AI Engineer - LLM Frameworks

<p><p><b>Job Description : AI Engineer</b></p><br/><b>Position :</b> AI Engineer<br/><br/><b>Experience Required :</b> 2+ years<br/><br/><b>Location :</b> Remote (Work from Home)<br/><br/><b>Availability :</b> Immediate Joiner<br/><br/>About the Role We are seeking a passionate and skilled AI Engineer to join our growing team.<br/><br/></p><p>- The ideal candidate will have hands-on experience in Python, Large Language Models (LLMs), and Generative AI applications, with strong knowledge of LLM fine-tuning and integrations.<br/><br/></p><p>- You will work on cutting-edge AI solutions, enabling enterprises to adopt and scale GenAI use cases effectively.<br/><br/></p><p>- This role is with a service-based company, so flexibility, adaptability, and client-handling skills are essential.<br/><br/><b>Key Responsibilities :</b><br/><br/></p><p>- Design, develop, and deploy Generative AI applications using LLMs such as OpenAI, Gemini, Anthropic, etc.<br/><br/></p><p>- Implement LLM fine-tuning and prompt engineering for client-specific use cases.<br/><br/></p><p>- Build end-to-end AI pipelines including data preprocessing, model training, evaluation, and deployment.<br/><br/></p><p>- Integrate LLMs with third-party systems, APIs, and enterprise workflows.<br/><br/></p><p>- Collaborate with cross-functional teams (Product, Engineering, Clients) to understand requirements and deliver AI-driven solutions.<br/><br/></p><p>- Stay updated with the latest advancements in GenAI, ML, and LLM frameworks.<br/><br/><b>Required Skills & Experience :</b><br/><br/></p><p>- 2+ years of experience in AI/ML engineering with a focus on LLM development and integration.<br/><br/></p><p>- Strong expertise in Python (NumPy, Pandas, PyTorch/TensorFlow preferred).<br/><br/></p><p>- Experience with OpenAI, Google Gemini, or similar LLM platforms.<br/><br/></p><p>- Hands-on with LLM fine-tuning, embeddings, and vector databases (e.g., Pinecone, FAISS, Weaviate).<br/><br/></p><p>- Experience in building GenAI applications, APIs, and chatbots.<br/><br/></p><p>- Understanding of MLOps, deployment on cloud (AWS/GCP/Azure) is a plus.<br/><br/></p><p>- Ability to work in a remote, service-company environment with multiple clients/projects.<br/><br/><b>What We Offer :</b><br/><br/></p><p>- Flexible remote work environment.

Exposure to multiple industries and diverse AI projects.

Growth opportunities in Generative AI and enterprise AI consulting.</p><br/></p> (ref:hirist.tech)