Associate Engineer
Description
Hiring for a client
Job Details
Role: Associate Engineer AI, Data & Digital Engineering
Job Type: Full time
Location: Hyderabad
CTC: 4.2 LPA
Bond / Service Agreement: 2 years
Application form: https://forms.gle/qbQicSkNYm5czNtD7
Eligibility Criteria
Education: B.Tech / BE / M.Tech / MCA / M.E / BCA
Departments: CSE, IT, MCA, ECE, BCA
Pass-out Year: 2026 / 2025
Degree %: More than 80%
Intermediate %: More than 80%
10th %: More than 80%
Skills Required
Mandatory Skills: Python, SQL, LLM, AI/ML, MLflow, RAG, REST APIs, DSA
Optional Skills: AWS
Interview Process
Interview Process: Offline: Company Screening -> Technical Round 1 -> Technical Round 2 -> Managerial Round -> Online Coding Round -> HR
Interview Mode: Offline
Work Schedule
Working Days: 5 days a week
Additional Points
The interview process will be in offline mode.
Candidate should be okay with this.
Introductory Round: Candidates will be having an offline drive in Hyderabad for this opportunity.
Round 1: Assessment (Offline)
Round 2: Technical Interview 1 (Offline)
Round 3: Technical Interview 2 ( Offline)
Round 4: MR ( offline )
Mandatory Technical Skills
Strong programming fundamentals in at least one programming language, such as Python, Java, C++, or
JavaScript.
Proficient in Data Structures & Algorithms and Object-Oriented Programming.
Proficient in Concepts of Knowledge Graph as Data Structures.
Good logical reasoning, analytical thinking, debugging, and problem-solving skills.
Basic knowledge of SQL and database concepts.
Familiarity with Git or version control.
Ability to understand technical requirements and explain project work clearly.
Good-to-Have Skills
Exposure to any of the following will be an advantage, but none of these are mandatory:
Python, Java, C++, JavaScript, or TypeScript.
Gen AI, Claude Code/ Gemini, Graph Neural Network, Prompts Engineering, MCP, RAG.
Web development, REST APIs, or backend development.
SQL databases, data engineering, or data pipelines.
Software testing, API testing, or test automation.
AI/ML, Generative AI, or LLM-based applications.
Cloud platforms such as AWS, Google Cloud, or Microsoft Azure.
Linux, Docker, CI/CD, or DevOps fundamentals.
Hackathons, coding platforms, open-source contributions, or relevant technical projects.
Candidate should have good communication skills.
Candidate should be open for 2 years bond duration (non-negotiable).
