Generative AI Engineer

Mobio Solutions Pvt. Ltd.; Ahmedabad District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Mobio Solutions Pvt. Ltd. is seeking a Generative AI Engineer with 1-2 years of hands-on experience to join our AI and Engineering team.

You will work on AI-powered applications including chatbots, document intelligence, and enterprise AI solutions, integrating various LLMs and building scalable backend services. You will design and deploy AI solutions, implement prompt engineering, and collaborate with frontend, backend, and DevOps teams to deliver cost-efficient, secure, and reliable AI

Qualifications

• 1–2 years of software or AI engineering experience.

Responsibilities

• Design, develop, and deploy Generative AI applications using modern AI frameworks and APIs.
• Build AI-powered chatbots, assistants, and document processing solutions.
• Integrate OpenAI, Claude, Gemini, Ollama, or open-source LLMs into web and backend systems.
• Develop backend APIs and AI orchestration services using Node.js or Python.
• Work with vector databases like Pinecone, FAISS, ChromaDB or similar.
• Implement prompt engineering strategies and optimize prompts for accuracy and cost.
• Collaborate with frontend, backend, DevOps, and product teams to deliver AI features.
• Participate in AI model evaluations, testing, and performance optimization.
• Research emerging AI technologies and frameworks.

Skills

Python

Node.js

RAG architecture

Embeddings

Vector databases

Prompt engineering

AI workflows/agents

Education

Bachelor’s degree in Computer Science or related field

Tools

LangChain

LangGraph

LlamaIndex

OpenAI APIs

Anthropic Claude APIs

Hugging Face

Ollama

Job description

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.