Generative AI Developer

Job Description – Generative AI DeveloperJob Title: Generative AI DeveloperExperience: 4–10+ YearsLocation: Open/Hybrid/RemoteEmployment Type: Full-TimeJob SummaryWe are seeking a highly skilled Generative AI Developer to design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and modern cloud technologies. The ideal candidate should have hands-on experience with GenAI platforms, prompt engineering, vector databases, and AI application development.Must-Have Technical SkillsStrong programming experience in PythonHands-on experience with Generative AI, Large Language Models (LLMs), and Agentic AIExperience with OpenAI GPT, Claude, Gemini, Llama, or similar modelsExpertise in Prompt Engineering, Fine-Tuning, and Model EvaluationExperience with LangChain, LangGraph, LlamaIndex, or similar frameworksKnowledge of RAG (Retrieval-Augmented Generation) architecturesExperience with vector databases such as:PineconeWeaviateChromaFAISSMilvusFamiliarity with REST APIs and microservices architectureExperience with cloud platforms:AWS (Bedrock, SageMaker)Azure OpenAIGCP Vertex AIKnowledge of Docker, Kubernetes, and CI/CD pipelinesUnderstanding of AI governance, security, and responsible AI practicesPreferred SkillsExperience with Multi-Agent Systems and Autonomous AgentsKnowledge of NLP, Machine Learning, and Deep Learning conceptsFamiliarity with Hugging Face ecosystem and open-source LLMsExperience building AI chatbots, copilots, virtual assistants, or knowledge management solutionsExposure to MLOps and LLMOps frameworksKey ResponsibilitiesDesign and develop Generative AI solutions for enterprise applications.Build and optimize RAG pipelines using vector databases and knowledge repositories.Develop AI agents and workflow automation using modern AI orchestration frameworks.Integrate LLMs with enterprise systems, APIs, and business applications.Create, test, and optimize prompts for accuracy, performance, and cost efficiency.Evaluate model performance and implement monitoring and guardrails.Collaborate with business stakeholders to identify AI use cases and translate requirements into technical solutions.Ensure security, compliance, scalability, and reliability of AI applications.Stay current with emerging GenAI technologies, tools, and best practices.QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.4–10+ years of software development experience.2+ years of hands-on experience developing GenAI/LLM-based solutions.Strong problem-solving and communication skills.Nice-to-Have CertificationsAzure AI Engineer AssociateAWS Certified Machine Learning SpecialtyGoogle Professional Machine Learning EngineerOpenAI, LangChain, or GenAI-related certifications