Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. 

Overview of Role

As an AI Engineer, you will be responsible for designing, building, and deploying sophisticated AI solutions, with a focus on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). You will partner directly with business stakeholders and customers to understand their needs, translate them into technical requirements, and deliver robust, scalable AI applications that drive significant business impact.

Responsibilities:

•  End-to-End Solution Development: Partner with internal and external stakeholders to lead the full lifecycle of AI projects—from use case scoping and data exploration to model development, deployment, and performance optimization.
•  Data-Centric AI Implementation: Champion a data-first approach to building AI applications. Design and implement scalable text processing pipelines, and establish best practices for data quality, including curating vector database collections, and developing tailored data chunking and vectorization strategies.
• Generative AI System Architecture: Architect and implement advanced AI systems utilizing modern orchestration frameworks (e.g., LangChain, LlamaIndex). Your expertise will cover the core components of the Gen AI stack
• Retrieval: Implementing efficient and relevant information retrieval.
• Augmentation & Generation (RAG): Building robust RAG pipelines.
• Fine-Tuning: Fine-tuning embedding and generative models for specific tasks.
• Evaluation: Establishing metrics and frameworks to evaluate model performance.
• LLMOps & Production Deployment: Manage the deployment of AI models as scalable inference endpoints. Implement and maintain LLMOps best practices, including CI/CD for models, observability, tracing, and version control using Git.
• Stakeholder Management & Enablement: Forge and manage strong relationships with customer leadership. Serve as the primary technical voice, educating stakeholders on the capabilities and limitations of AI, and conducting workshops to transfer knowledge and ensure successful adoption.

Skills and Qualifications:

•  2+ years of experience with data science.
• Python (TensorFlow, Keras, SciKit-Learn, PyTorch), SQL, Shell Scripting experience.
• Data Engineering experience in Data Cleansing, ETL/ELT Pipelines, Vector DBs, Relational DBs, NoSQL DBs, Warehouses
• Generative AI experience in LLMs, Prompt Engineering, Tuning, RAG, LangChain,Agentic AI
• Statistics & Modeling experience with Time-Series, Clustering, Regression, Classification, Recommendation Systems, Deep Learning, Ensemble Modeling, Reinforcement Learning, EDA, Data Visualization, Feature Engineering, Model Evaluation, Responsible AI
• MLOps experience with GIT, building CI/CD Pipelines, API Development, Docker, Deployment, Retraining Pipelines, Monitoring, Model Versioning.
• Google Cloud Experience in the following tools: Vertex AI, Document AI, Cloud Run, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage.
• Kubernetes, Looker, Graph Data Science experience is a plus.
• Ability to communicate complex, technical processes to non-technical business stakeholders.
• Ability to track changing business requirements and deliver quality solutions both independently and with teams of varying skill sets.
• A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.
  
  66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.