Generative AI Consultant

Location: San Francisco, CA, United States. Consultants in San Francisco are expected to live within a reasonable commuting distance and attend the office at least three days per week.

Base salary starting at $105,000, commensurate with experience and qualifications.

Company

hirify.global is a global management consulting group with an AI & Data Business Unit focused on data science, Generative AI, digital solutions, and large-scale AI deployment across industries.

What you will do

• Design, build, train, fine-tune, benchmark, validate, and deploy LLM and Generative AI systems using proprietary and open-source models.
• Develop business-focused GenAI applications and support the design of robust, scalable, secure solution architectures.
• Design advanced prompts and RAG architectures with source attribution to improve analytical capabilities, output quality, user experience, accuracy, and traceability.
• Implement MLOps workflows across AWS, Azure, or GCP, including CI/CD, versioning, monitoring, maintenance, and integrations with existing systems, APIs, and potentially MCP.
• Develop evaluation frameworks covering performance, reliability, fairness, safety, Responsible AI, security, and regulatory compliance.
• Collaborate with technical and non-technical stakeholders, document methodologies and best practices, research new GenAI approaches, and distinguish GenAI use cases from traditional NLP applications.

Requirements

• Master's degree or Engineering degree, or equivalent, in Computer Science, Engineering, Data Science, or a related quantitative field.
• 1–3+ years of hands-on experience in machine learning, software engineering, or data science, including complex AI projects involving LLMs and Generative AI.
• Strong programming skills in Python and proficiency in at least one major GenAI application framework, such as LangChain or LlamaIndex.
• Experience with NLP/NLU, vector embeddings, semantic search, and fine-tuning LLMs.
• Mastery of advanced prompting techniques, including Chain/Tree/Graph of Thought, ReAct, self-reflection, and guardrails.
• Knowledge of proprietary and open-source model ecosystems, including OpenAI, Anthropic, Mistral AI, Hugging Face, and models hosted on AWS, Azure, or GCP.
• Experience with cloud platforms and associated MLOps or AI services; familiarity with MLOps principles, CI/CD tools, Docker, and Git.
• Excellent written and verbal communication, analytical and complex problem-solving abilities, effective collaboration with diverse profiles, curiosity, pioneering spirit, and commitment to continuous learning.
• Applicants must not require now or in the future visa sponsorship or other company-sponsored work authorization in the United States.

Nice to have

• Experience building agentic AI systems using tools such as LangGraph or AutoGen.
• Experience with vector databases such as pgvector, Pinecone, Chroma, or OpenSearch.
• Experience developing conversational AI systems or chatbots.
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Understanding of protocols and standards connecting LLMs to external tools and databases, including Model Context Protocol.
• Experience deploying models at scale in production environments.

Culture & Benefits

• Full-time employment in a collaborative AI & Data team with extensive training and opportunities for professional growth.
• Healthcare coverage with three medical plan options, plus dental, vision, and life insurance.
• Paid time off, nine company holidays, one floating holiday, and fully paid parental leave at 100% of base pay for new parents.
• 401(k) plan with 4% matching vested on day one, college savings and loan repayment plans, and a monthly cell phone stipend.
• Flexible spending, parking and mass transit pre-tax accounts, wellness programs, gym reimbursement, and other incentives.
• Annual discretionary bonus and a flexible workplace approach aligned with client, business, and market needs.