Back End Developer

Cognizant

0 years

0 Lacs

hyderabad telangana india

Posted:1 day ago| Platform:

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Skills Required

developer ai aws development ml orchestration data rest retrieval design python reasoning planning learning summarization content sql azure engineering openai elasticsearch

Work Mode

On-site

Job Type

Full Time

Job Description

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:

backend development, AI/ML orchestration, and data management

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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