Junior AI Engineer

WonderBotz LLC.; Ahmedabad District; On-site; INR 600,000 - 900,000; Full time

Benefits offered by this job

Group Medical

Vacation

Holidays

Job summary

WonderBotz is hiring a Developer to design, build, and deploy Generative AI solutions that automate business processes and augment enterprise workflows. You will work with senior engineers across the delivery lifecycle, from design to testing and deployment, coding LLM-powered components and contributing to documentation.

The role involves collaborating with automation, data, and platform teams, applying prompt engineering, and integrating GenAI into existing systems via REST APIs and cloud

Qualifications

• Bachelor's degree in CS, IT, Engineering or equivalent.
• 0–3 years of software development experience; GenAI/LLMs internships or projects are a strong plus.
• Foundational understanding of LLMs, prompt engineering, and RAG architectures; LangChain/LangGraph exposure is a plus.
• Proficiency in Python; working knowledge of JS/C# or SQL is a plus.
• Basic understanding of REST APIs and cloud platforms (AWS, Azure).
• Familiarity with Git/GitHub and 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 and eagerness to grow technical and delivery skills.

Responsibilities

• Assist in designing and developing LLM-powered applications, including RAG pipelines and agentic workflows under senior guidance.
• Build and maintain retrieval components using vector databases and semantic search to ground LLMs in enterprise data.
• Apply prompt engineering techniques to improve accuracy and reliability of LLM-based solutions.
• Support discussions with stakeholders on feasibility and approach, escalating complex decisions to seniors.
• Integrate GenAI components with enterprise systems via REST APIs, webhooks, and cloud services (AWS Lambda, Azure).
• Contribute to modernizing RPA/automation assets by assisting AI-driven decisioning features.
• Develop and document AI solution deliverables (design docs, test/eval reports, deployment notes).
• Support CI/CD and monitoring practices using Git, GitHub Actions, Jenkins, and Splunk.
• Flag risks related to model performance, data quality, and security to seniors and leads.

Skills

Python

REST APIs

Git/GitHub

CI/CD

LangChain/LangGraph

ChromaDB

AWS/Azure

Education

Bachelor's degree in CS/IT/Engineering or equivalent

Tools

LangChain

LangGraph

ChromaDB

AWS

Azure

GitHub Actions

Jenkins

Job description

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.

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

Qualifications and Skills

• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent education and experience
• 0–3years 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.