CyberCraft

We are looking for a Middle Full-Stack Software Engineer with 3–5 years of commercial experience to help maintain and modernize a large-scale software platform.

Requirements:

• 3+ years of experience in full-stack software development.
• Strong proficiency in Java and Spring Boot.
• Experience with React.js and/or Next.js.
• Hands-on experience with SQL and RESTful APIs.
• Experience with Grails and/or MongoDB is a plus.
• Experience with software engineering best practices, including code reviews, testing, source control, and CI/CD workflows.
• Comfortable working across the full stack, handling both backend services and front-end/UI changes independently
• Experience using AI-assisted coding tools (e.g., Claude Code or similar).
• Experience with dependency management and monitoring tools is a plus.
• Strong understanding of object-oriented programming principles.
• Excellent communication and collaboration skills.
• Experience working in an Agile environment.

• Availability for 1–2 hours of overlap with U.S. Central Time (9:00 AM — 5:00 PM CT)

   

Key Responsibilities

• Own routine platform maintenance, ensuring systems remain secure, stable, and up to date.
• Review, test, and implement dependency and library updates.
• Perform third-party service upgrades and validate integrations after releases.
• Investigate and resolve production issues identified through monitoring tools.
• Monitor releases to detect regressions and maintain platform stability.
• Contribute to long-term modernization initiatives, including framework migrations and technical debt reduction.
• Develop clean, efficient, and maintainable code across both backend and frontend.
• Participate in code reviews to ensure high code quality and adherence to engineering best practices.
• Troubleshoot, optimize, and resolve complex software issues.
• Collaborate with distributed team members across time zones and maintain clear technical documentation.

We are looking for a Data Engineer with 3+ years of commercial experience to help build and scale a modern data platform. In this role, you will work on developing and maintaining data pipelines, creating data models, and ensuring data quality and reliability.

Requirements:

• 3+ years of experience in data engineering or backend development.
• Experience with Java development
• Strong knowledge of SQL and database technologies.
• Hands-on experience with ETL/ELT processes and data modeling.
• Understanding of modern data architectures (data lakes, data warehouses).
• Experience with cloud platforms (AWS, GCP, or Azure) is a plus.
• Experience with big data technologies (e.g., Spark, Kafka, Hadoop) is a plus.
• Experience integrating AI/analytics solutions into data workflows is a plus.
• Understanding of software engineering best practices, including testing, CI/CD, and version control.
• Strong problem-solving and communication skills.
• Ability to collaborate effectively in a distributed team environment.
• Availability for 1–2 hours of overlap with U.S. Central Time business hours (9:00 AM — 5:00 PM CT).

• Experience working in an Agile environment.

   

Key Responsibilities

• Build and maintain scalable ETL/ELT pipelines and data architectures.
• Develop and optimize data models for analytics and reporting needs.
• Integrate data processing and analytics solutions to improve data workflows.
• Translate business and technical requirements into reliable data solutions.
• Implement data quality checks and monitor pipeline performance.
• Troubleshoot data issues and improve reliability and scalability.
• Participate in code reviews and follow data engineering best practices.
• Work with cloud services and data processing tools to optimize performance and costs

We are looking for an AI/ML Engineer to build and scale AI-powered solutions for real-world use cases. This is a hands-on role focused on developing agentic systems, RAG pipelines, fine-tuning workflows, and production-grade LLM integrations.

Requirements

• 4+ years of commercial development experience (Python is a plus)
• Experience building real AI/ML applications
• Strong understanding of modern AI/ML workflows and LLM ecosystems
• Hands-on experience with ML frameworks such as TensorFlow or PyTorch (JAX is also acceptable)
• Experience with LLM APIs (OpenAI, Claude, etc.)
• Understanding of RAG pipelines and AI workflows
• Experience with APIs and third-party integrations
• Basic prompt engineering skills
• Good communication skills
• Comfortable working in a fast-paced environment

Nice to have

• Experience with LoRA, QLoRA, adapters, or other fine-tuning approaches
• Experience with LLM frameworks such as LangChain or LlamaIndex
• Experience working with clients or enterprise systems
• Background as an AI Engineer, ML Engineer, or Data Scientist

Responsibilities

• Build AI-powered features using LLMs (Claude, OpenAI, etc.)
• Develop and optimize RAG pipelines
• Create AI agents and autonomous workflows
• Fine-tune and adapt ML/LLM models for specific use cases
• Integrate AI solutions into products via APIs
• Collaborate with the team and clients to deliver production-ready solutions