# Gen AI Engineer / Applied AI Engineer

> Teleport · Gurugram, India (Hybrid) · — · Posted 2026-04-29

**Workplace:** hybrid

**Department:** Technology

## 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

### Required Skills

### 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.

## Apply

[Apply at Teleport](https://apply.workable.com/teleport-careers/j/3B28D93D2E/apply)

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