Junior AI Engineer
At a glance
Junior AI Engineering role at WonderBotz. Ahmedabad · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build LLM applications such as RAG pipelines and agent workflows, with senior engineers overseeing your work
- Create retrieval features with vector databases and semantic search to ground responses in enterprise information
- Connect GenAI components to business systems through REST APIs, webhooks and cloud services
- Prepare design documents, evaluation reports and deployment notes, and help maintain CI/CD and monitoring
- Raise model, data quality or security risks with senior engineers and project leads
What you bring
- A bachelor's degree in computer science, IT, engineering or equivalent education and experience
- Up to three years of professional software development, with GenAI or LLM projects a strong plus
- Python proficiency and a basic grasp of LLMs, prompt engineering and RAG architectures
- Working knowledge of REST APIs, AWS or Azure, Git or GitHub, and basic CI/CD
Who this fits
This junior role suits someone keen to develop GenAI engineering skills under senior guidance and open to feedback. You'll collaborate with automation, data and platform teams, and work from the office in Ahmedabad.
From the employer
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.