Engineering Trainee - US

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.