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 Lang Chain and Lang Graph, 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, Git Hub 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 60;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 Lang Chain or Lang Graph is a plus Proficiency in Python; working knowledge of C#, Java Script, or SQL is a plus Basic understanding of REST APIs and cloud platforms (AWS, Azure) Familiarity with Git/Git Hub 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 Advantages: 60;Group Medical , Vacation, Holidays Location: Ahmedabad and Work from Office Wonder Botz is an Equal Employment Opportunity employer.

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📌 Junior AI Engineer (India)
🏢 WonderBotz
📍 India