Gen AI Engineer with Agentic AI- Claude AI

We are:At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets. Our challenge:We are seeking an innovative and experienced Generative AI (GenAI) / Agentic AI Developer to design, develop, and deploy advanced AI-powered applications leveraging Large Language Models (LLMs), autonomous AI agents, Retrieval-Augmented Generation (RAG), and multi-agent systems. The ideal candidate will have hands-on experience building AI solutions using modern frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI, Anthropic Claude, and open-source LLM technologies.The successful candidate will collaborate with business stakeholders, architects, data scientists, and engineering teams to deliver enterprise-grade AI solutions that automate complex workflows, improve productivity, and create intelligent customer experiences. Additional Information*The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $100k - $110k/year & benefits (see below). The RoleResponsibilities:Design, develop, and deploy GenAI and Agentic AI solutions for enterprise use cases.Build autonomous and multi-agent systems capable of reasoning, planning, and executing tasks.Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.Integrate Large Language Models (LLMs) such as GPT, Claude, Llama, Gemini, and Mistral into business applications.Develop AI copilots, virtual assistants, intelligent chatbots, and workflow automation solutions.Design and implement prompt engineering, agent orchestration, tool calling, and memory management frameworks.Build scalable APIs and microservices supporting AI-powered applications.Optimize AI model performance, latency, cost, and response quality.Implement model guardrails, security controls, observability, and governance standards.Collaborate with data engineering teams to build ingestion, indexing, and semantic search capabilities.Develop evaluation frameworks for AI model accuracy, hallucination detection, and response quality.Participate in architecture reviews, code reviews, and technical design discussions.Stay current with emerging advancements in Agentic AI, LLMs, and AI orchestration frameworks. Required Skills:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.4+ years of software development experience.2+ years of hands-on experience developing Generative AI solutions.Strong knowledge of LLM architectures, prompt engineering, and AI application development.Experience designing and deploying AI applications in cloud environments.Strong analytical, problem-solving, and communication skills.Experience working in Agile/Scrum development environments. Preferred, but not required:Experience building enterprise AI Copilots.Experience with AI agent evaluation and benchmarking frameworks.Knowledge of fine-tuning, LoRA, and model optimization techniques.Experience implementing Responsible AI and AI Governance practices.Familiarity with Knowledge Graphs and Graph Databases.Experience with Databricks, Snowflake, or Vector-enabled Data Platforms.Knowledge of MCP (Model Context Protocol) and AI interoperability standards.Experience integrating AI agents with ERP, CRM, ITSM, and business applications. We offer:A highly competitive compensation and benefits package.A multinational organization with 58 offices in 22 countries and the possibility to work abroad.10 days of paid annual leave (plus sick leave and national holidays).Maternity & paternity leave plans.A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).Retirement savings plans.A higher education certification policy.Commuter benefits (varies by region).Extensive training opportunities, focused on skills, substantive knowledge, and personal development.On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curate