Engineering Trainee

Job_Description":"

**Engineering Trainee

**Location: Bengaluru (5 days work-from-office)

**Experience: Fresher (2025 2026 batches)

**Qualification: B.E / B.Tech / B.C.A / M.E / M.Tech / M.C.A (CS/IT or related fields)

**Employment Type : Full-time

**About Blackbuck Insights (BBI)

Headquartered in Chicago 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 learningwhere 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. Youll receive dedicated mentorship, gain hands-on project exposure, and fast-track your career in a high-growth, performance-driven environment.

**Eligibility Criteria

• Qualification: B.E / B.Tech / B.C.A / M.E / M.Tech / M.C.A in Computer Science, IT, or related technical disciplines.

• Batch: 2025 or 2026 graduates.

• Academic Score: Minimum 70% aggregate or CGPA 7.0 (no backlogs).

  ****Requirements:

  • Undergraduates or Postgraduates (2025 2026 batch) in Computer Science, Information Technology, or related technical disciplines.

  • Minimum aggregate of 70% marks or CGPA 7.0 (no backlogs) 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 Bengaluru 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.**********************

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