LLM/Python Developer

Key Skills: Development with python/Java using AI, sql databases and data analytics, preferably with Zuora and revenue reporting experience

We are seeking a skilled LLM Engineer to design, develop, fine-tune, and deploy Large Language Model (LLM)–based solutions. The ideal candidate will work closely with product managers, and software engineers to build scalable, secure, and high-performance AI applications powered by state-of-the-art language models.

Key Responsibilities

• Design, develop, and deploy applications using Large Language Models (LLMs) such as GPT, Claude, LLaMA,or similar
• Fine-tune, evaluate, and optimize LLMs for domain-specific use cases
• Implement prompt engineering, retrieval-augmented generation (RAG), and agent-based workflows
• Build scalable APIs and services to integrate LLMs into production systems
• Optimize model performance, latency, and cost
• Ensure responsible AI practices, including data privacy, bias mitigation, and security
• Collaborate with cross-functional teams to translate business requirements into AI solutions
• Monitor and improve model outputs through continuous evaluation and feedback loops
• Stay current with advancements in NLP, LLM frameworks, and AI research

Required Qualifications

• Strong programming skills in Python (required); experience with JavaScript or Java is a plus
• Hands-on experience with LLMs and NLP techniques
• Experience with frameworks such as LangChain, LlamaIndex, Hugging Face, OpenAI APIs, or similar
• Understanding of machine learning concepts, transformers, and deep learning
• Experience building and deploying cloud-based applications (AWS, Azure, or Google Cloud Platform)
• Familiarity with REST APIs, microservices, and containerization (Docker, Kubernetes)
• Experience with Vertex AI in GCP

Preferred Qualifications

• Experience with fine-tuning open-source LLMs
• Knowledge of vector databases (FAISS, Pinecone, Weaviate, Chroma, etc.)
• Experience with MLOps tools and CI/CD pipelines
• Exposure to reinforcement learning, evaluation metrics, or synthetic data generation
• Prior experience working on production AI systems.