Lovelytics
Job Description
Lovelytics is seeking a Generative AI Engineer (Senior Consultant) with hands-on experience delivering client-facing projects in the Generative AI domain, particularly on the Databricks platform. This role offers an exciting opportunity to design and deploy state-of-the-art solutions involving language models, vector databases, and orchestration frameworks.
The Senior Consultant will be responsible for delivering client engagements focused on AI Agents, Retrieval-Augmented Generation (RAG), LLM application development, prompt engineering, GenAI automation, and advanced NLP. The ideal candidate combines technical expertise with consulting skills and thrives in a collaborative, fast-paced environment.
This role is open to remote candidates in the United States and Canada.
Note:
This position is not eligible for work sponsorship at this time. Primary Responsibilities: Deliver high-impact, client-facing engagements independently or lead workstreams under supervision. Build and optimize LLM applications, including AI Agents, RAG systems, prompt chaining, and output refinement. Design, implement, and deploy GenAI pipelines using tools like DSPy, MLFlow, LangChain, LlamaIndex, and Databricks Mosaic AI. Work hands-on with models such as OpenAI GPT, LLaMA, Claude, and others—fine-tuning or prompt-tuning as needed. Process unstructured and structured data for GenAI systems, including document parsing, chunking, vectorization, and retrieval. Collaborate with cross-functional teams to build UI and API integrations and GenAI-powered user experiences. Implement best practices for security, compliance, evaluation, and governance in GenAI projects. Develop evaluation frameworks using tools like MLFlow, Mosaic AI Eval, and custom metrics. Support CI/CD pipelines and promote code and model artifacts across environments. Contribute to internal accelerators and reusable GenAI components within our framework library. Work with senior leadership to design architecture and delivery plans tailored to clients. Skills and Experiences: B.S. in Computer Science or related field. 3–5 years in Machine Learning or NLP; 1–2 years with LLMs or Generative AI, preferably on Databricks. Proficiency with open-source LLM tools like Hugging Face Transformers, LangChain, or similar libraries. Hands-on experience with Databricks (Unity Catalog, MLFlow, Delta Tables, etc.). Knowledge of GenAI challenges such as hallucination mitigation, grounding, and evaluation. Experience designing secure, compliant, and scalable applications. Excellent communication skills for engaging technical and business stakeholders. What We Promise: Cutting-edge Generative AI projects across various industries. Rapid learning and mentorship with AI/GenAI experts. A culture of innovation and continuous improvement. Opportunities to speak at conferences, write blogs, and share ideas. A diverse, inclusive team where your contributions are valued. Lovelytics is an Equal Opportunity Employer. We consider all applicants regardless of race, color, religion, age, ethnicity, gender, sexual orientation, veteran status, or disability. Powered by JazzHR Mc3VxcX7oH
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This position is not eligible for work sponsorship at this time. Primary Responsibilities: Deliver high-impact, client-facing engagements independently or lead workstreams under supervision. Build and optimize LLM applications, including AI Agents, RAG systems, prompt chaining, and output refinement. Design, implement, and deploy GenAI pipelines using tools like DSPy, MLFlow, LangChain, LlamaIndex, and Databricks Mosaic AI. Work hands-on with models such as OpenAI GPT, LLaMA, Claude, and others—fine-tuning or prompt-tuning as needed. Process unstructured and structured data for GenAI systems, including document parsing, chunking, vectorization, and retrieval. Collaborate with cross-functional teams to build UI and API integrations and GenAI-powered user experiences. Implement best practices for security, compliance, evaluation, and governance in GenAI projects. Develop evaluation frameworks using tools like MLFlow, Mosaic AI Eval, and custom metrics. Support CI/CD pipelines and promote code and model artifacts across environments. Contribute to internal accelerators and reusable GenAI components within our framework library. Work with senior leadership to design architecture and delivery plans tailored to clients. Skills and Experiences: B.S. in Computer Science or related field. 3–5 years in Machine Learning or NLP; 1–2 years with LLMs or Generative AI, preferably on Databricks. Proficiency with open-source LLM tools like Hugging Face Transformers, LangChain, or similar libraries. Hands-on experience with Databricks (Unity Catalog, MLFlow, Delta Tables, etc.). Knowledge of GenAI challenges such as hallucination mitigation, grounding, and evaluation. Experience designing secure, compliant, and scalable applications. Excellent communication skills for engaging technical and business stakeholders. What We Promise: Cutting-edge Generative AI projects across various industries. Rapid learning and mentorship with AI/GenAI experts. A culture of innovation and continuous improvement. Opportunities to speak at conferences, write blogs, and share ideas. A diverse, inclusive team where your contributions are valued. Lovelytics is an Equal Opportunity Employer. We consider all applicants regardless of race, color, religion, age, ethnicity, gender, sexual orientation, veteran status, or disability. Powered by JazzHR Mc3VxcX7oH
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