Engineering Trainee

Blackbuck Insights (BBI); Bengaluru; On-site; INR 420,000 - 540,000; Full time

Job summary

Blackbuck Insights (BBI) invites fresh graduates for the Engineering Trainee role in Bengaluru. You'll work on Cloud, Data, and AI-powered enterprise solutions under mentorship, gaining hands-on project exposure and fast-tracking your career in a high-growth environment.

You will code in Python/Java/C/C++, learn modern data stack/tools, and contribute across the software and data lifecycle while collaborating with engineers and stakeholders in a performance-driven setup.

Qualifications

• 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).

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.
• 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.

Skills

Python

Java

C/C++

SQL

OOA/OOD

Algorithms

Data structures

Problem solving

Communication

Education

B.E.

B.Tech

B.C.A

M.E.

M.Tech

M.C.A

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 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. 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.