Senior AI Engineer – Generative AI, Agentic Systems

🔥 45 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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WonderBotz

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2017

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

WonderBotz is a company that specializes in delivering AI-powered automation solutions to improve business outcomes. They offer a range of services including Automation as a Service, software testing, AI solutions, and various automation support services. WonderBotz utilizes Intelligent Automation, combining Robotic Process Automation with AI to streamline and enhance complex business processes across various industries such as finance, healthcare, and retail.

📋 Description

• Design, develop, and deploy production-grade Generative AI and Agentic AI solutions • Build LLM-powered applications, RAG pipelines, agentic workflows, and multi-step autonomous agents • Build and optimize retrieval architectures using vector databases and semantic search • Apply prompt engineering to improve accuracy, reliability, and cost-efficiency of LLM solutions • Serve as a technical point of contact for clients and internal stakeholders on AI solution design, feasibility, and delivery timelines • Integrate GenAI solutions with enterprise systems via REST APIs, webhooks, and cloud services • Extend or modernize RPA and automation assets with AI-driven decisioning and self-healing capabilities • Coordinate development, review, and documentation of AI solution deliverables • Establish CI/CD and monitoring practices for AI applications • Identify and mitigate risks related to model performance, data quality, and security • Mentor junior developers on Generative AI best practices • Partner with automation, data, and platform teams across the delivery lifecycle

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent education and experience • Minimum 5–8 years of software development experience, including at least 2 years building Generative AI or Agentic AI applications in production • Hands-on experience with LLM application frameworks such as LangChain and LangGraph • Experience with LLM APIs such as OpenAI API or equivalent • Strong understanding of RAG architectures, prompt engineering, and vector databases such as ChromaDB or similar • Proficiency in Python; working knowledge of C#, JavaScript, and SQL • Experience with AWS Lambda, Amazon DynamoDB, Azure, and REST API integration • Experience with Git/GitHub, GitHub Actions, Jenkins, and application monitoring such as Splunk • Background in RPA or process automation such as Blue Prism, UiPath, or Automation Anywhere is a strong plus • Understanding of Agile, Lean, and ITIL delivery methodologies • Excellent planning, problem-solving, and technical leadership skills • Effective communication with non-technical stakeholders • Willingness to mentor and share knowledge • Legally authorized to work in India • Willingness to undergo a background check in accordance with local laws and regulations

🏖️ Benefits

• Competitive base and bonus determined by level and experience

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