Highlights
Opportunity to work on cutting-edge projects with global clients. Competitive salary and benefits package.
Description
Job Summary
pWe are seeking a talented AI Application Engineer to develop, implement, and maintain advanced data ingestion and inferencing workflows. This role involves leveraging AWS technologies and Claude LLMs to create robust and scalable solutions for our clients.
Responsibilities
- Develop and maintain complex AI workflows
- Integrate workflows into the main application pipeline
- Conduct code reviews and fix defects
Required Skills
- AWS tech stack proficiency
- Python programming expertise
- Experience with LLMs
- Data ingestion processes
- Inferencing workflow development
Required Skills Explained
- Deep understanding and hands-on experience with AWS tech stack, including services like S3, Lambda, and Kinesis.
- Expertise in Python programming language, particularly for implementing machine learning workflows.
- Familiarity with Claude LLMs and their integration into AI applications.
- Experience in developing and maintaining complex data ingestion pipelines and inferencing workflows.
- Proficiency in code reviews and defect fixing to ensure high-quality software delivery.
Who is this for
pThis role is ideal for engineers who have a deep understanding of AWS and Python, particularly in the context of developing AI workflows. Strong problem-solving skills are essential.
Why This Job is a Good Opportunity
ulliThe role allows you to work with cutting-edge technologies, including AWS and Claude LLMs, which are at the forefront of AI development.liJoining Zensar means working in a collaborative environment that encourages innovation and personal growth.liYou'll be part of a diverse team of 10,000+ innovators spread across multiple global locations, providing opportunities for networking and career advancement.liZensar's commitment to well-being and inclusive culture makes it an attractive workplace for professionals looking for a supportive environment.
Interview Preparation Tips
- Review AWS services and their functionalities in depth, especially S3, Lambda, Kinesis, and EC2.
- Pick up some Claude LLMs examples or use cases to demonstrate your understanding of its integration into AI applications.
- Showcase your Python coding skills by preparing a sample project that involves data ingestion and inferencing workflows.
- Be prepared to discuss past experiences in code reviews, defect fixing, and maintaining complex software systems.
Career Growth in This Role
pThe role of an AI Application Engineer offers ample opportunities for career growth. You can advance your skills by diving deeper into AWS services and expanding your knowledge of LLMs. With experience, you could move into leadership positions within the organization or explore other roles such as a Senior AI Developer or Tech Lead. The collaborative environment at Zensar also provides numerous networking opportunities, helping you build a strong professional network.
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Skills
Frequently Asked Questions
What experience is required for this role?Candidates should have substantial experience with AWS, Python, and a proven track record in developing AI workflows.
Is relocation assistance provided?Relocation support may be available based on the candidate’s qualifications and the hiring manager's discretion.
What kind of projects will I work on?You’ll work on innovative AI projects involving data ingestion, inferencing, and integration with various applications.
