Generative AI Engineer

India·Ahmedabad

Generative Ai EngineerData & AI

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Quick Summary

Overview

About the Role We are looking for a passionate and skilled Generative AI Engineer with 1–2 years of experience to join our growing AI and Engineering team.

Technical Tools

Generative Ai EngineerData & AI

About the Role

We are looking for a passionate and skilled Generative AI Engineer with 1–2 years of experience to join our growing AI and Engineering team. The ideal candidate should have hands-on experience working with Large Language Models (LLMs), AI integrations, prompt engineering, and backend/API development. You will work on cutting-edge AI-powered applications including chatbots, document intelligence systems, AI copilots, workflow automation, and enterprise AI solutions.

This role is ideal for someone who enjoys experimenting with AI technologies, building scalable systems, and solving real-world business problems using Generative AI.

Key Responsibilities

Design, develop, and deploy Generative AI applications using modern AI frameworks and APIs.
Build AI-powered chatbots, assistants, RAG (Retrieval-Augmented Generation) systems, and document processing solutions.
Integrate OpenAI, Claude, Gemini, Ollama, or open-source LLMs into web applications and backend systems.
Develop backend APIs and AI orchestration services using Node.js or Python.
Work with vector databases such as Pinecone, FAISS, ChromaDB, or similar technologies.
Implement prompt engineering strategies and optimize prompts for accuracy and performance.
Collaborate with frontend, backend, DevOps, and product teams to deliver AI features.
Participate in AI model evaluations, testing, debugging, and performance optimization.
Research and experiment with emerging AI technologies and frameworks.
Ensure scalability, security, and reliability of AI systems.
Monitor and optimize AI infrastructure and LLM usage costs.
Implement token optimization, caching strategies, model routing, and efficient prompt design to reduce operational costs.
Analyze AI API consumption and recommend cost-effective model selection strategies.
Optimize inference pipelines and resource utilization for scalable AI deployments.

Required Skills

Technical Skills

1–2 years of experience in software development or AI engineering.
Strong knowledge of Python or Node.js.
Experience with Generative AI tools and frameworks:
- LangChain
- LangGraph
- LlamaIndex
- OpenAI APIs
- Anthropic Claude APIs
- Hugging Face
Understanding of:
- RAG architecture
- Embeddings
- Vector databases
- Prompt engineering
- AI workflows/agents
Experience working with REST APIs and microservices.
Familiarity with databases such as PostgreSQL, MongoDB, or Azure SQL.
Basic understanding of cloud platforms such as Azure, AWS, or GCP.
Familiarity with Git, Docker, and CI/CD concepts.

Good to Have

Experience with FastAPI, Next.js, or React.js.
Exposure to AI agents and multi-agent systems.
Experience with Azure OpenAI or local LLM deployment using Ollama.
Experience with Amazon Web Services Bedrock and Microsoft.
Knowledge of document parsing and OCR pipelines.
Understanding of AI security, hallucination mitigation, and evaluation techniques.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, or related field.
Strong problem-solving and analytical skills.
Good communication and collaboration abilities.