Junior AI Engineer

Developer Role and Responsibilities

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.

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

Qualifications and Skills

Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent education and experience

0–3 years 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

Desired Characteristics in Candidates

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

Compensation and Start Dates

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.