Job Overview

Wonderbotz is hiring a Junior AI Engineer for a full-time opportunity in Ahmedabad. The role is part of the Delivery function and is positioned at the Mid Level. The selected candidate will work under the guidance of senior engineers to help design, build, test, and deploy Generative AI and Agentic AI solutions that automate business processes and support enterprise workflows.

The role covers the AI solution delivery lifecycle, including solution design, prompt and agent development, testing, deployment, documentation, and integration with enterprise systems. Candidates will contribute to LLM-powered applications while developing practical expertise in GenAI engineering practices.

Key Responsibilities

• Assist with designing and developing LLM-powered applications, including RAG pipelines, agentic workflows, and simple multi-step agents using LangChain and LangGraph.
• Build and maintain retrieval components using vector databases such as ChromaDB and semantic search to ground LLM responses in enterprise data.
• Apply Prompt Engineering techniques to improve the accuracy and reliability of LLM-based solutions using hosted OpenAI API and offline or self-hosted models.
• Support technical discussions with internal stakeholders regarding solution feasibility and implementation approaches, escalating complex decisions to senior engineers.
• Help integrate GenAI components with enterprise systems through REST APIs, webhooks, and cloud services including AWS Lambda and Azure.
• Contribute to modernization of existing RPA and automation assets, including Blue Prism and code-based automation frameworks, by supporting AI-driven decisioning features.
• Assist with AI solution deliverables such as solution design documents, test and evaluation reports, and deployment notes.
• Support CI/CD and monitoring practices for AI applications using Git, GitHub Actions, Jenkins, and Splunk.
• Help identify and flag risks associated with model performance, data quality, and security to senior engineers and project leads.

Required Skills and Qualifications

• 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.
• 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 such as AWS and Azure.
• Familiarity with Git, GitHub, and basic CI/CD concepts.
• Exposure to RPA or process automation tools such as Blue Prism, UiPath, or Automation Anywhere is beneficial but not required.
• Willingness to learn IT delivery methodologies including Agile, Lean, and ITIL.
• Strong problem-solving fundamentals and eagerness to develop technical and delivery skills.

Desired Characteristics

• Self-motivated and eager to learn and grow in Generative AI and Agentic AI.
• Good communication skills and comfort 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 and able to collaborate 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.

Education and Experience

The position requires a Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent education and experience. The stated professional experience range is 0–3 years. Internships, academic projects, or personal projects involving GenAI or LLMs are identified as a strong plus.

Technologies

• Python – Required programming language for the role.
• LangChain and LangGraph – Used for LLM-powered applications, agentic workflows, and multi-step agents.
• ChromaDB – Used for retrieval components and vector-based search.
• OpenAI API – Used with hosted LLM solutions.
• REST API – Used for integrating GenAI components with enterprise systems.
• AWS Lambda and Azure – Cloud technologies referenced for enterprise integrations.
• Git, GitHub Actions, Jenkins, and Splunk – Used in CI/CD and monitoring practices.
• C#, JavaScript, and SQL – Additional technologies for which working knowledge is a plus.
• RAG, LLMs, Generative AI, AI Agents, and Prompt Engineering – Core AI concepts and technologies referenced by the role.

RPA and Automation Exposure

Exposure to RPA or process automation platforms such as Blue Prism, UiPath, or Automation Anywhere is a plus but is not required. The role also includes contributing to modernization of existing automation assets with AI-driven decisioning capabilities.

Work Mode & Location

The job is based in Ahmedabad, Gujarat, India. The JD explicitly states Work from Office, so the work mode is onsite.

Compensation and Start Date

The company is hiring for an immediate start. The JD states that the salary will be a competitive base and bonus determined by level and experience. Specific salary amounts are not provided.

The listed benefits are Group Medical, Vacation, and Holidays, with asterisks included in the source JD.

How to Apply

Apply now through SoftoJobs to explore this opportunity.