Kata.ai is looking for an AI Engineer to design, build, and deploy production-grade AI systems. You will create LLM-powered conversational agents, RAG pipelines, NLP workflows, and voice AI integrations to deliver intelligent and measurable solutions for our enterprise clients.
What You'll Do
- Design, build, and deploy production-grade AI systems.
- Deliver intelligent, reliable, and measurable AI solutions for enterprise clients across government, financial services, healthcare, and telecommunications sectors.
- Enable clients to automate customer interactions at scale with high accuracy, low latency, and strong business impact.
What We're Looking For
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Computational Linguistics, or a related field.
- Proficiency in Python.
- Experience using FastAPI for AI service exposure.
Nice to Have
- Master's degree in AI/ML.
- Relevant certifications such as GCP AI/ML or DeepLearning.AI.
Technical Stack
- Models: OpenAI GPT-4o, Anthropic Claude, Google Gemini, Open-source models (LLaMA, Mistral, Qwen)
- Frameworks: LangChain, LlamaIndex, CrewAI, LangSmith, Langfuse
- Vector Databases: Pinecone, Weaviate, Qdrant, pgvector
- Voice AI: LiveKit Agents SDK, STT integrations (Deepgram, Google Speech-to-Text, Whisper), TTS integrations (ElevenLabs, Google TTS)
- Cloud & Infrastructure: GCP or Azure for AI/ML workload deployment, Vertex AI, Azure OpenAI, Cloud Run
- Evaluation & Deployment: RAGAS, DeepEval, Docker, Kubernetes for deploying AI services
Team & Environment
You will work closely with Backend, Frontend, and QA teams to ensure AI components integrate cleanly into the full product.
Company Culture
- Agile/Scrum mindset with comfort operating in sprint-based delivery cycles.
- Keeps up with the fast-moving AI landscape and proactively identifies relevant new tools, models, or techniques applicable to the team.
