Senior AI Engineer (Generative AI & Agentic Systems)
WonderBotz16 hours ago
Remote, WorldwideSenior
Responsibilities
- Design and develop LLM-powered applications, RAG pipelines, agentic workflows, and multi-step autonomous agents.
- Build and optimize retrieval architectures using vector databases and semantic search.
- Apply prompt engineering to improve the accuracy, reliability, and cost-efficiency of LLM solutions.
- Integrate AI solutions with enterprise systems through APIs, webhooks, and cloud services.
- Extend or modernize RPA and automation assets with AI-driven decisioning and self-healing capabilities.
- Serve as a technical point of contact for clients and internal stakeholders on AI solution design, feasibility, and delivery timelines.
- Coordinate solution design documents, evaluation reports, deployment runbooks, and other AI deliverables.
- Establish CI/CD and monitoring practices for AI applications.
- Identify and mitigate risks involving model performance, data quality, security, development, testing, and deployment.
- Mentor junior developers and promote GenAI best practices.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent education and experience.
- 5–8 years of software development experience, including at least 2 years building Generative AI or Agentic AI applications in production.
- Hands-on experience with LangChain, LangGraph, and LLM APIs such as OpenAI API or equivalent.
- Strong understanding of RAG architectures, prompt engineering, and vector databases such as ChromaDB or similar.
- Proficiency in Python and working knowledge of C#, JavaScript, and SQL.
- Experience with AWS Lambda, Amazon DynamoDB, Azure, and enterprise system integration.
- Experience with Git/GitHub, GitHub Actions, Jenkins, and application monitoring tools such as Splunk.
- RPA or process automation experience with Blue Prism, UiPath, or Automation Anywhere is a strong plus.
- Understanding of Agile, Lean, and ITIL delivery methodologies.
- Strong planning, problem-solving, communication, technical leadership, organization, collaboration, and mentoring skills.
- Ability to translate technical AI concepts for non-technical stakeholders and guide projects through implementation.
Benefits
- Competitive base salary and bonus determined by level and experience.
- Immediate-start hiring is available.
- Equal Employment Opportunity employer.
Tech Stack
Categories
About WonderBotz
WonderBotz provides intelligent automation consulting and managed services, building RPA solutions on platforms such as UiPath and Automation Anywhere for enterprise clients. Its offerings include RPA-as-a-Service, finance and accounting solutions, cloud hosting and migrations, license resale, training, and staff augmentation. Founded in 2017 and headquartered in Princeton, New Jersey, the privately held firm delivers process discovery through production automation and supports OCR/IDP, NLP, and machine-learning integrations.