AI Senior Soft ware engineer

We are Hiring opening positions for AI Senior Software engineers, AI -Full-stack developers .

For More information call HR : Riyazy ,8106063400.

Note : Candidate please apply who are holding minimum 5 years experience in Handling AI - driven solutions...AI Experience is mandatory

Location: Hyderabad

Experience: 5-10 years

Qualification: Bachelor of Engineering (B.E.)

Skill: Digital Artificial Intelligence (AI)

Job Role: Agentic Ai Senior Engineer , AI Full stack developers,

Role Overview:

Job Summary

We are looking for an experienced Senior Full Stack Developer AI to design, develop, and deploy scalable web applications integrated with Artificial Intelligence (AI), Machine Learning (ML), and Generative AI capabilities.

The ideal candidate should have strong expertise in front-end and back-end development, API integration, cloud technologies, and AI-powered application development. Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and vector databases is highly desirable.

Key Responsibilities

- Design, develop, and maintain scalable full-stack web applications.

- Build responsive user interfaces using React.js, Angular, or Vue.js.

- Develop robust backend services using Python, Node.js, Java, or .NET.

- Integrate AI/ML models and Generative AI capabilities into enterprise applications.

- Develop LLM-powered applications using OpenAI, Azure OpenAI, or other foundation models.

- Implement Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.

- Develop AI agents and workflow automation using frameworks such as LangChain and LangGraph.

- Design and implement RESTful APIs and microservices.

- Work with SQL and NoSQL databases for efficient data storage and retrieval.

- Deploy and manage applications on AWS, Microsoft Azure, or Google Cloud Platform.

- Implement authentication, authorization, data security, and application monitoring.

- Optimize application performance, scalability, reliability, and AI response quality.

- Collaborate with product managers, data scientists, AI engineers, and cross-functional teams.

- Participate in code reviews, testing, debugging, CI/CD, and production support.

Required Technical Skills

1. Front-End Development

- React.js, Angular, or Vue.js

- JavaScript, TypeScript, HTML5, CSS3

- Responsive web design and state management

- UI/UX integration and front-end performance optimization

2. Back-End Development

- Python, Node.js, Java, or .NET/C#

- REST APIs and microservices architecture

- API integration, asynchronous programming, and authentication

- Strong object-oriented programming and design principles

3. AI / Generative AI

- Large Language Models (LLMs)

- Open AI API, Azure Open AI, or equivalent LLM platforms

- Prompt engineering and structured outputs

- Retrieval-Augmented Generation (RAG)

- Embeddings, semantic search, and document processing

- AI frameworks such as Lang Chain, Lang Graph,

- Vector databases such as Pinecone, Chroma, or FAISS

- AI agent development and tool/function calling

4. Database Technologies

- PostgreSQL, MySQL, or SQL Server

- MongoDB or other NoSQL databases

- Vector databases and similarity search

- Database design, query optimization, and data modeling

5. Cloud and DevOps

- AWS, Azure, or GCP

- Docker and Kubernetes

- Git, GitHub, GitLab, or Bitbucket

- CI/CD pipelines

- Application deployment, logging, monitoring, and troubleshooting

6. Testing and Security

- Unit testing and integration testing

- Automated testing frameworks

- Secure API development

- OAuth 2.0, JWT, and role-based access control

- Responsible handling of sensitive data and AI-generated outputs

Mandatory Skills

- Strong full-stack development experience.

- Hands-on experience with at least one modern front-end framework.

- Strong backend programming experience in Python, Node.js, Java, or .NET.

- Experience designing and integrating REST APIs.

- Practical experience integrating AI/LLM capabilities into applications.

- Experience with SQL/NoSQL databases and cloud deployment.

- Strong debugging, problem-solving, and communication skills.

Good-to-Have Skills

- Experience with AI agents and multi-agent workflows.

- Knowledge of Model Context Protocol (MCP).

- Experience with LangGraph, LlamaIndex, or similar orchestration frameworks.

- Familiarity with MLOps and LLMOps.

- Experience with LLM

Eligibility:

B.E./B.Tech or equivalent qualification.

5-10 years of relevant experience in AI/ML or related technologies.