🏢 docs.google.com
Associate Engineer – AI, Data & Digital Engineering
💼 Fulltime
📍 Hyderabad, Telangana
🛠 Skills Required
Python
Java
C++
JavaScript
Data Structures & Algorithms
Object Oriented Programming
Knowledge Graphs
SQL
Git
REST APIs
Logical Reasoning
Debugging
Problem Solving
Communication
Generative AI
LLMs
Prompt Engineering
Graph Neural Networks
MLflow
Cloud (AWS/GCP/Azure)
Linux
Docker
CI/CD
DevOps
Software Testing
API Automation
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Don't miss this opportunity!
Apply before 22 Jan 2027 — only 84 days left
Creator Pick · Promoted by Creator
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📚 Free Study Materials (4)
Placement Papers for Top Tech Companies
Curated set of placement papers that help candidates practice the type of questions asked in AI and software engineering interviews.
Open Resource ↗
Interview Experiences and Process Insights
First‑hand accounts of interview rounds, difficulty levels, and preparation tips for roles similar to the Associate Engineer position.
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Comprehensive Interview Preparation Guide
A step‑by‑step guide covering DSA, system design, and AI fundamentals to ace technical interviews.
Open Resource ↗
Algorithm Practice Problems
Extensive problem set for honing coding skills, data structures, and algorithmic thinking required for the coding round.
Open Resource ↗
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🎯
Don't miss this opportunity!
Apply before 22 Jan 2027 — only 84 days left
Creator Pick · Promoted by Creator
🏆 Selection Process
Round 1: Company Screening → Round 2: Offline Assessment / Coding Round → Round 3: Technical Interview – Round 1 → Round 4: Technical Interview – Round 2 → Round 5: Managerial Round → Round 6: HR Round
🏢 Work Culture
Docs.google.com (Google) is known for a collaborative, innovation‑driven culture where engineers are encouraged to experiment and ship at scale. Employees benefit from clear growth ladders, generous learning budgets, and a strong emphasis on work‑life balance, with flexible hours and wellness programs.
🎤 Interview Experience
Google interviews typically consist of an initial screening, followed by multiple technical rounds focusing on data structures, algorithms, system design, and AI/ML concepts. The difficulty is high, with emphasis on problem‑solving speed and clear communication. Candidates should practice coding on a whiteboard, articulate their thought process, and be ready for behavioral questions in the final HR round.
✅ Eligibility Criteria
Degree: B.Tech/B.E., M.Tech/M.E., MCA, BCA. Branches: Computer Science (CSE), Information Technology (IT), MCA, Electronics & Communication (ECE), BCA. Academic: Minimum 80% in 10th, Intermediate, and Degree. Eligible batches: 2025 and 2026 pass‑outs. No active backlogs allowed at the time of joining. Must be willing to serve a non‑negotiable 2‑year service agreement and relocate to Hyderabad for the offline recruitment drive.
📋 About the Role
Agivant Technologies is a fast‑growing product engineering firm that partners with leading ed‑tech and technology platforms to deliver AI‑driven solutions. Headquartered in Hyderabad, the company has built a reputation for leveraging cutting‑edge machine learning, generative AI, and data engineering to solve real‑world business problems. With a culture that encourages continuous learning, Agivant invests heavily in upskilling its talent through collaborations with training partners such as NxtWave, ensuring that fresh engineers are ready to contribute from day one.
The role of Associate Engineer – AI, Data & Digital Engineering is designed for recent graduates who are passionate about artificial intelligence, data pipelines, and full‑stack development. As an entry‑level engineer, you will work alongside senior data scientists, software architects, and product managers to design, develop, and deploy intelligent services that power Agivant’s client offerings. The position offers exposure to a wide spectrum of technologies—from core programming languages and data structures to cloud platforms and generative AI models—making it an ideal launchpad for a career in AI and software engineering.
**Key Responsibilities**
1. Develop clean, efficient code in Python, Java, C++ or JavaScript to implement AI and data processing modules.
2. Design and optimise data structures, including knowledge graphs, to support complex query and inference workloads.
3. Build and maintain SQL queries and database schemas for reliable data storage and retrieval.
4. Participate in end‑to‑end development of data pipelines, integrating ETL processes with cloud services.
5. Collaborate with cross‑functional teams to define API contracts and implement RESTful services.
6. Conduct unit testing, debugging, and performance profiling to ensure high‑quality deliverables.
7. Contribute to version‑control workflows using Git and follow CI/CD best practices.
8. Assist in the creation of documentation, technical specifications, and project demos for stakeholders.
9. Stay updated with emerging AI trends such as generative models, RAG, and prompt engineering, and propose proof‑of‑concepts.
10. Participate actively in hackathons, open‑source contributions, and internal tech talks to foster a culture of innovation.
**Tech Stack**: Python, Java, C++, JavaScript, Data Structures & Algorithms, OOP, Knowledge Graphs, SQL, Git, REST APIs, AWS/GCP/Azure, Docker, Linux, CI/CD, MLflow, Generative AI frameworks (Claude, Gemini), Graph Neural Networks.
**Growth Path**: Starting as an Associate Engineer, high performers can progress to Senior Engineer, Lead Engineer, and eventually AI/ML Architect roles within 3‑5 years, with opportunities to lead product modules and mentor new hires.
**Why Join Agivant**: The company offers a competitive CTC of ₹4.2 LPA, a structured 2‑year service agreement that guarantees exposure to high‑impact projects, and a vibrant learning environment backed by NxtWave’s curriculum. Freshers get hands‑on experience with industry‑grade AI tools, cloud infrastructure, and real client engagements, positioning them for rapid career advancement in the booming AI sector.
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📋 Quick Info
JOB ID
C2699-J281
POSTED
53m ago
TYPE
Fulltime
BATCH
All Batches
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