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Senior AI Engineer (Generative AI & Agentic Systems)

Senior AI Engineer (Generative AI & Agentic Systems)

WonderBotz
5-8 Years
  • Posted 15 hours ago
  • Be among the first 10 applicants

Job Description

Developer Role and Responsibilities :

In this role, you will design, build, and deploy production-grade Generative AI and Agentic AI solutions that automate complex business processes and augment enterprise workflows. You will work across the full delivery lifecycle, from solution design and prompt/agent architecture through development, evaluation, and deployment, partnering closely with automation, data, and platform teams. Responsibilities will include hands-on development of LLM-powered applications, technical solutioning with stakeholders, and mentoring of junior developers on GenAI best practices. You will work closely with our team of award-winning business and technical specialists and leaders.

Key Responsibilities :

  • Design and develop LLM-powered applications, including RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, and multi-step autonomous agents using frameworks such as LangChain and LangGraph
  • Build and optimize retrieval architectures using vector databases (e.g., ChromaDB) and semantic search to ground LLM responses in enterprise data
  • Apply prompt engineering techniques to improve accuracy, reliability, and cost-efficiency of LLM-based solutions across both hosted (OpenAI API, Claude Code, Claude) and offline/self-hosted models
  • Serve as a technical point of contact for clients and internal stakeholders on AI solution design, feasibility, and delivery timelines
  • Integrate GenAI solutions with existing enterprise systems via REST APIs, webhooks, and cloud services (AWS Lambda, Azure) to ensure secure, scalable deployment
  • Extend or modernize existing RPA/automation assets (e.g., Blue Prism, code-based automation frameworks) by incorporating AI-driven decisioning and self-healing capabilities
  • Coordinate the development, review, and documentation of AI solution deliverables (solution design documents, evaluation reports, deployment runbooks)
  • Establish CI/CD and monitoring practices for AI applications using tools such as Git, GitHub Actions, Jenkins, and Splunk
  • Identify risks related to model performance, data quality, and security; mitigate roadblocks during development, testing, or deployment

Qualifications And Skills

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent education and experience
  • Minimum 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 LLM application frameworks (LangChain, LangGraph) and LLM APIs (OpenAI API or equivalent)
  • Strong understanding of RAG architectures, prompt engineering, and vector databases (e.g., ChromaDB or similar)
  • Proficiency in Python; working knowledge of C#, JavaScript, and SQL
  • Experience with cloud platforms and services (AWS Lambda, Amazon DynamoDB, Azure) and REST API integration
  • Experience with DevOps tooling (Git/GitHub, GitHub Actions, Jenkins) and application monitoring (e.g., Splunk)
  • Background in RPA or process automation (e.g., Blue Prism, UiPath, or Automation Anywhere) is a strong plus
  • Understanding of IT delivery methodologies (Agile, Lean, ITIL)
  • Excellent planning, problem-solving, and technical leadership skills

Desired characteristics in candidates :

  • Self-motivated and able to take initiative with minimal supervision. Senior AI Developer (Generative AI & Agentic Systems)
  • Effective communicator, able to translate technical AI concepts for non-technical stakeholders
  • Highly organized and methodical, while comfortable adapting to changing requirements
  • Strong analytical and problem-solving skills, with a bias toward experimentation and iteration
  • High emotional intelligence and cross-functional collaboration skills
  • Demonstrated willingness to dive into implementation details to guide projects to completion
  • Team-oriented, with an interest in mentoring and knowledge-sharing
  • Curious and committed to staying current with the fast-evolving GenAI/Agentic AI landscape

Compensation And Start Dates

  • Hiring now for immediate start
  • Salary: Competitive base and bonus determined by level and experience

WonderBotz is an Equal Employment Opportunity employer.

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Key Skills

vector databases

LangGraph

GitHub Actions

ChromaDB

LLM application frameworks

RAG architectures

LangChain

Generative AI

REST API integration

OpenAI API

Agentic AI

About Company

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