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We’re looking for a GenAI Engineer to design and deliver production-grade Retrieval-Augmented Generation (RAG) pipelines on AWS that merge video and text analysis for real-world mortgage and loss-mitigation applications . You’ll work closely with a team of seasoned domain experts in a fast-paced, results-driven environment where success means turning AI into tangible business value.
What You’ll Do :
- Build and optimize RAG pipelines on AWS using Bedrock, S3, OpenSearch, and vector databases.
- Integrate video and text processing tools such as AWS Transcribe, Rekognition, or equivalent services.
- Engineer reliable, maintainable GenAI endpoints leveraging Bedrock and ChatGPT models.
- Collaborate daily with subject-matter experts to refine requirements and validate real-world outputs.
- Deliver working, scalable pipelines quickly —focused on measurable impact, not just prototypes.
What We’re Looking For :
Strong hands-on experience with AWS (Bedrock, Lambda, ECS, IAM) and Python .Proficiency with LangChain, LlamaIndex, embeddings , and prompt engineering .Demonstrated ability to work fast and collaboratively within multi-disciplinary teams.Experience building text and video data pipelines is a strong plus.Seniority level
AssociateEmployment type
Full-timeIndustries
IT Services and IT ConsultingIf you thrive at the intersection of AI engineering and real-world problem-solving , this is your chance to build high-impact systems that make a difference.
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