Back End Developer

2 days ago

Hyderabad, Telangana, India Cognizant Full time ₹ 6,00,000 - ₹ 18,00,000 per year

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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