Generative AI Engineer

Evnek; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Evnek is seeking a highly skilled Generative AI Engineer to design, develop, and deploy end-to-end GenAI solutions for enterprise use cases in Bengaluru. The role emphasizes hands-on work with LLMs, RAG, Agentic AI, and AI services, with a focus on production-grade deployments and cloud platforms.

The candidate should excel in Python programming, prompt engineering, and integrating GenAI with enterprise data sources, APIs, and vector databases.

Qualifications

• Hands-on GenAI development for enterprise use cases.
• Experience with production-grade GenAI deployments.
• Strong Python programming skills and API development.

Responsibilities

• Design, develop, and deploy end-to-end GenAI solutions for enterprise use cases.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Develop LLM workflows, AI Agents, and Agentic AI solutions.
• Work with LLMs such as OpenAI/Azure OpenAI, Claude, Gemini, Llama, or equivalent models.
• Design effective prompt engineering strategies and optimize LLM responses.
• Implement document ingestion, chunking, embeddings, retrieval, reranking, and response-generation pipelines.
• Develop APIs and AI services using Python and FastAPI/Flask.
• Work with Vector Databases such as Pinecone, FAISS, Chroma, Weaviate, or Azure AI Search.
• Integrate GenAI solutions with enterprise data sources, applications, databases, and APIs.
• Implement LLM evaluation, guardrails, monitoring, security, and responsible AI practices.
• Deploy and manage GenAI applications on Azure, AWS, or GCP.
• Optimize AI solutions for accuracy, scalability, latency, reliability, and cost.
• Collaborate with business stakeholders, architects, data engineers, and AI teams to deliver production-ready solutions.

Skills

Python

LLMs

RAG

Prompt Engineering

AI Agents

Agentic AI

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Vector Databases

REST APIs

Tools

FastAPI/Flask

Azure OpenAI

AWS Bedrock

Vertex AI

Docker

Git

CI/CD

Pinecone

FAISS

Chroma

Weaviate

Job description

Generative AI Engineer

Experience: 4-12 Years

Location: Bengaluru

Notice Period: Immediate Joiners Only

Employment Type: Full-Time

Job Description

We are looking for a highly skilled Generative AI Engineer with hands-on experience in building and deploying production-grade GenAI solutions. The ideal candidate should have strong expertise in LLMs, RAG, Agentic AI, AI Agents, Python, prompt engineering, and vector databases.

Key Responsibilities

• Design, develop, and deploy end-to-end Generative AI solutions for enterprise use cases.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Develop LLM workflows, AI Agents, and Agentic AI solutions.
• Work with LLMs such as OpenAI/Azure OpenAI, Claude, Gemini, Llama, or equivalent models.
• Design effective prompt engineering strategies and optimize LLM responses.
• Implement document ingestion, chunking, embeddings, retrieval, reranking, and response-generation pipelines.
• Develop APIs and AI services using Python and FastAPI/Flask.
• Work with Vector Databases such as Pinecone, FAISS, Chroma, Weaviate, or Azure AI Search.
• Integrate GenAI solutions with enterprise data sources, applications, databases, and APIs.
• Implement LLM evaluation, guardrails, monitoring, security, and responsible AI practices.
• Deploy and manage GenAI applications on Azure, AWS, or GCP.
• Optimize AI solutions for accuracy, scalability, latency, reliability, and cost.
• Collaborate with business stakeholders, architects, data engineers, and AI teams to deliver production-ready solutions.

Required Skills

• 4-12 years of overall technology experience with strong hands-on experience in Generative AI.
• Strong programming expertise in Python.
• Hands-on experience with LLMs, RAG, Prompt Engineering, AI Agents, and Agentic AI.
• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks.
• Strong understanding of embeddings, vector search, semantic search, and vector databases.
• Experience integrating LLM APIs and enterprise data sources.
• Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent AI platforms.
• Knowledge of FastAPI/Flask, REST APIs, Docker, Git, and CI/CD.
• Experience taking GenAI solutions from POC to production.
• Strong analytical, debugging, and problem-solving skills.

Good to Have

• Experience with LLMOps/MLOps and AI observability.
• Knowledge of multi-agent architectures and advanced Agentic AI frameworks.
• Experience with fine-tuning, model evaluation, hallucination reduction, and RAG optimization.
• Understanding of AI security, data privacy, governance, and responsible AI.

Requirements

Key Skills: GenAI | Generative AI | LLM | RAG | Agentic AI | AI Agents | Python | Prompt Engineering | LangChain | LangGraph | Vector Database | Azure OpenAI | AWS Bedrock | Vertex AI | LLMOps