Job Description
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.
Required Skills
- 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
Responsibilities
- 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
Job Description 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...
Job Description
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.
Required Skills
- 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
Responsibilities
- 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
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