Generative AI Engineer

ResponsibilitiesAI Application Development:- Design and develop intelligent chatbots and conversational AI systems for various business applications - Build and deploy social media analysis tools using natural language processing and sentiment analysis - Implement AI-powered content generation and analysis systems - Create and maintain AI agents for task automation and workflow optimizationLLM Integration & Optimization:- Set up, configure, and fine-tune Large Language Models (LLMs) for specific use cases - Implement prompt engineering techniques to optimize model performance - Integrate various LLM APIs (OpenAI, Anthropic, Google, etc.) into applications - Develop custom model pipelines and orchestration workflowsSecurity & Governance:- Implement AI security guardrails and content filtering systems - Design and deploy safety mechanisms for AI-generated content - Ensure compliance with AI ethics and responsible AI practices - Monitor and mitigate potential risks in AI applicationsTechnical Infrastructure:- Build and maintain vector databases for semantic search and retrieval systems - Implement Retrieval-Augmented Generation (RAG) architectures - Work with Model Context Protocol (MCP) for enhanced AI capabilities - Design scalable AI systems and optimize performance for production environmentsFramework & Tool Utilization:- Develop applications using LangChain and LangSmith frameworks - Build custom AI workflows and chains for complex use cases - Integrate with various AI/ML platforms and services - Maintain and optimize existing AI codebasesQualifications- Bachelor’s degree in computer science, AI/ML, Data Science, or related technical field - Relevant certifications in AI/ML or cloud platforms are a plus. - Continuous learning mindset with up-to-date knowledge of AI trendsRequired Skills- Programming: Proficiency in Python with experience in AI/ML libraries - GenAI Frameworks: Hands-on experience with LangChain, LangSmith, or similar frameworks - LLM Integration: Experience setting up and working with various LLMs (GPT, Claude, Gemini, etc.) - Vector Databases: Knowledge of Pinecone, Weaviate, Chroma, or similar vector storage solutions - AI/ML Libraries: Familiarity with HuggingFace Transformers, OpenAI API, Anthropic API - Data Processing: Experience with pandas, numpy, and data preprocessing techniques - APIs & Integration: RESTful API development and third-party service integrationPreferred Skills- 1-2 years of hands-on experience in Generative AI or related AI/ML fields - Proven track record of building and deploying AI applications in production - Experience with at least 2-3 major GenAI projects or use cases - Experience with cloud platforms (AWS, GCP, Azure) for AI/ML workloads - Knowledge of containerization (Docker, Kubernetes) for AI application deployment - Background in social media analytics and content moderation - Experience with multi-modal AI applications (text, image, audio) - Knowledge of AI agent frameworks and autonomous systems - Understanding of enterprise AI governance and compliance requirements - Strong problem-solving abilities and analytical thinking - Excellent communication skills for technical and non-technical stakeholders - Ability to work in fast-paced, iterative development environments - Collaborative mindset for cross-functional team projects

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