L #2839
Applications open
Full-Time Job
Backend Engineer (Python)
NYAI
About the role
Python Engineer
NYAI Technologies Pvt. Ltd. is looking for a Python Engineer to join our technology team in Pune.
NYAI builds AI-powered legal intelligence and infrastructure designed to make legal workflows more accurate, explainable, and accountable. Our platform combines advanced AI engineering with legal expertise to support research, document workflows, and enterprise-grade AI deployments.
Explore more about us: https://nyai.ai/
Location: Pune
Work Mode: Onsite | 5 days a week
Experience: 3-5 years
Employment Type: Full-time
What You'll Do
- Design, develop, test, and maintain backend applications using Python
- Build and consume RESTful APIs
- Write clean, maintainable, and well-documented code
- Work with product, frontend, and data teams to translate requirements into solutions
- Optimize applications for performance, scalability, and reliability
- Debug production issues and implement long-term fixes
- Participate in code reviews and technical discussions
- Contribute to architectural decisions and technical standards
What We're Looking For
- 3-5 years of hands-on experience with Python in production environments
- Strong understanding of Data Structures, Algorithms, and OOP
- Experience with Django, Flask, or FastAPI
- Good understanding of REST APIs, HTTP protocols, and JSON
- Experience with PostgreSQL / MySQL and basic query optimization
- Familiarity with Django ORM or SQLAlchemy
- Experience with Git and CI/CD workflows
Good to Have: AWS/GCP/Azure, Docker, microservices, RabbitMQ/Kafka, and pytest/unittest.
Why Join Nyai?
- Opportunity to work on real-world, scalable systems
- High ownership and decision-making exposure
- Direct collaboration with founders and senior engineers
- Competitive compensation based on experience
Interested? Apply now or share this opportunity with someone who might be a great fit.
#Hiring #PythonDeveloper #PythonEngineer #BackendDeveloper #PythonJobs #PuneJobs #TechJobs #Hiring #Nyai
Eligibility & process
Who can apply
Seniority: Entry level. Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
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 NYAI 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
NYAI Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for NYAI 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 (Python, Django, FastAPI, Flask, REST APIs, Microservices, PostgreSQL, MySQL) & 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
NYAI 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 NYAI as a Backend Engineer (Python)?
Highlight NYAI's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight NYAI's market reputation, recent tech innovations, and how your skills in Python 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
Pune, India
Seniority: Entry level. Employment type: …
