Teleport

Gen AI Engineer, Applied AI Engineer

Teleport

full-time

Posted on:

Location Type: Hybrid

Location: Gurugram • India

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Tech Stack

CloudETLGoogle Cloud PlatformMicroservicesNoSQLPythonSQL

About the role

  • Build real-world AI powered solutions on Google Cloud Platform
  • Apply Generative AI to solve data-oriented problems
  • Automate product workflows
  • Simplify complex business processes
  • Work on intelligent systems using RAG (Retrieval Augmented Generation), AI agents, and data pipelines
  • Design and implement production-grade Gen AI applications
  • 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
  • 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
  • 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
  • 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
  • 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

  • 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
  • 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
  • Prompt engineering and evaluation techniques
  • Embeddings and vector search concepts
  • Handling hallucinations and improving answer accuracy
  • API integration and microservices communication
  • 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
  • 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
Benefits
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonGenerative AIRAG architecturesVertex AIGeminiAI agentsCloud RunSQLNoSQLprompt engineering
Soft Skills
problem-solvingownership mindsetexperimentation attitudeadaptabilityinterest in AI applications