Description

Strong Python and AI/ML fundamentals with hands on experience in prompt engineering, integrating pre trained/foundation models into enterprise applications, and deploying AI solutions using CI/CD.

We are seeking an AI Engineer to build, integrate, and operate AI-enabled applications and platforms at enterprise scale. The role focuses on implementing AI capabilities using pre-trained models/APIs, fine-tuning and prompt engineering, and delivering secure, efficient AI features within products and workflows. The engineer will collaborate with architects, data/ML teams, DevOps/MLOps, and governance stakeholders to deploy, monitor, and continuously improve AI solutions.

Key Responsibilities – AI Engineer
Focus on fine-tuning, system/instruction tuning, and prompt engineering rather than training models from scratch.
Develop applications that use AI capabilities within business portfolios; integrate pre-trained models or APIs into products and workflows.
Deploy secure, effective, and efficient code for AI-driven functionalities and maintain AI-enabled applications.
Troubleshoot and fix AI logic incidents; perform prompt/model integration changes; manage releases and documentation for AI services.
Collaborate with cross-functional teams to translate requirements into AI-enabled features and validate outcomes through testing.
Implement automation for provisioning and scaling AI resources; ensure platform is secure, scalable, resilient, and cost-optimized.
Operate and maintain AI observability; monitor AI apps/agents, support onboarding/transition, and manage release planning.
Ensure AI components are registered with the core AI platform for centralized orchestration and governance.


Required Skills & Qualifications
Hands-on experience building AI-enabled applications and integrating pre-trained models or APIs.
Prompt engineering and/or fine-tuning experience for LLM-enabled features (system/instruction tuning).
Strong software engineering fundamentals: clean code, debugging, testing, and release management.
Experience with CI/CD and production operations for AI-enabled services; familiarity with monitoring/observability practices.
Understanding of security, privacy, and governance considerations for AI solutions.

Preferred / Nice-to-Have
Experience operating AI platforms (model registry, feature store, drift monitoring, inference runtimes).
Experience with ML model deployment, monitoring, and retraining workflows (MLOps/LLMOps).
Experience integrating AI solutions with enterprise systems (ITSM, IAM, API gateways) and applying governance guardrails.
Familiarity with Responsible AI practices (bias, explainability, auditability) and working with policy/governance teams.

Education
Bachelor s degree in Computer Science, Engineering, Data Science, or equivalent practical experience

Key Skills

Education

Any Graduate