N #2665
Applications open
Full-Time Job
Software AI Engineer
SRKay Consulting
About the role
What will you need?
Experience
46 years of relevant experience. 4–6 years of professional software engineering experience (including at least 1 year hands-on experience integrating AI APIs or building LLM-driven features). Core Stack: Solid hands-on experience in Node.js, React, and Nest.js for web application development. Backend & APIs: Experience building microservices, REST APIs, and working with databases (SQL / NoSQL / Vector Stores).
Cloud & DevOps Basics: Familiarity with cloud environments (GCP preferred, or Azure), containerization (Docker, Kubernetes/GKE), and standard CI/CD workflows. AI Ecosystem Knowledge: Practical exposure to AI APIs (Gemini), prompt engineering, vector search, or AI frameworks (LangChain, LangGraph, MCP).
Soft Skills
Good problem-solving skills, strong team collaboration, and eagerness to learn emerging technologies from senior team members.
Preferred Qualifications
- Hands-on experience working with applications on Google Cloud Platform (GCP) .
- Exposure to workflow automation platforms (e.g., n8n).
- Relevant cloud or developer certifications.
Eligibility & process
Who can apply
Experience: 4-6 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
20 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for SRKay Consulting and tech roles.
Technical Placement Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
SRKay Consulting Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for SRKay Consulting and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (REST APIs, Artificial Intelligence, Microservices, Python, React, NestJS, JavaScript, SQL) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
SRKay Consulting Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join SRKay Consulting as a Software AI Engineer?
Highlight SRKay Consulting's market reputation, recent tech innovations, and how your skills in REST APIs directly solve their team's objectives.
Highlight SRKay Consulting's market reputation, recent tech innovations, and how your skills in REST APIs directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Competitive Package (Best in Industry)
Bengaluru, India
Experience: 4-6 Yrs. Open to matching qua…
