from designing and implementing features to testing, debugging, evaluating, and improving application performance.

This is an excellent opportunity for an early-career engineer who wants to develop strong software engineering foundations while gaining practical experience in modern AI engineering.

1. Software & Backend Development

• Design, develop, test, and maintain scalable backend services and web applications.

• Write clean, reusable, efficient, and maintainable code using modern programming languages.

• Develop and integrate RESTful APIs and third-party services.

• Apply object-oriented programming (OOP), data structures, algorithms, and software engineering best practices.

• Work with relational and NoSQL databases to manage application data.

2. AI Engineering & LLM Integration

• Assist in building and integrating AI-powered applications using Large Language Models (LLMs).

• Develop and maintain Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, preprocessing, chunking, embedding generation, retrieval, and response generation.

• Work with vector databases and vector search technologies to store, index, and retrieve semantic information.

• Integrate embedding models, LLM APIs, and AI services into backend applications.

• Help develop prompt templates, structured outputs, tool calling, and context-management workflows.

• Contribute to AI agent workflows and multi-step AI processing pipelines.

3. AI Pipelines, Evaluation & Model Harnesses

• Assist in designing, implementing, and maintaining end-to-end AI pipelines and orchestration workflows.

• Build and maintain model harnesses for testing, comparing, and validating different models and prompts.

• Develop and run AI evaluations (evals) to measure response quality, accuracy, relevance, groundedness, and consistency.

• Create test datasets and evaluation workflows to identify hallucinations, retrieval issues, and model performance gaps.

• Analyze evaluation results and help improve prompts, retrieval strategies, and model configurations.

• Support regression testing to ensure AI application quality remains consistent across updates.

4. AI Infrastructure, Performance & Reliability

• Implement and maintain API rate limiting, request validation, retries, timeouts, and error-handling mechanisms.

• Assist with caching, asynchronous processing, and background jobs for AI workloads.

• Monitor model usage, token consumption, response latency, and API costs.

• Help implement logging, tracing, and observability for backend and AI pipelines.

• Apply security best practices when handling API keys, user data, model inputs, and application access.

• Support deployment, debugging, and performance optimization of AI-powered services.

5. Team Collaboration & Engineering Practices

• Participate in code reviews, sprint planning, daily stand-ups, and technical discussions.

• Collaborate with senior engineers, AI engineers, designers, and product teams.

• Document code, APIs, technical workflows, and AI pipeline configurations.

• Research emerging AI tools, frameworks, models, and software development practices.

• Learn from feedback and continuously improve engineering skills.

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.

• Strong foundational knowledge of computer science, data structures, algorithms, and software engineering principles.

• Programming experience in at least one modern language, such as Python, JavaScript/TypeScript, Java, or C#.

• Understanding of Object-Oriented Programming (OOP) and software design principles.

• Basic experience with backend development, REST APIs, databases, and server-side frameworks.

• Familiarity with Git, GitHub, and collaborative development workflows.

• Understanding of SQL and/or NoSQL databases.

• Basic understanding of LLMs, prompt engineering, embeddings, and AI application development.

• Interest in RAG architectures, vector databases, AI pipelines, and model evaluation.

• Ability to troubleshoot problems, write maintainable code, and learn new technologies quickly.

• Strong communication, problem-solving, and collaboration skills.

• Ability to work independently and effectively in a remote engineering environment.