Junior AI Engineer
WonderBotz — Ahmedabad, Gujarat
₹5–8 LPA (HireSetu estimate) · 0–3 yrs exp · Freshers eligible · Full-time · remote · Apply by 17 Dec 2026
HireSetu listing reference 63bb1a · employer requisition RBPIL43IH6 — confirm requirements below, then apply on the employer site.
Quick answer: This is genuine entry-level GenAI engineering: Python, RAG pipelines and small agents built under senior engineers, inside a company whose core business is process automation. The posting says work from office in Ahmedabad, so settle the location question early.
From WonderBotz's job posting
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
- 0–3 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.
Text from WonderBotz's official job posting, formatted by HireSetu. The employer's own page is the final word on details.
HireSetu's note
You build to someone else's design
Zero to three years is being read literally here, and internships plus personal LLM projects count as experience. Day to day you'd wire up components: a retrieval step over ChromaDB, a prompt that needs tuning, an agent flow in LangGraph, then testing it and writing up what you did. Solution design, feasibility calls with stakeholders and anything genuinely complex go up to senior engineers. It's a sound way into the field, and it means the architecture decisions sit above you for a while.
WonderBotz's core business is RPA: Blue Prism and code-based automation. A slice of the GenAI work lands inside automation clients already run, adding AI decisioning on top. Enterprise data, existing exception handling, someone's live process. One RAG project you built end to end, with a clear account of why you picked your chunking and embedding, tells you more about your fit than another certificate.
Settle the working setup
Fix one thing before anything else: the tag on this listing says remote, the posting text says Ahmedabad and work from office. Go with the posting and raise the mismatch early, because a daily Ahmedabad commute is a different decision from logging in from home.
Ask which models you'd actually touch. The OpenAI API and offline, self-hosted options both appear, and that split decides how much you pick up about deployment and serving. Also ask whether you'd sit on one client account or move between several, and how much of your week is maintaining existing automation against building new GenAI features.
Drafted with AI from WonderBotz's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.
How to apply
- Open WonderBotz's careers site with the Apply button.
- Follow the application steps on the site and upload your resume.
- Keep the confirmation email or application number for follow-up.
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