Live opening · Posted 16 days ago
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About Us
Saasta Software & Services is a startup focused on building innovative digital products and AI-powered solutions. The company delivers innovative, 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)
Work arrangement
No
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