AI Engineer

You will be joining Jetbro, a dynamic digital agency that specializes in bespoke development solutions for websites, mobile applications, and business applications. The company is at the forefront of AI-driven projects, offering innovative and cutting-edge solutions to its clients. As the company continues to expand, they are looking for a skilled AI Engineer to build and maintain high-performance, scalable systems. Your responsibilities will include integrating and orchestrating OpenAI, Gemini, and other LLM APIs to power features such as Essay & Recommendation Brainstorming (Voice & Text), AI-driven Evaluation and Scoring, and Contextual, voice-based guidance via Ivy (Text-to-Speech + prompt control). You will also be tasked with building and fine-tuning prompt-response workflows, input-output schemas, fallback handling, and session management. Additionally, you will need to convert speech inputs to structured text using Speech-to-Text APIs, and implement Text-to-Speech outputs for voice-based interactions. Setting up and managing Vector Databases (e.g., Pinecone, Weaviate, AstraDB) to store and retrieve semantically indexed essay data will also be part of your role. Collaboration with backend, frontend, and QA teams to ensure smooth flow of AI-driven features across the platform is essential. Furthermore, you will be responsible for evaluating and continuously improving AI output quality by testing prompt variations and refining scoring logic. Mandatory requirements for this position include 1.5 years of hands-on experience building with LLM APIs (OpenAI, Gemini, Claude, etc.), a strong grasp of prompt engineering, including role prompting, temperature control, and context design, experience working with Python and integrating APIs in live products, familiarity with Text-to-Speech and Speech-to-Text workflows (OpenAI Whisper, Google Cloud STT/TTS, etc.), exposure to using or querying Vector Databases (e.g., Pinecone or similar), and basic understanding of AI evaluation techniques (prompt tuning, hallucination handling, response scoring). Good to have qualifications include experience with LangChain, LlamaIndex, or agent frameworks, working knowledge of FastAPI or Django to support backend integration, familiarity with Voice UX or chatbot design, comfort with versioning tools (Git), JSON handling, and API testing tools (Postman), and demonstrated ability to iterate quickly and adapt to changing LLM capabilities. In return, you can expect to work on mission-critical, real-world projects that impact large-scale operations at Jetbro. The company has a lean, no-nonsense tech culture built on ownership, accountability, and growth, with direct access to decision-makers and no red tape. You will enjoy flexibility in work location and timings, regular feedback, performance reviews, and learning opportunities.,