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
- 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
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent education and experience
- 0-3 years of professional software development experience
- Foundational understanding of LLM concepts, prompt engineering, and RAG architectures
- Proficiency in Python
- Basic understanding of REST APIs and cloud platforms such as AWS and Azure
- Familiarity with Git and GitHub and basic CI/CD concepts
- Willingness to learn Agile, Lean, and ITIL delivery methodologies
- Strong problem-solving fundamentals and eagerness to grow technical and delivery skills
- Hands-on exposure to LangChain or LangGraph
- Working knowledge of C#, JavaScript, or SQL
- Exposure to RPA or process automation tools such as Blue Prism, UiPath, or Automation Anywhere
- Internship, academic project, or personal project experience involving Generative AI or LLMs
What We Do
WonderBotz was founded by two former Big4 Partners who knew there was a better way to solve business challenges using Intelligent Automation. Over time, these values have translated into several award-winning F&A solutions and a globally recognized boutique firm made up of some of the best and brightest talent in the RPA and Intelligent Automation space. Our offerings include: ✔Fully Managed RPA as a Service (RPAaaS) ✔Finance & Accounting Solutions as a Service ✔Hosted Cloud & Migration Services ✔Traditional RPA License Resellers (VAR) ✔IA Training & Enablement ✔RPA Professional Services ✔Staff Augmentation & Developer Podz ✔OCR, IDP, NLP, ML & AI Advisory & Implementation We believe in "Restoring Humanity. Now." The future of employee connectedness, innovation, and passion have been stifled by workplace monotony and inefficiencies. Now more than ever, we believe that restoring humanity in business is critical to organizational success, talent retention and acquisition, and crucial to maintaining a competitive advantage.
