AI Engineer - Payment Domain
Siri InfoSolutions Inc
Boston, MA, United States
3 months ago
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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
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