Engineering Trainee

Job Description Engineering Trainee Location: Schaumburg (5 days’ work-from-office) Experience: Freshers (2025 - 2026 batch) Qualification: UG/PG (CS/IT or related fields) Employment Type: Full-time About Blackbuck Insights (BBI) Headquartered in Schaumburg, Illinois with offices across India and Canada, BBI is a technology consulting firm that helps enterprises modernize data ecosystems and accelerate digital transformation through Data Engineering, Cloud, Analytics, AI, and Enterprise Technology solutions. We foster a culture of innovation, collaboration, and continuous learning—where you work alongside experienced professionals to solve meaningful business challenges. The Role As a Trainee Engineer, you will build real-world enterprise solutions using cutting-edge Cloud, Data, and Agentic AI technologies. You'll receive dedicated mentorship, gain hands-on project exposure, and fast-track your career in a high-growth, performance-driven environment. Eligibility Criteria Qualification: UG/PG in Computer Science, IT, or related technical disciplines. Batch: 2025 & 2026 graduates. Academic Score: Minimum CGPA 3.0 (no backlogs). Candidates must be legally authorized to work in the United States Requirements 2025 and 2026 Undergraduates or Postgraduates in Computer Science, Information Technology, or related technical disciplines. Minimum aggregate of CGPA 3.0 in graduation/post-graduation. Sound programming skills in Python, Java, C/C++, or SQL, with hands-on coding experience. Solid understanding of core Computer Science fundamentals: object-oriented design and analysis (OOA/OOD), algorithm design, data structures, debugging, and analytical reasoning. Passion for software development best practices, clean code, and developing innovative ideas. Interest, curiosity, and openness to learning modern data stack tools and AI frameworks on the fly. Demonstrable track record of handling ambiguous or undefined problems, prioritizing tasks, thinking abstractly, and delivering results in a dynamic environment. Ability to work independently and multi-task effectively under performance-driven conditions. Excellent verbal, written, and interpersonal communication skills to effectively articulate technical challenges and solutions to both business and engineering stakeholders. Proficiency with MS Office tools and developer productivity suites. Willingness to work 5 days a week from our Schaumburg office location. Responsibilities Involvement across the full software and data development lifecycle - including requirements gathering, system architecture, coding, testing, documentation, deployment, ongoing optimization, and maintenance for both internal initiatives and global client engagements. Gain hands-on exposure to Large Language Models (LLMs), prompt engineering, fine-tuning concepts, and LLM orchestration tools. Assist in designing and deploying autonomous AI agents and multi-agent workflows to automate enterprise processes. Adhere to AI safety guidelines, ethical AI practices, data privacy controls, and token/compute cost optimization (FinOps). Execute full lifecycle application development, translating functional specifications into robust technical designs and well-architected code. Perform software analysis, requirements analysis, system risk evaluations, code metrics identification, and software reliability testing. Integrate software components, third-party APIs, and application modules into fully functional enterprise systems. Develop software verification plans, quality assurance procedures, system layouts, flowcharts, and technical documentation. Investigate, debug, and resolve issues in production and application environments. Participate in specification and peer code reviews to ensure alignment with architectural guidelines, security benchmarks, and quality standards. Collaborate in agile teams, provide project status updates, and continuously adapt to shifting project priorities in high-pressure scenarios. Help build and maintain scalable, fault-tolerant, low-cost distributed storage, indexing, and query structures across modern cloud lakehouse frameworks. Develop, test, and schedule automated data transformation pipelines and ETL/ELT workflows to process structured and unstructured data at scale. Maintain high engineering standards including clean, modular, and self-sustaining code, unit testing, continuous integration/continuous deployment (CI/CD), version control, and release management. Good To Have Previous technical internship experience in software development, data engineering, or AI/ML domains. Industry certifications in Python, Java, SQL, Database Management Systems Cloud Platforms or Data/AI Engineering. Why Join BBI? Mentor to guide your deliverables, provide feedback, and accelerate your growth. Work with modern Cloud, Data Analytics, and Agentic AI platforms. Collaborative, fast-paced, and innovation-driven environment with measurable business impact. Real-world project ownership and continuous learning opportunities from day one.