Job Title: Generative AI Engineer (Senior Software Engineer / Staff Engineer)

Location: [Insert Location or Remote]

Employment Type: Full-time

Role Overview

We are looking for an experienced Generative AI Engineer to design and implement cutting-edge AI solutions leveraging LLMs, RAG patterns, and advanced orchestration workflows. This role requires strong expertise in Python, AI/ML frameworks, and cloud-native architectures, with a focus on building secure, scalable, and innovative AI systems.

Key Responsibilities

• AI/ML DevelopmentBuild and deploy generative AI models (LLMs such as GPT, Claude) and Retrieval-Augmented Generation (RAG) pipelines.
• Implement prompt engineering strategies for optimized model performance.
• Frameworks & SDKsWork with LangChain, PyTorch, and OpenAI SDK to develop AI-driven applications.
• Workflow OrchestrationDesign and implement workflows using AWS Step Functions, Temporal, or Flink Services.
• Cloud IntegrationDevelop and deploy solutions on AWS (Bedrock, Lambda, S3, IAM).
• Ensure scalability, reliability, and cost optimization in cloud environments.
• Security & Responsible AIImplement compliance and governance standards for AI systems.
• Ensure ethical and responsible AI practices in model development and deployment.
• CI/CD & ObservabilityBuild automated pipelines for model deployment and monitoring.
• Integrate observability tools for performance tracking and anomaly detection.
• InnovationExperiment with emerging AI technologies and frameworks.
• Drive research and proof-of-concepts for next-generation AI capabilities.

Required Skills & Qualifications

• Languages: Strong proficiency in Python (primary), Node.js/TypeScript (secondary).
• AI/ML Expertise: Hands-on experience with LangChain, PyTorch, OpenAI SDK, and LLM-based architectures.
• Generative AI: Deep understanding of LLMs, RAG patterns, and prompt engineering.
• Cloud & Orchestration: Experience with AWS services and workflow orchestration tools.
• Security & Compliance: Knowledge of responsible AI principles and governance frameworks.
• DevOps: Familiarity with CI/CD pipelines and observability tools.
• Soft Skills: Strong problem-solving, communication, and collaboration skills.

Preferred

• Experience with vector databases (e.g., Pinecone, Weaviate).
• Familiarity with MLOps and ModelOps practices.
• Exposure to multi-modal AI models and advanced generative techniques.