Job Title:
Generative AI Engineer
Company: hiringplug™
Location: Anantapur, Andhra Pradesh
Created: 2025-12-30
Job Type: Full Time
Job Description:
About us: hiringplug™ is building an AI-first variant of its HR technology platform using enterprise-grade multi-agent GenAI workflows to automate real hiring operations. Currently in beta stage.We are hiring a hands-onAI Developer / Generative AI Engineerto design and build multi-agent AI systems and RAG-driven workflows used in commercial production. This is a core Individual contributor role with direct ownership and close collaboration with the founder.KEY RESPONSIBILITIES:Design and implement multi-agent AI systems (planner, executor, critic, retriever patterns). Build end-to-end RAG pipelines: ingestion, chunking, embeddings, retrieval, grounding. Implement MongoDB Vector Search for semantic retrieval. Develop production-grade prompt engineering strategies (role prompts, memory, guardrails). Integrate and optimize multiple LLMs (OpenAI, Anthropic, etc.). Build scalable backend APIs using Python. Work with PostgreSQL for core application data and MongoDB for document/vector storage. Deploy and maintain AI systems in Linux-based production environments.REQUIREMENTS/ ELIGIBILITY:A. Must-Have Skills 2–5 yearsof commercial AI / backend development experience. StrongPythonskills and hands-onRAG implementation experience in production. Experience withMongoDB(including vector search). Working knowledge ofPostgreSQL . Strongprompt engineeringexperience beyond basic prompting. Experience designing or implementingmulti-agent AI workflows . Solid fundamentals in software engineering, Architecture and system design.B. Good to Have PriorStartup experiencewith ownership of production systems. Exposure toNLP libraries(Hugging Face, SpaCy, NLTK). Cloud hostingexperience (AWS / GCP / Azure). HR Tech or Enterprise SaaS productbackground. Product andUXawareness in AI systems.C. Preferred Candidates Immediate / early joiners . Based inDelhi/ NCR (or open to hybrid). Have shipped AI systems used by real users. Comfortable working in fast-moving, small sized startup environments.If this is you, Let's talk!