About Us

Saasta Software & Services is a startup focused on building innovative digital products and AI-powered solutions. The company delivers creative, scalable, and reliable digital solutions that help organizations operate efficiently and grow confidently. Saasta emphasizes simple, secure, and adaptable technology designed for a rapidly evolving digital landscape.

Role Overview

We are looking for a passionate AI Developer with 5+ years of overall experience, including a minimum of 2 years of hands-on experience in Generative AI and Large Language Model (LLM) application development and at least 1 year of experience in Agentic AI. The ideal candidate should possess strong expertise in Python/TypeScript, RESTful APIs, and LLM orchestration frameworks such as Lang Chain and LlamaIndex.

Experience in prompt engineering, vector databases, and cloud AI platforms, with a strong foundation in NLP and scalable microservices architecture.

Key Responsibilities

- Design, develop, and deploy Generative AI and LLM-powered applications
- Develop scalable backend services using Python and FastAPI
- Build and integrate RESTful APIs and microservices for AI applications
- Strong proficiency in TypeScript or Python for AI-driven backend development
- Develop AI solutions using LLM orchestration frameworks such as LangChain, LlamaIndex, or similar frameworks
- Design and optimize prompts using advanced prompt engineering techniques, including Zero-shot, Few-shot, Chain-of-Thought (CoT), and Function Calling
- Build Retrieval-Augmented Generation (RAG) solutions using vector databases such as Pinecone, ChromaDB, FAISS, or Weaviate
- Integrate AI applications with cloud AI platforms, including AWS Bedrock, SageMaker,



Azure OpenAI, or Google Vertex AI
- Apply NLP concepts, embeddings, and transformer models to solve business problems
- Collaborate with cross-functional teams to deliver scalable, production-ready AI solutions
- Follow software engineering best practices, including version control (Git), CI/CD pipelines, and technical documentation

Technical Skills

Candidates must have hands-on experience in the following:

- Python
- Generative AI (GenAI)
- Large Language Models (LLMs)
- Prompt Engineering
- FastAPI
- Agentic AI

Note

Candidates must have applied the above technologies in real-time production projects and should be able to demonstrate their implementation experience, architecture, use cases, and business outcomes during the interview.

Preferred Technical Skills

- TypeScript (Good to Have)
- LangChain
- LlamaIndex
- REST API Development
- GraphQL
- Microservices Architecture
- Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate)
- AWS Bedrock / Amazon SageMaker
- Azure OpenAI
- Google Vertex AI
- NLP, Embeddings, and Transformer Models
- Git and CI/CD

Preferred Qualifications

Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related discipline.

5+ years of overall experience, including a minimum of 2 years of hands-on experience in Generative AI and Large Language Model (LLM) application development and at least 1 year of experience in Agentic AI

Strong analytical, debugging, and problem-solving skills

Excellent communication and collaboration skills

Ability to manage project work independently

Passion for AI innovation, continuous learning, and emerging technologies

Location: WFO / On-site (Chennai)

📌 AI Developer (Salem)
🏢 Saasta Software u0026 Services
📍 Salem