AI Engineer

Job Description

Description

Responsibilities:

• Design, develop, test, and optimize prompts for LLMs to ensure high-quality, reliable outputs across business use cases
• Implement advanced prompt engineering techniques
• Develop AI solutions using programming, AI playgrounds, and foundational generative AI algorithms
• Design, build, and deploy Agentic AI solutions following established development lifecycle processes
• Conduct A/B testing of prompts and automation workflows; analyze performance, deviations, and degradation patterns
• Stay current on advancements in LLMs, RAG, prompt engineering, and Agentic AI best practices
• Technical documentation, reusable assets, and libraries to support AI development and adoption
• Partner with MLOps and cross-functional teams to establish monitoring, observability, and model performance frameworks
• Implement explainability capabilities utilizing Model Context Protocols (MCP), SHAP
• Identify and address model drift, bias, ethical concerns, and performance degradation
• Recommend and support AI governance, acceptable use, and ethics standards in collaboration with Legal and Compliance teams
• Develop safety guardrails, filters, and controls to prevent harmful, biased, or inaccurate AI outputs
• Ensure data quality, integrity, and responsible use across GenAI, Agentic AI, NLP, and related solutions
• Design and implement AI solutions that comply with security standards, regulatory requirements, and company policies
• Promote responsible AI practices that prioritize transparency, security, privacy, and compliance
• Collaborate with product managers, architects, engineers, data scientists, analysts, IT teams, and business stakeholders to deliver AI solutions aligned to business
• Translate business requirements into scalable AI capabilities
• Provide technical leadership
• Evaluate emerging AI technologies and recommend innovations

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Linguistics, or a related field
• 7+ years of experience in Generative AI, Agentic AI, NLP, LLMs, RAG, Data Science, Data Governance, or related disciplines
• Deep understanding of Agentic AI architectures, development lifecycles, multi-agent collaboration, and automation workflows
• Advanced programming skills in Python, with experience using AI/ML frameworks and libraries such as TensorFlow, PyTorch, and Keras
• Experience designing, developing, and optimizing Generative AI solutions, including LLM-powered applications, RAG frameworks, and prompt engineering techniques
• Experience with AI platforms and tools including Azure AI Foundry, Azure ML Studio, Databricks AI, Snowflake Cortex AI, Dataiku, and related ecosystems
• Experience with containerization and orchestration technologies, including Docker and Kubernetes
• Experience mapping business processes and workflows to AI-enabled automation solutions
• Experience with reporting and visualization tools
• Strong knowledge of NLP, transformer-based models (GPT and related architectures), text generation, sentiment analysis, parsing, and language understanding
• Working knowledge of cloud platforms with experience deploying and managing AI solutions in cloud environments
• Knowledge of AI design patterns such as Tool Use, Reflection, Planning, and agent orchestration frameworks including CrewAI
• Knowledge of data governance, data security, privacy, compliance, and responsible AI practices
• Strong understanding of data management practices including data preparation, cleansing, labeling, augmentation, synthetic data generation, and model training support
• Familiarity with explainability, monitoring, and model optimization concepts for production AI systems
• Proficiency in SQL and familiarity with R

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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