Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Lovelytics

Senior Consultant, Gen AI

Lovelytics

Generative AI Engineer delivering client-facing projects on the Databricks platform. Designing and deploying state-of-the-art solutions combining language models and orchestration frameworks.

Posted 5/5/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
Unity

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 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 highly valued.

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningNatural Language ProcessingGenerative AILLM applicationsdocument parsingchunkingvectorizationevaluation frameworksCI/CDDABs
Soft Skills
communicationcollaborationleadershipengagementproblem-solvingadaptabilitycritical thinkingorganizational skillsclient-facingteamwork
Certifications
B.S. in Computer Science