Back End Developer

2 days ago

hyderabad district, India Cognizant Full time

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.

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