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:
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.