More jobs:
Agentic AI
Job in
Hartford, Hartford County, Connecticut, 06112, USA
Listed on 2026-06-02
Listing for:
Diverse Lynx
Full Time
position Listed on 2026-06-02
Job specializations:
-
Software Development
AI Engineer
Job Description & How to Apply Below
- Lead the end-to- end design, development, testing, deployment, maintenance, and enhancement of highly scalable, reliable, and secure services and applications
- Apply AI technologies such as AWS Bedrock (including Foundation Models, Knowledge Bases, Agents), the Converse API, AWS Sage Maker, AWS Lambda, Amazon S3, and other relevant AWS AI/ML and core services.
- Architect robust, efficient, and secure computing infrastructures and application stacks capable of handling large-scale data processing and inference demands.
- Design and implement solutions leveraging the AWS Bedrock Converse API for unified interaction with foundation models, incorporating advanced features like tool calling and multimodal input processing (text, image, documents).
- Develop and implement Retrieval-Augmented Generation (RAG) patterns using AWS Bedrock Knowledge Bases, integrating proprietary data from sources like Amazon S3 and leveraging vector databases to enhance model relevance and accuracy.
- Build comprehensive solutions that effectively integrate Bedrock's managed services with custom components, such as AWS Lambda functions for implementing Bedrock Agent actions or custom data processing logic.
- Actively research, evaluate, and stay current with the latest advancements, trends, and research in AI/ML, particularly in generative AI, foundation models, large language models (LLMs), and evolving AWS capabilities.
- Champion and implement responsible AI practices, ensuring fairness, transparency, security, and ethical considerations are integrated throughout the development lifecycle, potentially leveraging tools like AWS Bedrock Guardrails.
- Collaboration:
Collaborate with cross-functional teams, including product managers, architects, and software developers, to define technical requirements and create robust and scalable architectures that meet business objectives - Mentorship:
Mentor and guide junior engineers, helping them enhance their technical skills and grow professionally through knowledge-sharing activities, technical training, and fostering a culture of learning within the team
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