Role : AIML Backened Developer
Skill : Generative AI, NLP, LLM, AWS, AIML, Gen AI, AWS, Agentic AI, RAG Implementation
Location : Pune, Hyderabad, Chennai, Bangalore
About the Role :
The ideal candidate should have a solid background in backend development, AI / ML orchestration, and data management , with hands-on experience in Generative AI and Agentic AI frameworks . They will be responsible for building REST APIs , managing data pipelines , and implementing AI / ML solutions such as retrieval-augmented generation (RAG) , intent detection models , and autonomous AI agents to deliver intelligent, production-ready solutions.
Key Responsibilities :
- Backend Development : Design, develop, and maintain REST APIs using Python to integrate AI / ML services.
- Agentic AI Development : Design and orchestrate AI agents capable of reasoning, planning, and executing multi-step tasks by integrating LLMs with APIs, tools, and data sources.
- AI / ML Orchestration : Implement and manage machine learning models, large language models (LLMs), Agentic AI workflows and AI orchestration using Python.
- Generative AI Solutions : Using Generative AI models for tasks like text generation, summarization, conversational AI, and content creation.
- Data Management : Work with structured databases (SQL), graph databases (e.g., CosmosDB), and unstructured data stores (e.g., Elasticsearch).
- RAG Implementation : Build retrieval-augmented generation (RAG) pipelines leveraging Azure AI Search, AWS OpenSearch, or other vector databases for contextual responses.
- Data Pipelines : Design and manage robust data ingestion and transformation pipelines to feed AI models.
- Intent Detection & NLU : Develop or integrate intent detection models and natural language understanding (NLU) solutions to enhance conversational AI.
- Prompt Engineering & Optimization : Create and optimize prompts for LLMs to improve response quality and reduce latency.
- AI Integration : Collaborate with frontend and product teams to embed Gen AI features into enterprise applications.
Required Skills :
Backend Development : Proficient in Python for building and maintaining scalable REST APIs, familiarity with integrating AI services.AI / ML Orchestration : Strong expertise in Python with a focus on machine learning, large language models (LLMs), AI orchestration.Agentic AI Expertise : Experience in building autonomous AI agents using frameworks like OpenAI Functions, or custom orchestration solutions to handle tool use and multi-step reasoning.Generative AI Expertise : Generative AI models (text generation, summarization, conversational AI) and applying prompt engineering techniques.Data Management : Solid understanding of structured (SQL), graph (CosmosDB), and unstructured (Elasticsearch) databases; ability to design efficient data access patterns for AI workloads.RAG Implementation : Proven experience implementing retrieval-augmented generation using Azure AI Search, AWS OpenSearch, or other vector databases.