66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work.
At 66degrees, we believe in embracing the challenge 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.
Role OverviewAs 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.
- 2-4+ years of customer-facing experience in the design and implementation of AI/ML solutions.
- Proficient in Python and SQL.
- Expertise in AI frameworks and libraries, such as scikit-learn, Hugging Face Transformers, LangChain/Graph, GCP, and OpenAI APIs.
- Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement.
- Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Ability to work in a fast-paced environment and balance priorities across multiple projects at once.
- B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.
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.
