AI Engineer

**About The Role**
We are seeking a hands-on AI Engineer to help design, build, and deploy intelligent features within our application ecosystem. This role will collaborate closely with our Manager of Data Science & AI Engineering to identify opportunities for generative AI, predictive analytics, and automation across business workflows.


You will be responsible for scoping, prototyping, and implementing AI products — from model design to integration — leveraging both proprietary data and leading cloud AI platforms.


Key Responsibilities

* Partner with the Manager of Data Science & AI Engineering to scope and deliver AI-driven product features and internal tools.
* Design and implement machine learning and generative AI solutions using cloud services such as AWS Bedrock, SageMaker, and Amazon Q in QuickSight.
* Integrate AI services into web and application layers (e.g., via REST APIs, LangChain, or Bedrock SDK).
* Develop proof-of-concepts for natural language querying, document summarization, forecasting, and user experience enhancements using AI.
* Work with structured and unstructured data stored in AWS RDS, SQL Server, and other data sources.
* Collaborate with data engineering and analytics teams using tools like Power BI, QuickSight, and Python-based data pipelines.
* Ensure responsible AI design, including model monitoring, bias testing, and performance validation.
* Stay current with emerging technologies in AI (LLMs, vector databases, RAG architectures, and MLOps best practices).

**Required Skills & Experience**

* 3–5 years of experience as an AI Engineer, Data Scientist, or Machine Learning Engineer.
* Practical experience with agentic AI
* Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, LangChain, PyTorch, or TensorFlow).
* Experience with AWS AI/ML ecosystem, including Bedrock, SageMaker, Lambda, and Step Functions.
* Experience with LLM integration and prompt engineering (e.g., OpenAI, Anthropic Claude, Amazon Titan, etc.).
* Experience with SQL and data modeling using AWS RDS or SQL Server.
* Comfort working across analytics and visualization tools such as Power BI or Amazon QuickSight (with Q).
* Understanding of MLOps concepts such as versioning, CI/CD, and monitoring.
* Familiarity with prompt engineering
* Experience mapping domain business problems into building deep neural networks for predictive insights
* Ability to plan and implement a training validation strategy
* Strong problem-solving skills, product mindset, and ability to translate ambiguous business requirements into deliverable AI solutions.

**Preferred Qualifications**

* Experience deploying chatbots, retrieval-augmented generation (RAG), or embedding-based search.
* Demonstrated experience in applying AI complex domains with large numbers of entities and relationships
* Proven track record in building AI applications for end-users
* Experience validating the performance of AI applications and incrementally improving accuracy
* Knowledge of API integration and orchestration frameworks (FastAPI, Flask, or Streamlit).
* Understanding of responsible AI principles and data governance best practices.
* Experience integrating AI with BI or analytics dashboards for end-user insights.

Tech Stack You’ll Work With

* Languages: Python, SQL, JSON
* Cloud: AWS (Bedrock, SageMaker, Lambda, RDS, S3, Glue)
* Databases: AWS RDS, SQL Server
* Analytics: Power BI, QuickSight with Q
* AI/ML Tools: LangChain, Bedrock SDK, PyTorch, scikit-learn, Hugging Face Transformers