About the Role

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

- Build AI-powered chatbots, assistants, RAG (Retrieval-Augmented Generation) systems, and document processing solutions.
- 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.
- Positive communication and collaboration abilities.

📌 Generative Ai Engineer (Ahmedabad)
🏢 mobio solutions
📍 Ahmedabad