Junior AI Engineer

In this role you will help design build and deploy Generative AI and Agentic AI solutions that automate business processes and augment enterprise workflows working under the guidance of senior engineers. You will support work across the delivery lifecycle from solution design and prompt/agent development through testing and deployment partnering closely with automation data and platform teams. Responsibilities will include hands-on coding of LLM-powered components contributing to technical documentation and building your expertise in GenAI engineering best practices. You will work closely with our team of award-winning business and technical specialists and leaders.

Key Responsibilities:

• Assist in designing and developing LLM-powered applications including RAG (Retrieval-Augmented Generation) pipelines agentic workflows and simple multi-step agents using frameworks such as LangChain and LangGraph under senior engineer guidance
• Build and maintain retrieval components using vector databases (e.g. ChromaDB) and semantic search to help ground LLM responses in enterprise data
• Apply prompt engineering techniques with support from senior team members to improve the accuracy and reliability of LLM-based solutions using hosted (OpenAI API) and offline/self-hosted models
• Support technical discussions with internal stakeholders on solution feasibility and implementation approach escalating complex decisions to senior engineers
• Help integrate GenAI components with existing enterprise systems via REST APIs webhooks and cloud services (AWS Lambda Azure)
• Contribute to modernizing existing RPA/automation assets (e.g. Blue Prism code-based automation frameworks) by assisting with AI-driven decisioning features
• Assist in the development and documentation of AI solution deliverables (solution design documents test/evaluation reports deployment notes)
• Support CI/CD and monitoring practices for AI applications using tools such as Git GitHub Actions Jenkins and Splunk
• Help identify and flag risks related to model performance data quality and security to senior engineers and project leads

• Bachelors degree in Computer Science Information Technology Engineering or equivalent education and experience
• 03years of professional software development experience; internships academic projects or personal projects involving GenAI/LLMs are a strong plus
• Foundational understanding of LLM concepts prompt engineering and RAG architectures; hands-on exposure to LangChain or LangGraph is a plus
• Proficiency in Python; working knowledge of C# JavaScript or SQL is a plus
• Basic understanding of REST APIs and cloud platforms (AWS Azure)
• Familiarity with Git/GitHub and basic CI/CD concepts
• Exposure to RPA or process automation tools (Blue Prism UiPath or Automation Anywhere) is a plus but not required
• Willingness to learn IT delivery methodologies (Agile Lean ITIL)
• Strong problem-solving fundamentals and eagerness to grow technical and delivery skills

• Self-motivated with a strong eagerness to learn and grow in the GenAI/Agentic AI space
• Good communicator comfortable asking questions and seeking feedback from senior team members
• Detail-oriented and methodical approach to coding testing and documentation
• Curious proactive and receptive to feedback and mentorship
• Team-oriented collaborating well with senior engineers and cross-functional peers
• Adaptable to changing priorities in a fast-evolving technology area
• Strong work ethic and ownership of assigned tasks

• Hiring now for immediate start
• Salary: Competitive base and bonus determined by level and experience
• Benefits:Group Medical Vacation Holidays
• Location: Ahmedabad and Work from Office

WonderBotz is an Equal Employment Opportunity employer.