Senior Consultant, Gen AI
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, and advanced NLP. Our ideal candidate blends technical depth with consulting acumen 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:
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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, and advanced NLP. Our ideal candidate blends technical depth with consulting acumen 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 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
- 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
- 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
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Consulting, Information Technology, and Sales -
Industries
Internet Publishing
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