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Urgent! LLM Software Developer - Python Job Opening In India, India – Now Hiring Persist Ventures

LLM Software Developer Python



Job description

<p><p><b>Description : </b><br/><br/>We are seeking a Software Developer - Large Language Models (LLMs) with strong hands-on experience in designing, building, and deploying AI-driven applications.<br/><br/>The ideal candidate will be passionate about leveraging cutting-edge generative AI technologies to create intelligent systems capable of understanding, generating, and reasoning with natural language.<br/><br/>You will collaborate closely with product managers, data scientists, and backend engineers to prototype, fine-tune, and productionize AI-powered solutions that drive automation, enhance user engagement, and deliver measurable business outcomes.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design, develop, and deploy AI systems and applications powered by advanced LLMs such as GPT, Claude, Gemini, and LLaMA.<br/><br/>- Build APIs, data pipelines, and integration layers connecting model inference with real-time or enterprise data systems.<br/><br/>- Fine-tune and optimize models for specific domains, tasks, or conversational workflows using advanced training and evaluation techniques.<br/><br/>- Engineer prompts and response frameworks to improve contextual reasoning, factual accuracy, and alignment with business use cases.<br/><br/>- Implement retrieval-augmented generation (RAG) systems using vector databases such as Pinecone, Weaviate, FAISS, or Chroma.<br/><br/>- Develop and maintain AI services for summarization, classification, recommendation, and information extraction.<br/><br/>- Collaborate cross-functionally with frontend and backend teams to embed LLM-based capabilities into digital products and platforms.<br/><br/>- Monitor, evaluate, and iterate on model performance using feedback loops, telemetry, and A/B testing frameworks.<br/><br/>- Maintain code quality, documentation, and observability standards throughout the AI system lifecycle.<br/><br/><b>Required Skills & Experience : </b><br/><br/>- Programming Expertise : Strong proficiency in Python and frameworks such as FastAPI, Flask, or Django for building production-grade APIs.<br/><br/>- LLM Experience : Hands-on exposure to OpenAI, Anthropic, Google Gemini, Hugging Face, or similar APIs.<br/><br/>- AI Workflow Tools : Experience with LangChain, LlamaIndex, or equivalent orchestration and agent frameworks.<br/><br/>- RAG & Embeddings : Proficient in designing retrieval pipelines and working with embedding models for contextual data augmentation.<br/><br/>- Vector Databases : Practical knowledge of Pinecone, Chroma, Weaviate, FAISS, or other vector search technologies.<br/><br/>- ML Fundamentals : Understanding of transformer architectures, tokenization, and model fine-tuning techniques.<br/><br/>- Cloud & Deployment : Experience with AWS, GCP, Azure, or Vercel for scalable deployment of AI workloads.<br/><br/>- Version Control & CI/CD : Familiarity with Git, Docker, and CI/CD pipelines for model and service deployment.<br/><br/>- Strong debugging, documentation, and collaboration abilities within agile environments.<br/><br/><b>Preferred Qualifications : </b><br/><br/>- Experience in custom model training or distillation for specialized tasks.<br/><br/>- Exposure to knowledge graphs, data indexing, or hybrid retrieval approaches.<br/><br/>- Familiarity with MLOps or AI observability tools (Weights & Biases, MLflow, LangFuse).<br/><br/>- Contributions to open-source LLM or LangChain projects<br/></p><br/></p> (ref:hirist.tech)


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