Roles & Responsibilities Design, build, and maintain AI/ML-powered applications in Python Develop LLM-based features such as document understanding, summarisation, extraction, and conversational assistants for insurance workflows Build and improve Retrieval-Augmented Generation (RAG) pipelines, including data ingestion, chunking, embeddings, vector search, and prompt design Deploy, monitor, and scale models and AI services on AWS Build and integrate REST APIs that expose AI capabilities to products and client systems Evaluate model and LLM outputs for accuracy, relevance, latency, and cost, and improve them over time Work with relational, NoSQL, and vector databases Read existing code and make improvements independently with light guidance Debug and fix issues across the application and AI stack Follow good practices for version control, testing, and documentation Strong AI/ML Developer Profile with hands-on Python, LLM, and RAG production experience Mandatory (Experience 1): Must have 3+ years of hands-on software development experience with at least the recent 1+ years on AI/ML or LLM-based projects Mandatory (Tech skill 1): Must have strong working knowledge of Python Mandatory (Tech skill 2): Must have hands-on experience with LLM APIs or platforms (OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI, or open-source models like Llama, Mistral) Mandatory (Tech skill 3): Must have practical experience building RAG applications using frameworks such as LangChain, LlamaIndex, or similar (data ingestion, chunking, embeddings, vector search, prompt design) Mandatory (Tech skill 4): Must have familiarity with embeddings and vector databases such as Pinecone, FAISS, Chroma, pgvector, Weaviate, or OpenSearch Mandatory (Tech skill 5): Must have understanding of prompt engineering and ways to evaluate LLM outputs Mandatory (Tech skill 6): Must have experience deploying models or AI services to production (FastAPI/Flask, Docker, AWS Lambda, ECS, or SageMaker) Mandatory (Tech skill 7): Must have working knowledge of AWS services (EC2, S3, Lambda, IAM, CloudWatch, ECS/ECR), and the ability to design, write, and consume REST APIs Mandatory (Tech skill 8): Must have experience with databases (PostgreSQL, MySQL, or DynamoDB), Git-based version control, and comfort with Linux commands and shell scripting Mandatory (Tech skill 9): Must have strong debugging and problem-solving skills Mandatory (Tech skill 10): Familiarity with ML libraries such as PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers

About Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.