Generative AI Consultant

Job Description

Join us as an experienced Generative AI Specialist designing and implementing cutting-edge GenAI/LLM solutions across diverse industries. You'll act as a vital bridge between technical teams (Data Science, ML, Platform) to deliver business-centric AI value. You'll guide clients on the optimal path, using techniques like RAG, agents, or fine-tuning, for cost-effective impact.

Your responsibilities extend beyond prompting to architecting robust AI products via benchmarking, prototyping, and validation. You'll orchestrate the full AI workflow, ensuring seamless model integration optimized for performance, security, and scale, while tackling infrastructure challenges. We provide extensive training to support your success.

Responsibilities:

• LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs and other generative techniques.
• Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust, scalable, and secure applications.
• Application Development: Develop applications powered by GenAI models that meet business needs and comply with applicable regulations.
• Advanced Prompt Engineering: Design and optimize effective prompts, balancing simplicity and complexity to enhance analytical capabilities and control interactions.
• RAG Implementation: Design and implement Retrieval-Augmented Generation architectures with traceability (source attribution).
• Model Selection & Fine-Tuning: Select and fine-tune appropriate models, including multimodal, VLM, and SLM models.
• Integration & Deployment (MLOps): Implement MLOps best practices for the GenAI lifecycle, including CI/CD pipelines, versioning, monitoring, and maintenance in production on cloud platforms.
• Evaluation & Responsible AI: Develop and execute evaluation frameworks to measure model performance, reliability, fairness, and safety.
• Research & Innovation: Stay abreast of the latest GenAI advancements and experiment with new approaches.
• Collaboration: Work effectively within cross-functional teams, communicating complex technical concepts to technical and non-technical stakeholders.
• Documentation: Document processes, methodologies, and best practices for knowledge sharing.
• Use Case Differentiation: Distinguish between use cases suited for Generative AI versus traditional NLP applications.

Qualifications

• Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field.
• Experience: 1-3+ years of hands-on experience in machine learning, software engineering, or data science, with experience on complex AI projects involving LLMs and Generative AI.
• Strong programming skills, particularly in Python.
• Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.).
• Proven experience in NLP/NLU, vector embeddings, and semantic search.
• Hands-on experience with fine-tuning LLMs.
• Mastery of advanced prompting techniques.
• Knowledge of proprietary and open-source model ecosystems.
• Experience with cloud platforms (AWS, Azure, or GCP) and their MLOps/AI services.
• Familiarity with MLOps principles, CI/CD tools, Docker, and Git.
• Excellent communication skills, written and verbal.
• Strong analytical and complex problem-solving abilities.
• Team player with the ability to collaborate effectively with diverse profiles.
• Curiosity, pioneering spirit, and a commitment to continuous learning.

Preferred Qualifications

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

Additional Information

• Base salary starting at $105,000, commensurate with experience and qualifications.
• Annual Discretionary Bonus.
• Healthcare, dental, vision, and life insurance coverage.
• Flexible Spending Account (FSA).
• Paid Time Off.
• Parental leave paid at 100% of base pay.
• 9 Company Holidays + 1 Floating Holiday.
• 401(k) Plan with 4% matching.
• College savings and loan repayment plans.
• Monthly cell phone stipend.
• Pre-tax account for parking and mass transit.
• Wellness and incentive programs.

Sia is an equal opportunity employer. Consultants in primary market office locations are expected to attend the office at least three days per week. Sia does not intend to pursue employment with applicants who will require visa sponsorship for work authorization in the United States.