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Applications open Full-Time Job

Full Stack and AI Context Engineer

Cartrade tech ltd

  • India (Remote / Multiple), India
  • Competitive Package
  • Fresher (0-1 Yrs)
  • Posted Today
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About the role

Company Description CarTrade Tech Ltd. is a multi-channel auto platform that serves diverse vehicle segments and value-added services across India. Operating through well-known brands such as CarWale, CarTrade, Shriram Automall, BikeWale, CarTrade Exchange, Adroit Auto, and AutoBiz, the company connects customers with new and used vehicles.

Role Description This is a full-time, on-site Full Stack and AI Context Engineer role based in Kakinada. The role involves designing, developing, and maintaining scalable web applications across the full stack, including front-end interfaces and back-end services. The engineer will build and integrate AI-driven features, focusing on model deployment, context handling, harness, and performance optimization for automotive use cases.

Daily responsibilities include collaborating with product and data teams, implementing APIs, managing databases, and ensuring reliable, secure, and maintainable code. The role also requires monitoring system performance, troubleshooting issues, and contributing to architecture and technical decisions that improve customer and partner experiences.

Roles you can apply

  • Senior Team Lead / Engineering Lead: 15 Lakhs to 30 Lakhs
  • Senior Engineer: 10 Lakhs to 20 Lakhs
  • Junior Engineer: 5 Lakhs to 15 Lakhs

Qualifications

  • Strong foundation in Software Development, including data structures, and algorithms.
  • Proficiency in full stack development (e.g., JavaScript/TypeScript, modern front-end frameworks, server-side technologies, and relational/non-relational databases).
  • Comfort with cloud platforms, containerization, and CI/CD pipelines for scalable and reliable application delivery.
  • Effective communication skills and ability to collaborate in cross-functional teams in an on-site environment.
  • Experience or Knowledge in AI Agents, Models, and MCP-Server is a must
  • Demonstrative Experience in MySQL/PostgreSql and MongoDB is must
  • Experience with basic Linux commands is a must
  • Experience in PHP highly preferred

Preference of Selection A person with enough experience OR a Fresher with fast-self-learning capabilities with good communication skills

Eligibility & process

Who can apply

Seniority: Entry level. Employment type: Full-time

Skills & stack

JavaScript TypeScript PHP PostgreSQL MySQL MongoDB CI/CD Linux

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
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 (JavaScript, TypeScript, PHP, PostgreSQL, MySQL, MongoDB, CI/CD, Linux) & 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 Cartrade tech ltd 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 Cartrade tech ltd as a Full Stack and AI Context Engineer?
Highlight Cartrade tech ltd's market reputation, recent tech innovations, and how your skills in JavaScript 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).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Cartrade tech ltd Competitive Package
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