Gen AI Engineer / Applied AI Engineer

Teleport; Gurugram District; On-site; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Opportunity to work on real production Gen AI systems

Hands-on experience with Vertex AI & Gemini ecosystem

Job summary

A leading tech company is seeking a Gen AI Engineer to develop AI-powered solutions on Google Cloud Platform. In this hands-on role, you'll work with Generative AI, focusing on building intelligent systems and automating workflows. Ideal candidates will have 2-5 years of experience, strong Python skills, and hands-on experience with Generative AI tools. Join us to impact business workflows through innovative AI solutions!

Qualifications

• Minimum 2 years of experience in Python programming.
• Hands-on experience with Generative AI tools for at least 2 years.
• Experience in deploying services using Cloud Run or APIs.

Responsibilities

• Design and implement Generative AI applications using Vertex AI.
• Develop data ingestion pipelines for AI consumption.
• Automate product workflows and operational processes using AI.

Skills

Python programming

Generative AI tools

Data models understanding

RAG architecture implementation

AI agents orchestration

Tools

Google Cloud Platform

Vertex AI

Gemini models

Job description

About The Role

We are looking for a hands-on Gen AI Engineer to build real-world AI powered solutions on Google Cloud Platform. The role focuses on applying Generative AI to solve data-oriented problems, automate product workflows, and simplify complex business processes. You will work on building intelligent systems using RAG (Retrieval Augmented Generation), AI agents, and data pipelines — not just simple API integrations. The role requires both software engineering and practical AI problem-solving skills. This is an applied engineering role where you will design and implement production-grade Gen AI applications rather than research-only experimentation.

Tech Environment

• Google Cloud Platform (GCP)
• Vertex AI & Gemini Models
• Python
• RAG Architectures
• Cloud Run deployments
• Data stores (SQL / NoSQL / Vector DBs)
• Gen AI Agents & workflow automation

Key Responsibilities

• Gen AI Solution Development
  • Design and implement Generative AI applications using Vertex AI and Gemini
  • Build RAG pipelines integrating structured and unstructured data
  • Develop AI agents for workflow automation and task orchestration
  • Create intelligent assistants and automated decision systems
• Data & Retrieval Systems
  • Design data ingestion pipelines for AI consumption
  • Work with embeddings, vector search, and knowledge retrieval
  • Integrate databases, document stores, and business data sources into AI workflows
  • Improve response quality using prompt design, retrieval logic, and evaluation
• Product & Business Automation
  • Automate product flows and operational processes using AI agents
  • Build systems that assist internal teams in data analysis and decision-making
  • Develop solutions to simplify business workflows and reduce manual operations
• Cloud Deployment & Integration
  • Deploy AI services on GCP (Cloud Run / APIs)
  • Integrate AI features with backend services and applications
  • Optimize cost, latency, and reliability of Gen AI workloads
• Problem Solving
  • Use Gen AI techniques to solve complex algorithmic and data processing problems
  • Evaluate model outputs and continuously improve performance
  • Create reusable AI frameworks and utilities

Requirements

• Core Skills
  • Strong Python programming (minimum 2 years)
  • Hands-on experience with Generative AI tools (minimum 2 years)
  • Good understanding of data models and data processing
  • Practical implementation of RAG architectures
  • Experience using Vertex AI or similar cloud AI platforms
  • Working knowledge of Gemini / LLM APIs
  • Understanding of AI agents and orchestration concepts
• Cloud & Systems
  • Experience with GCP services (preferred)
  • Deploying services using Cloud Run or containerized APIs
  • Working with databases and data stores (SQL/NoSQL)
  • Handling large datasets and document collections
• AI Engineering Knowledge
  • Prompt engineering and evaluation techniques
  • Embeddings and vector search concepts
  • Handling hallucinations and improving answer accuracy
  • API integration and microservices communication
• What We Expect From You
  • Ability to build complete GenAI solutions, not just call APIs
  • Strong debugging and problem-solving mindset
  • Interest in applying AI to real business problems
  • Ownership mindset and experimentation attitude
  • Ability to learn and adapt quickly in a fast-evolving AI ecosystem
• Good to Have
  • Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
  • Experience with LangChain, LlamaIndex, or agent frameworks
  • Knowledge of NLP fundamentals
  • Experience building chatbots or AI assistants
  • Exposure to data pipelines or ETL systems
  • Experience optimizing LLM cost and latency

Experience

2 - 5 years total experience (At least 2 years hands-on with Python and 2 years working with Generative AI tools/platforms).

Benefits

• Why Join Us
  • Opportunity to work on real production Gen AI systems
  • Build AI automation impacting business workflows
  • Hands-on experience with Vertex AI & Gemini ecosystem
  • Work on challenging data and algorithmic problems

Important Note

This role requires practical implementation experience. Candidates who have only completed courses or theoretical certifications in AI without building working applications may not be suitable.