QualificationBachelor in Engineering / B.Tech / MCA or equivalent
Key Responsibilities
Code Development & Maintenance: Write clean, highly performant, and easily maintainable source code to support existing and next-generation application features.
AI Components Integration: Under structured engineering mentorship, construct, test, and actively refine AI pipelines using foundational APIs, LLM architectures, and prompt engineering methods.
Bug Resolution: Systematically identify runtime code anomalies, execute root-cause analyses, and implement clean structural bug fixes to keep applications optimized.
Rigorous Software Testing: Perform robust unit testing, integration verification, and user acceptance tracking to ensure software dependability.
Technical Documentation: Contribute extensively to application functional specifications, tracking records, and user manuals to maintain end-to-end transparency.
Skills & Eligibility
Educational Profile: Regular full-time Bachelor’s Degree in Engineering (B.E / B.Tech) or Master of Computer Applications (MCA) or equivalent 3-year tertiary tech qualifications.
Python Fundamentals: Practical programming capability in Python scripting, core data handling modules, and general logic architectures.
Database Frameworks: Foundational mastery of basic SQL query languages alongside Oracle PL/SQL development structures.
API Systems: Clear structural comprehension of API integrations, web service pathways, and basic response methods.
Prompt Engineering: Basic exposure to prompt tuning methods, logical prompt experimentation, or AI chat modeling rules.
Agile Methodologies: Understanding of everyday Scrum operations, sprints, and ticket-tracking procedures within an engineering lifecycle.
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