AI/ML Developer

TestHiring; Chennai District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

TestHiring is actively seeking a senior AI engineer to design, develop, and deploy Generative AI and LLM-powered applications. You will build scalable backend services with Python and FastAPI, and craft RESTful APIs and microservices for AI workloads.

The role requires proficiency in TypeScript or Python, and experience with LangChain, LlamaIndex, and RAG strategies. You will collaborate across teams to deliver production-grade AI solutions and follow CI/CD practices.

Qualifications

• 5+ years of overall experience, incl 2+ years in Generative AI and Large Language Model (LLM) application development.
• 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.

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.

Skills

Generative AI

LLM development

Python

TypeScript

LangChain

LlamaIndex

RAG

Pinecone

ChromaDB

FAISS

Weaviate

NLP concepts

Embeddings

Transformer models

Git

CI/CD pipelines

Documentation

Education

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

Tools

FastAPI

AWS Bedrock

SageMaker

Azure OpenAI

Vertex AI

Job description

TestHiring is a smart online candidate evaluation platform designed for recruiters, HR teams, and hiring managers seeking efficiency, fairness, and accuracy in their hiring. With early screening via automated ranking and unbiased scoring, TestHiring helps identify top talent in less time.

Join us at TestHiring to revolutionize how your hiring works—faster, fairer, and more cost-effective. Discover more on our Product, Features, and Resources pages, or explore our Blog for insights on skills-based recruitment.

Job Description

• 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, includingZero-shot, Few-shot, Chain-of-Thought (CoT), and Function Calling.
• Build Retrieval-Augmented Generation (RAG) solutions using vector databases such asPinecone, 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 AIsolutions.
• Follow software engineering best practices, including version control (Git), CI/CDpipelines, and technical documentation.

Requirements

• Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, ora related discipline.
• 5+ years of overall experience, including a minimum of 2 years of hands-on experience inGenerative AI and Large Language Model (LLM) application development and at least 1year 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.