Focus on multiple areas and provide technical and thought leadership to design, build, and productionize an enterprise application with AI/LLM Integration.
Design and develop highly available, scalable and secure software solutions to solve most complex problems for our business and customer needs.
Lead impactful architectural design discussions and contribute to elevating the quality of engineering through active participation in reviewing designs and code.
Own complete solution across its entire life cycle.
Accountable for the quality, usability, and performance of the solutions.
Mentor more junior team members professionally to help them realize their full potential.
Collaborate with Product Manager and Operations team to deliver desired business outcomes with quality and expected timelines.
Influence and educate leadership at all levels.
Consistently share best practices and drive improvements within and across teams, fostering curiosity and innovation to advance our technology and processes.
Drive digital transformation initiatives, including modernizing and migrating legacy applications.

Requirements

Fluency and specialization with at least one modern language such as Java, Go, or C++.
Familiarity with AI Concepts such as LLM/Prompts/RAG/etc.
Demonstrated ability in implementing AI applications via APIs or embedded code.
Demonstrated ability to communicate complex technical concepts clearly, concisely, and directly, both verbally and in writing.
Expertise in complex problem-solving autonomy, particularly in troubleshooting critical production issues and devising creative, scalable technical solutions.
Experience with services-oriented architecture with modern API protocols such as gRPC and REST.
Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems.
Extensive experience collaborating with senior engineers and other technical leaders to shape engineering strategy and solutions.
Fluency in DevOps Concepts, Cloud Architecture, and AWS/Azure DevOps Operational Framework, including continuous delivery and infrastructure as code.
Familiarity with and experience applying Agile/Scrum methodologies.
Strong understanding and practical experience with application monitoring, performance assessments, and observability practices, leveraging modern tools.
In-depth understanding of cloud infrastructure concepts and offerings, particularly within the AWS/Azure platform and its native services.
Strong problem-solving abilities and a proactive approach to identifying and mitigating security risks and vulnerabilities.
In-depth knowledge of computer science data structures and algorithms.
Ability to excel in a fast-paced, startup-like environment.
Excellent communication skills, able to communicate complete technical concepts to technical and non-technical stakeholders.
10 + years of professional software development experience, with significant, demonstrable impact in a lead or principal engineering capacity.
8 + years of experience in architectural design and leading significant system initiatives, including collaboration with cross-functional technical leadership.
6 + years of experience in open-source frameworks.
4+ years of experience with AWS, GCP, Azure, or another cloud service.
3+ years of experience building AI/ML products, conversational interfaces particularly with LLMs or similar AI models.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

JavaGoC++AI ConceptsAPIsgRPCRESTDevOpsAWSAzure

Soft Skills

technical leadershipproblem-solvingcommunicationmentoringcollaborationinfluenceinnovationcuriosityautonomyproactive approach