Gen AI Engineer

Evnek Technologies Pvt Ltd; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Evnek Technologies Pvt Ltd in Bengaluru seeks an experienced Generative AI Engineer with a strong data background and hands-on GenAI expertise. The candidate should have delivered multiple GenAI solutions and possess practical knowledge of RAG, agentic AI, and enterprise data integration.

Role demands design and deployment of scalable GenAI products, API and backend development, and collaboration with Data Engineering/Data Science teams to identify valuable use cases. Immediate joiner preferred.

Qualifications

• 6–15 years of IT experience with GenAI focus.
• Hands-on with GenAI, RAG, and agentic AI work.
• Experience delivering GenAI-based projects or products.
• Background in data engineering, data science, analytics, or Python.

Responsibilities

• Design, develop, and deploy scalable GenAI solutions for enterprise use cases.
• Build and optimize RAG pipelines using LLMs and data sources.
• Develop agentic AI solutions with autonomous reasoning and tool use.
• Create AI agents and multi-agent workflows for complex processes.
• Integrate LLMs with structured and unstructured data.
• Collaborate with data teams to identify GenAI use cases.
• Develop APIs and backend services to support GenAI apps.
• Fine-tune and optimize LLMs for accuracy and latency.
• Implement vector search, embeddings, and semantic retrieval.
• Ensure GenAI apps follow security, governance, and responsible AI practices.
• Deliver GenAI projects end-to-end from design to production.

Skills

Generative AI

RAG

Agentic AI

LLM deployment

Python

Data engineering

Tools

LangChain

LangGraph

LlamaIndex

Pinecone

FAISS

Chroma

Weaviate

Milvus

Job description

Notice Period: Immediate JoinersPreferred

Job Overview

We are looking for an experienced Generative AI Engineerwith a strong background in data and hands-on expertise in modern AItechnologies. The ideal candidate should have previously worked as a DataAnalyst, Data Engineer, Data Scientist, or Python Developer and should havesuccessfully designed and delivered multiple Generative AI solutions.

The candidate must have practical experience in GenerativeAI, Retrieval-Augmented Generation (RAG), and Agentic AI, with a proven trackrecord of delivering at least 3–5 GenAI-based projects or products.

Key Responsibilities

• Design, develop, and deploy scalable Generative AI solutionsfor business and enterprise use cases.
• Build and optimize RAG (Retrieval-Augmented Generation)pipelines using LLMs and enterprise data sources.
• Develop Agentic AI solutions capable of autonomousreasoning, planning, decision-making, and tool usage.
• Design and implement AI agents and multi-agent workflows forcomplex business processes.
• Integrate Large Language Models (LLMs) with structured andunstructured enterprise data.
• Work closely with Data Engineering, Data Science, andbusiness teams to identify and develop AI use cases.
• Develop APIs and backend services to support GenAIapplications and products.
• Evaluate, fine-tune, and optimize LLM performance foraccuracy, relevance, latency, and scalability.
• Implement vector search, embeddings, and semantic retrievalsolutions.
• Ensure GenAI applications follow best practices related tosecurity, governance, scalability, and responsible AI.
• Take ownership of the end-to-end delivery of GenAI projectsfrom solution design through production deployment.

Required Skills

• 6–15 years of overall IT experience.
  
• Strong previous experience in one or more of the followingroles:
  
• Data Engineer or Data Scientist or Data Analyst

Python Developer

• Strong hands-on programming experience in Python.
  
• Hands-on experience with Generative AI and Large LanguageModels (LLMs).
  
• Strong practical experience in:
  
• Retrieval-Augmented Generation (RAG)
  

Agentic AI

• AI Agents and Multi-Agent Systems
  
• Prompt Engineering
  
• Embeddings and Semantic Search
  
• Vector Databases
  
• Experience with GenAI frameworks such as LangChain,LangGraph, LlamaIndex, or similar frameworks.
  
• Experience working with LLMs such as OpenAI GPT models,Claude, Llama, Gemini, or other open-source/commercial models.
  
• Experience with vector databases such as Pinecone, FAISS,Chroma, Weaviate, Milvus, or similar.
  
• Strong understanding of data processing, data pipelines,APIs, and databases.
  
• Experience deploying AI/ML or GenAI applications intoproduction environments.
  
• Knowledge of cloud AI platforms such as AWS Bedrock, AzureOpenAI, Google Vertex AI, or similar is preferred.
  

Mandatory Experience

• Must have successfully delivered at least 3–5 GenerativeAI-based projects or products.
• Demonstrated hands-on experience in building and deployingRAG-based applications.
• Demonstrated hands-on experience with Agentic AI or AI Agentworkflows.
• Strong data background with previous experience in DataEngineering, Data Science, Data Analytics, or Python Development.