AI Engineer - Payment Domain

Siri InfoSolutions Inc
Boston, MA, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$176,800.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Cloud Engineering Continuous Integration Python (Programming Language) Software Engineering Enterprise Software Applications ReactJS
+12 more
Flask (Web Framework) Large Language Models Prompt Engineering Generative AI Backend Git Fastapi Containerization Kubernetes Virtual Agents Api Design Docker

Job description

  • Design and develop AI-powered enterprise applications
  • Build scalable GenAI and Agentic AI solutions
  • Integrate LLMs with enterprise systems and APIs
  • Develop and optimize RAG workflows
  • Collaborate with cloud, security, and business teams
  • Ensure performance, scalability, and security of AI applications, Role Overview As a Backend Engineer, you will play a crucial role in shaping the future of AI by designing, developing, and maintaining robust server-side solutions for complex sof…
  • 5 days ago
  • Apply easily, Role Overview As an Infrastructure Engineer, you will leverage your expertise to enhance the training of next-generation AI systems. Your contributions will directly influence how …
  • 5 days ago
  • Apply easily

Requirements

We are looking for a hands-on AI Engineer with strong experience in Generative AI, Agentic AI frameworks, and cloud-native application development. The ideal candidate should have expertise in building scalable AI-powered applications and integrating LLM-based solutions into enterprise environments., * 5+ years of software engineering experience

  • Strong experience with Python
  • Hands-on experience with Generative AI / LLMs
  • Experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, etc.
  • Experience implementing RAG pipelines
  • Cloud experience with AWS or Azure
  • Experience with FastAPI or Flask
  • Strong API development experience
  • Knowledge of vector databases and embeddings
  • CI/CD and containerization experience (Docker/Kubernetes)
  • Experience with Git and Agile methodologies

Preferred Skills

  • Experience with AWS Bedrock/OpenAI APIs
  • React or UI integration experience
  • Banking or Financial domain exposure
  • Prompt Engineering and fine-tuning knowledge

About the company

© 2026 Careerjet All rights reserved

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on careerjet.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

1:48 min

Integrating generative AI capabilities via cloud-based API endpoints

juarezjunior juarezjunior · WWC 2024

Videos

See all

Related articles

See all