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Ahmedabad · On-site · 3-6 Yrs · Oct 20
Information Technology Support Services · 201 to 500 Employees · Princeton, US
Employee connectedness, innovation, and passion have been under assault by workplace monotony and inefficiencies. Now more than ever, we believe that restoring humanity in business is critical to organizational success and value creation. We are an award-winning, straight-talking, one-stop intelligent automation and hyperautomation service provider that fast-tracks better business outcomes for our clients, no matter what. Our dedicated team has individually and collectively amassed an impressive collection of industry-recognized certifications. Combine that with extensive experience and enthusiasm and you can see why we’re garnering accolades and awards along the way. Most importantly, we have happy clients.
Hiring: Engineering
What employees say
+ Flexible Supportive HRs Exposure to various tools
− nothing as of now ......a better planning and still management can improve
More reviews on the company profile.
Interview experience · Senior Conultant
Filtering process based on resume and exp and skill sets on uipath, BP and power automate Technical round manager round and HR discussion, Offer negotiation Salary negotiation and notice period buyout
Difficult difficulty · Bengaluru · 3 reports
More interview insightsJob description
Overview
Developer Role and Responsibilities
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
- 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
- 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
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Job application FAQ
Last updated 25 October 2026
- How do I apply for Junior AI Engineer at WonderBotz?
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- Is Junior AI Engineer remote or on-site in Ahmedabad, Gujarat?
- This listing is marked on_site with location Ahmedabad, Gujarat. Confirm details on the job description before applying.
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- This is a entry-level / fresher Junior AI Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.