AI/ML Developer ( Generative AI and Agentic AI)

Pixelcode Technologies India; Chennai District; On-site; INR 350,000 - 600,000; Full time

Job summary

Pixelcode Technologies India is seeking an AI/ML Developer to build production-grade Generative AI applications, including RAG solutions, AI agents, APIs and scalable backend services, with strong Python development experience.

The role requires 2+ years GenAI/LLM development and 1 year Agentic AI experience, plus hands-on work with LangChain, vector databases and modern AI tooling to deliver end-to-end AI systems.

Qualifications

• 2+ years of GenAI/LLM development experience.
• 1 year of Agentic AI experience.
• Strong Python development skills for production-grade AI apps.

Responsibilities

• Develop production-grade Generative AI applications.
• Build Agentic AI solutions and multi-step AI workflows.
• Design, deploy and maintain RAG architectures.
• Implement Retrieval-Augmented Generation (RAG) and vector database integrations.
• Develop REST APIs and microservices for enterprise use.
• Apply prompt engineering and CI/CD best practices.

Skills

Python

Generative AI

LLMs

Agentic AI

RAG

APIs

scalable backend

FastAPI

LangChain

LlamaIndex

vector databases

embeddings

NLP

transformer models

AWS Bedrock

SageMaker

Azure OpenAI

Google Vertex AI

REST APIs

microservices

Git

CI/CD

testing

production-grade AI

RAG architectures

prompt engineering

Zero-shot

Few-shot

CoT

Function Calling

multi-step workflows

Tools

LangChain

LlamaIndex

Pinecone

ChromaDB

FAISS

Weaviate

FastAPI

AWS Bedrock

SageMaker

Azure OpenAI

Vertex AI

Job description

AI/ML Developer Generative AI & Agentic AI(3 to 5 years Experience)

We are looking for an experienced AI/ML Developer with strong hands-on expertise in Generative AI, Large Language Models (LLMs) and Agentic AI. The role will focus on building production-grade AI applications, including RAG solutions, AI agents, APIs and scalable backend services, with strong Python development experience.

Key Skills & Responsibilities

• Strong hands-on development experience in Python, Generative AI and LLM-based applications.
• Minimum 2 years of hands-on GenAI/LLM development and 1 year of Agentic AI experience.
• Design, develop and deploy production-grade Generative AI applications.
• Build Agentic AI solutions and multi-step AI workflows for business use cases.
• Design and implement Retrieval-Augmented Generation (RAG) architectures.
• Strong experience with Prompt Engineering, including Zero-shot, Few-shot, CoT and Function Calling.
• Develop scalable AI backend services using Python and FastAPI.
• Experience with LangChain, LlamaIndex or similar LLM application frameworks.
• Work with vector databases such as Pinecone, ChromaDB, FAISS or Weaviate.
• Hands-on knowledge of embeddings, NLP and transformer-based models.
• Experience integrating AI solutions with AWS Bedrock/SageMaker, Azure OpenAI or Google Vertex AI.
• Experience developing REST APIs, microservices and integrating AI services with enterprise applications.
• Strong understanding of Git, CI/CD, testing, deployment and software engineering best practices.
• Proven experience deploying AI solutions in real-world production environments, with the ability to explain architecture, implementation, use cases and business outcomes.
• Strong analytical, debugging, problem-solving and stakeholder collaboration skills.