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Software Engineer

Fresh Platter

  • Bengaluru, India
  • Competitive Package
  • 3-5 Years
  • Posted Today
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About the role

India is the world's second-largest producer of fruits and vegetables, and loses over a lakh crore rupees of it every year between the farm and the shelf. Fresh Platter exists to fix that – not with an app, but by running the supply chain ourselves and engineering every step of it. We are hiring software engineers to build the brains of that system.

About Fresh Platter

Fresh Platter is a technology-driven fresh-produce supply-chain company, founded in Bengaluru in 2022. Every day we source from farms, then ripen, grade, pack and deliver fresh produce, using technology and data to improve quality, ensure consistent supply, minimise wastage and bring predictability to pricing. Around 100 people run the chain end to end, and the business is profitable.

We are also building our own machines and systems, because the bottlenecks we find in our operations cannot be fixed with software alone. Our harvest-handling rig cut bruising from around 30% to around 3%. Systems for farm selection, field scanning, produce movement and a fully automated packhouse are in build and design, with IISc and partner engineering firms. Five patent applications are filed.

Everything is built in three layers: a physical layer that moves and conditions produce, a sensing layer that reads its state, and an intelligence layer that decides what happens next and learns from the result. The crop changes. The architecture stays.

The role

We are building a high-quality software engineering team to own the sensing and intelligence layers, and the applications that run the business around them. You will join an existing team under our Tech Manager, and you will be expected to raise its bar, not just fill a seat.

We build with a new generation of AI-assisted development tools, seriously and every day. A small, sharp team here ships what used to need a large one. We will train you from your first week. If you already use these tools, good. If you have never touched one, that is fine – what we need is the raw ability to learn fast, think clearly and get things done.

What you will build

Machines and sensing

  • The software that configures and controls our machines – reading their sensors, turning that data into decisions, and sending the right instructions back.
  • The data path from sensor to screen: collection, storage, monitoring and alerts.
  • Prototype-to-production work with our mechanical engineers, IISc and partner teams, tested on real machines in a real packhouse.

Products and applications

  • The applications that run the chain: farm sourcing and procurement, ripening, grading and packing, inventory, logistics, quality and farm-to-customer traceability.
  • Dashboards and alerts so teams see problems as they happen, not in next month's report.
  • Integrations with the systems we already run – accounting, projects, mail and messaging – so data is captured once and flows wherever it is needed.

AI-driven automation

  • Automation of the repetitive work across procurement, accounts and operations – checking purchase orders and vendor bills against their supporting documents, reconciliations, reporting and follow-ups.
  • AI agents that read documents, emails and system records, decide what to do and act on it, with a person approving where it matters.

Engineering practice

  • Own what you ship after it goes live – monitoring, fixes and improvements.
  • Work across the stack: front end, back end, APIs, databases, device communication and data pipelines.
  • Write tests, review code, deploy safely and document what you build.
  • If you join with experience, help set the team's engineering standards and mentor the engineers who join after you.

Who we are looking for

  • B.E. or B.Tech in Computer Science, Information Technology, Electronics and Communication, Electronics and Telecommunication, Electrical and Electronics, or a closely related engineering stream.
  • 0 to 4 years of experience. Freshers with a strong academic record and engineers who have shipped production software are both welcome. Title and responsibility will match experience.
  • Solid programming fundamentals and problem-solving skills in at least one language.
  • A working understanding of databases, web applications and APIs, and the ability to debug code you did not write.
  • Someone who learns fast, goes deep rather than skimming, works around obstacles and stays steady when priorities change – humble enough to be trained from scratch, confident enough to question what does not make sense.
  • You do not need to be from a top-tier college.

What to know before you apply

This is an on-site role at our facility in Cheemasandra, Bengaluru East, six days a week, with no remote or hybrid option – the machines you will work on are here. The team is lean, problems rarely arrive with neat specifications, and the hours are long. This is not a comfortable job. It is the fastest way we know to become an exceptionally capable engineer.

Why join us

  • Your code runs real machines and a real supply chain the moment it is ready – no release queues, no waiting months to see your work in use.
  • Patented systems co-developed with IISc and engineering firms, not another CRUD app.
  • Learn AI-assisted development in your first job, not your fifth.
  • Real ownership from your first month, working close to a founder who spent 18+ years in software and data systems before building this company.
  • Grow as fast as you can prove yourself. We hire on potential and promote on delivery.

What success looks like

  • Within 3 months, you are shipping features to production on your own.
  • Within 6 months, you own one or more of our products end to end.
  • Within 12 months, you can take any problem in the business and build the software that solves it.

The details

  • Location: Cheemasandra, Bengaluru East, Karnataka
  • Work mode: On-site, six days a week
  • Employment type: Full-time
  • Experience: 0 to 4 years (freshers welcome)
  • Openings: Up to 2
  • Reports to: Tech Manager

Eligibility & process

Who can apply

Seniority: Entry level. Employment type: Full-time

Skills & stack

Next.js Data Structures & Algorithms Python/Java System Design SQL REST APIs Docker Git

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 (Next.js, Data Structures & Algorithms, Python/Java, System Design, SQL, REST APIs, Docker, Git) & 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 Fresh Platter 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 Fresh Platter as a Software Engineer?
Highlight Fresh Platter's market reputation, recent tech innovations, and how your skills in Next.js 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.
Fresh Platter Competitive Package
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