AI Engineer
AI Engineer
Posted on :
09-07-2025
Employer Active
1 Vacancy
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Job Description
About the Company:
Jetbro is a dynamic digital agency specializing in bespoke development solutions for websites mobile applications and business applications. We are at the forefront of AI-driven projects offering innovative and cutting-edge solutions to our clients. As we continue to expand we are seeking a skilled AI Engineer to build and maintain high-performance scalable systems.
Key Responsibilities:
- Integrate and orchestrate OpenAI Gemini and other LLM APIs to power features such as:
- Essay & Recommendation Brainstorming (Voice & Text)
- AI-driven Evaluation and Scoring
- Contextual voice-based guidance via Ivy (Text-to-Speech prompt control)
- Build and fine-tune prompt-response workflows input-output schemas fallback handling and session management.
- Convert speech inputs to structured text using Speech-to-Text APIs and implement Text-to-Speech outputs for voice-based interactions.
- Set up and manage Vector Databases (e.g. Pinecone Weaviate AstraDB) to store and retrieve semantically indexed essay data.
- Collaborate with backend frontend and QA teams to ensure smooth flow of AI-driven features across the platform.
- Evaluate and continuously improve AI output quality by testing prompt variations and refining scoring logic.
Requirements
Mandatory Requirements:
- 1 1.5 years of hands-on experience building with LLM APIs (OpenAI Gemini Claude etc.)
- 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)
- Basic understanding of AI evaluation techniques (prompt tuning hallucination handling response scoring
Good to Have:
- 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)
- Demonstrated ability to iterate quickly and adapt to changing LLM capabilities
Benefits
Benefits:
- Work on mission-critical real-world projects that impact large-scale operations
- A lean no-nonsense tech culture built on ownership accountability and growth
- Direct access to decision-makers no red tape
- Flexibility in work location and timings
- Regular feedback performance reviews and learning opportunities
1 1.5 years of hands-on experience building with LLM APIs (OpenAI, Gemini, Claude, etc.) 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) Basic understanding of AI evaluation techniques (prompt tuning, hallucination handling, response scoring
Education
Graduate or Post-Graduate
Employment Type
Full Time
Key Skills
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