GenAI Developer

Job Title: Generative AI Developer (GenAI Developer)Location: NYC, NYExperience: 6 to 8 YearsJob Type: Full-Time Job 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), AI agents, and cloud-based AI services. The ideal candidate will have hands-on experience with modern AI frameworks, prompt engineering, vector databases, and enterprise-scale AI solutions.The candidate will collaborate with business stakeholders, data scientists, solution architects, and engineering teams to build innovative GenAI solutions that drive automation, productivity, and business value.Key Responsibilities • Design and develop Generative AI applications using OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or other LLM platforms. • Build and implement Retrieval-Augmented Generation (RAG) solutions using vector databases. • Develop AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel. • Create prompt engineering strategies and optimize prompts for accuracy, relevance, and performance. • Integrate LLMs with enterprise applications, APIs, databases, and business workflows. • Fine-tune and evaluate foundation models where applicable. • Implement model monitoring, guardrails, content filtering, and responsible AI practices. • Collaborate with data engineering teams to build knowledge repositories and document processing pipelines. • Conduct performance testing, model evaluation, and continuous optimization. • Stay current with emerging GenAI technologies, tools, and industry trends.Required Skills & QualificationsTechnical Skills • Strong proficiency in Python. • Hands-on experience with: • Azure OpenAI Service • OpenAI APIs • LangChain • LangGraph • Semantic Kernel • LlamaIndex • Experience building RAG architectures. • Knowledge of vector databases: • Pinecone • Azure AI Search • Weaviate • ChromaDB • FAISS • Experience with prompt engineering and prompt optimization techniques. • Understanding of embeddings, transformers, and LLM architectures. • Experience developing REST APIs and microservices. • Familiarity with Azure, AWS, or Google Cloud platforms. • Proficiency with Git, CI/CD pipelines, and DevOps practices.Data & AI Skills • Experience with NLP, text processing, and document intelligence solutions. • Understanding of model evaluation metrics and AI governance. • Knowledge of responsible AI, privacy, security, and compliance frameworks.Preferred Qualifications • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field. • Microsoft Azure AI Engineer Associate or Azure AI certifications. • Experience with: • Microsoft Copilot Studio • Microsoft Fabric • AI Foundry • Power Platform • MLOps practices • Knowledge of fine-tuning, LoRA, and open-source models such as Llama, Mistral, or Falcon. • Experience in enterprise digital transformation projects.Key Competencies • Problem-solving and analytical thinking. • Strong communication and stakeholder management. • Ability to translate business requirements into AI-driven solutions. • Innovation mindset and continuous learning attitude. • Team collaboration and mentoring capabilities.Success Metrics • Delivery of scalable GenAI solutions into production. • Improved accuracy and relevance of AI-generated responses. • Reduction in manual effort through AI-driven automation. • Compliance with security, governance, and responsible AI standards. • Adoption and business impact of deployed AI applications.Nice to Have • Experience with Agentic AI architectures. • Knowledge of MCP (Model Context Protocol). • Experience with AI orchestration platforms. • Familiarity with containerization technologies (Docker, Kubernetes). • Experience building Copilot and chatbot solutions for enterprise environments.Keywords: GenAI, LLM, Azure OpenAI, OpenAI, LangChain, LangGraph, RAG, AI Agents, Vector Database, Semantic Kernel, Python, Copilot Studio, AI Foundry, Prompt Engineering, NLP, Agentic AI.