UN
AI Application Engineer - Immediate Hiring
Pune, Maharashtra, India · Tempo pieno
Sii il primo a candidarti
- Esperienza
- Qualsiasi
- Stipendio
- —
- Aperture
- 1
- Pubblicato
- 2 ore fa
- Modalità di lavoro
- In ufficio
- Istruzione
- B.Tech
- Requisiti di ammissibilità
- Candidates with a bachelor's degree in engineering or related technical fields including B.E., B.Tech, MCA, or MBA in Information Systems or Computer Science can apply.
- Riprendere
- È necessario candidarsi
Dove lavorerai
Descrizione del lavoro
Position Overview
Acuity Knowledge Partners, a distinguished provider of advanced research, analytics, and business intelligence for the financial services sector, is seeking a skilled AI Application Engineer. Join a dynamic marketing and technology team focused on driving global business growth through innovative content-driven marketing initiatives in the digital domain.
Key Responsibilities
- Develop, deploy, and maintain enterprise-class web applications, APIs, and microservices using React, TypeScript, JavaScript, Node.js, and Python.
- Leverage comprehensive expertise in Azure cloud services such as App Service, Functions, Container Apps, API Management, Key Vault, Managed Identity, and Azure Monitor to build scalable solutions.
- Implement and manage robust DevOps and CI/CD pipelines utilizing GitHub Enterprise, GitHub Actions, and Azure DevOps for automated deployments.
- Design and uphold application architecture best practices, ensuring robust production support and operational efficiency.
- Architect secure APIs incorporating service-to-service authentication, authorization, and enforce API governance policies.
- Adopt secure software development life cycle processes with attention to threat modeling, vulnerability management, and security engineering.
- Set up comprehensive logging, monitoring, observability frameworks alongside incident management and operational controls.
Preferred Skills & Competencies
- Hands-on experience in building and operating AI, Generative AI (GenAI), Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and agent-based applications.
- Understanding of AI application risks such as prompt injection, hallucination mitigation, model assessment, and AI-specific testing approaches.
Eligibility Criteria
Applicants should hold a Bachelor of Engineering (B.E.), Bachelor of Technology (B.Tech), Master of Computer Applications (MCA), or Master of Business Administration (MBA) degree in Information Systems, Computer Science, or related domains.