AI Engineer
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Key skills for this role
Role Overview
The AI Engineer will design, develop, and deploy enterprise-grade AI and Agentic AI solutions.
The role focuses on intelligent agent workflows, AI assistants, Text-to-SQL solutions, and scalable Generative AI applications.
Key Skills for This Role
Full Job Posting
Role Summary
The AI Engineer will design, develop, and deploy enterprise-grade AI and Agentic AI solutions.
The role focuses on intelligent agent workflows, AI assistants, Text-to-SQL solutions, and scalable Generative AI applications.
Key Responsibilities
- Design AWS-native Agentic AI and Generative AI solutions.
- Build and orchestrate agents with AWS Bedrock Agents and AgentCore.
- Develop workflows with LangGraph and LangChain.
- Implement RAG using vector databases, embeddings, reranking, and knowledge bases.
- Build Text-to-SQL engines for natural-language analytics and reporting.
- Develop AI data pipelines with PySpark, AWS Lambda, and Amazon Redshift.
- Implement semantic caching to improve performance and reduce inference costs.
- Integrate AI solutions with enterprise systems and data platforms.
- Deliver secure, scalable, reliable, and compliant production AI solutions.
Mandatory Technical Skills
- Strong experience with AWS Bedrock Agents and hands-on expertise with AgentCore.
- Experience with LangGraph and LangChain for agent orchestration.
- Strong understanding of RAG architectures, vector retrieval, embeddings, knowledge bases, and reranking.
- Experience developing Text-to-SQL solutions.
- Proficiency in Python and AI application development.
- Hands-on experience with PySpark, AWS Lambda, and Amazon Redshift.
- Experience with semantic caching, REST API integrations, and microservices architecture.
Good-to-Have Skills
- Experience with multi-agent architectures.
- Knowledge of contextual retrieval techniques.
- Experience with AI guardrails and responsible AI controls.
- Knowledge of PII detection and data masking frameworks.
- Experience with FastAPI for AI service deployment.
- Exposure to enterprise API integrations and AI observability tools.
Preferred Qualifications
- Bachelor's or master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
- Experience in banking, financial services, or enterprise digital transformation projects.
- AWS AI/ML certifications are an added advantage.
- 4+ years of software engineering experience with at least 2 years of hands-on AI or Generative AI development experience is preferred.
Preferred Profile
Strong problem-solving and analytical skills.
Experience delivering production-grade AI solutions at enterprise scale.
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