Develop robust, scalable, and maintainable Python applications and APIs.
Design and implement Agentic AI solutions using AWS Bedrock, other AWS Services and CRM products like Salesforce.
Integrate foundation models (e.g., Amazon Titan, Anthropic Claude, etc.) into enterprise workflows.
Collaborate with cross-functional teams to define technical requirements and deliver high-quality software.
Optimize performance and cost-efficiency of AI workloads in cloud environments.
Ensure best practices in software engineering, including CI/CD, testing, and documentation.
Mentor junior engineers and contribute to technical leadership within the team.

Requirements

Bachelor’s degree or equivalent experience
5+ years of Professional software development experience
2-3 years of hands-on experience in AWS Bedrock, SageMaker, Lambda and other AWS services
Strong proficiency in Python and experience with Agentic AI frameworks (e.g., LangChain).
Analytical skills, ability to research and resolve complex issues
Experience building RESTful APIs and microservices and solid understanding of software design patterns. Experience with Microsoft tech stack.
Excellent problem-solving and communication skills.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAWS BedrockAWS SageMakerAWS LambdaAgentic AI frameworksRESTful APIsmicroservicessoftware design patternsCI/CDtesting

Soft Skills

analytical skillsproblem-solvingcommunicationmentoringtechnical leadership

Certifications

Bachelor’s degree