Agentic AI Engineer / Developer
Dice is the leading career destination for tech experts at every stage of their careers. Our client, NeuroNet Solutions Inc, is seeking the following. Apply via Dice today!Job SummaryWe are seeking an experienced Agentic AI Engineer / Developer to design, develop, and deploy next-generation AI-driven autonomous and semi-autonomous systems for enterprise applications. The ideal candidate should have strong expertise in Generative AI, LLMs, AI agents, orchestration frameworks, and scalable cloud-native architectures. The role involves building intelligent agentic workflows capable of reasoning, planning, tool usage, and workflow automation within a secure enterprise ecosystem.Must Have Technical/Functional SkillsStrong hands-on experience in Python programmingExperience developing AI/ML and Generative AI solutions in enterprise environmentsStrong understanding of Large Language Models (LLMs) and prompt engineeringHands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similarExperience building AI agents with memory, reasoning, planning, and tool integration capabilitiesStrong experience with Retrieval-Augmented Generation (RAG) architecturesExperience integrating vector databases such as Pinecone, Weaviate, ChromaDB, or FAISSExperience with OpenAI, Anthropic, Gemini, or other enterprise LLM APIsStrong understanding of REST APIs, microservices, and event-driven architecturesExperience with FastAPI, Flask, or similar backend frameworksKnowledge of cloud platforms such as AWS, Azure, or Google Cloud PlatformExperience with Docker, Kubernetes, and CI/CD pipelinesStrong understanding of data structures, algorithms, and distributed systemsExperience with SQL and NoSQL databasesFamiliarity with monitoring, observability, and logging toolsUnderstanding of AI governance, responsible AI, and enterprise security standardsExperience with Git, GitHub/GitLab, Jira, and Agile methodologiesNice to Have SkillsExperience in banking or financial services domainKnowledge of AI workflow orchestration and multi-agent collaboration systemsFamiliarity with MLOps and LLMOps practicesExperience with GPU optimization and model fine-tuningExposure to Neo4j or knowledge graph technologiesExperience building conversational AI or intelligent automation platformsRoles & ResponsibilitiesDesign and develop enterprise-grade Agentic AI applications and intelligent autonomous systemsBuild AI agents capable of reasoning, planning, memory management, and task orchestrationDevelop scalable RAG pipelines and integrate enterprise knowledge sourcesCollaborate with business and technology teams to identify AI-driven automation opportunitiesIntegrate LLMs, APIs, databases, and external tools into agentic workflowsOptimize AI model performance, latency, scalability, and cost efficiencyEnsure AI applications follow enterprise security, governance, and compliance standardsDevelop reusable frameworks, accelerators, and best practices for AI engineeringParticipate in architecture discussions, code reviews, and technical mentoringMonitor, troubleshoot, and enhance production AI systemsWork within Agile/Scrum teams to deliver high-quality AI solutionsPreferred QualificationsBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fieldStrong analytical, communication, and problem-solving skillsAbility to work in a fast-paced enterprise environmentPassion for innovation, emerging AI technologies, and continuous learning