Live opening · Posted 16 days ago
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Description supplied by the original job listing.
You will own engineering initiatives end-to-end and help foster a culture of high ownership, continuous improvement, and engineering excellence.
Responsibilities:
Design, develop, and deliver AI-powered application features and services.
Build and integrate AI capabilities such as LLM-based features, automation workflows, and intelligent user experiences into applications.
Develop backend services, APIs, and application logic that interact with AI/ML systems and models.
Collaborate with AI/ML engineers to integrate models into production-grade applications.
Build scalable and reliable distributed systems, ensuring performance and high availability.
Implement observability, monitoring, and logging for AI-driven application components.
Participate in system design, architecture discussions, and code reviews.
Continuously improve system performance, reliability, and developer productivity.
Stay current with advancements in AI technologies (e. g., LLMs, embeddings, agent frameworks) and apply them to product use cases.
Requirements:
8 to 15 years of experience in a software engineer role in building scalable applications.
Strong proficiency in Python and at least one additional programming language (Java, Go, or C++).
Experience developing backend systems, APIs, and microservices architectures.
Experience building scalable services using REST/gRPC APIs.
Experience integrating AI/ML capabilities into applications (e. g., APIs for LLMs or ML services).
Strong understanding of data structures, algorithms, and system design principles.
Experience with containerization and orchestration technologies
Strong problem-solving skills and ability to collaborate effectively in Agile environments.
Highly motivated, adaptable, and eager to learn new technologies.
Preferred Skills:
Experience building applications using LLMs, RAG systems, or AI agents.
Familiarity with vector databases and embedding models.
Experience with orchestration frameworks (e. g., LangChain, LangGraph).
Knowledge of real-time data processing and event-driven architectures.
Exposure to observability tools and monitoring systems for AI applications.
Experience
11-15 yrs
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