Generative AI Engineer (LLM ) - W2 contract

Job Summary 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 data scientists, 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 • Bachelor’s or Master’s degree in Computer Science, AI, ML, or a related field • 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) 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 systemsApply Now

Apply Now