Lead Consultant, Gen AI

Role 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. As part of our growing AI & GenAI practice, this role offers an exciting opportunity to design and deploy state-of-the-art solutions that combine language models, vector databases, and cutting-edge orchestration frameworks.

The Sr Consultant will play a pivotal role in delivering client engagements focused on:

• AI Agents
• Retrieval-Augmented Generation (RAG)
• LLM application development
• Prompt engineering / DSPy
• GenAI-driven automation
• Advanced NLP

Our ideal candidate blends technical depth with consulting acumen and thrives in a collaborative, fast-paced environment.

Note: This position is not eligible for work sponsorship at this time.

Qualifications

• B.S. in Computer Science or equivalent technical field.
• 3–5 years of experience in Machine Learning or NLP; at least 1–2 years working with LLMs or Generative AI systems, preferably on Databricks.
• Proficiency with open-source LLM tooling such as Hugging Face Transformers, LangChain, or similar orchestration libraries.
• Strong hands-on experience with Databricks (Unity Catalog, MLFlow, Delta Tables, etc.).
• Familiarity with GenAI-specific challenges including hallucination mitigation, grounding techniques, and evaluation frameworks.
• Experience designing and deploying applications with security, compliance, and scalability in mind.
• Excellent communication skills and a strong ability to engage with technical and business stakeholders.

Requirements

• Deliver high-impact, client-facing engagements independently and/or lead specific workstreams under the supervision of an engagement lead and principal consultants.
• Build and optimize LLM applications, including AI Agents, RAG systems, evaluation pipelines, prompt chaining, and output refinement.
• Design, implement, and deploy GenAI pipelines using tools such as DSPy, MLFlow, LangChain, LlamaIndex, and Databricks Mosaic AI.
• Work hands-on with models like OpenAI GPT, LLaMA, Claude, and others—fine-tuning or prompt-tuning as required.
• Ingest and process unstructured and structured data for use in GenAI systems, including document parsing, chunking, vectorization, and retrieval.
• Collaborate with cross-functional teams to build custom UI and API integrations and GenAI-powered user experiences.
• Implement enterprise-grade best practices for security, compliance, evaluation, and governance in GenAI projects.
• Develop evaluation frameworks using MLFow, Mosaic AI Eval tools, and standard and custom metrics.
• Support CI/CD and DABs for AI applications and promote code and model artifacts across environments.
• Contribute to internal accelerators and reusable GenAI components as part of our growing framework library.
• Work closely with senior leadership to design architecture and delivery plans tailored to client needs.

Benefits

• Meaningful, cutting-edge projects in Generative AI with clients across industries—from Fortune 100 firms to disruptive startups.
• Rapid learning and mentorship opportunities with AI/GenAI thought leaders and practitioners.
• A culture of experimentation, innovation, and continuous improvement.
• Opportunity to be a conference speaker, blogger, writer.
• A diverse, inclusive team and one of the best GenAI teams, where your voice, ideas, and contributions are valued.