AI Engineer

Experience: 4+ years in software engineering, including 2+ years building AI/ML-powered products Location: Bangalore Work Mode: Onsite Employment Type: Full-Time Budget: ₹25–28 LPA maximum Shift: Rotational Notice Period: To be confirmed Interview Process: 3 technical rounds via video Mandatory Skills Strong Python programming and software engineering fundamentals, including testing, version control, code reviews, and API design. Hands-on experience with LLMs and frameworks such as LangChain, LlamaIndex, or Semantic Kernel. End-to-end RAG development, including vector databases and embedding models. Experience with cloud AI platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, or Databricks. Experience with speech technologies such as Whisper, Azure Speech, Google STT/TTS, or ElevenLabs. LLM evaluation, quality assessment, and systematic debugging. Docker, Kubernetes or serverless deployment, and CI/CD pipelines. Excellent communication skills and the ability to explain technical concepts and trade-offs to non-technical stakeholders. Good to Have Generative video models such as Veo, Sora, Runway, or Pika. Media processing using FFmpeg, lip-sync, and subtitle generation. Fine-tuning, LoRA/PEFT, or model distillation. Real-time audio streaming and low-latency voice agents. React/TypeScript, multilingual AI solutions, and localization. GDPR, EU AI Act, or GxP knowledge. MLOps/LLMOps tools such as MLflow, LangSmith, or Weights & Biases. Role Responsibilities Build and productionize RAG-based chatbots and AI assistants. Integrate LLMs, embedding models, vector databases, and cloud AI services. Develop speech-to-text and text-to-speech solutions. Evaluate model performance and troubleshoot AI quality issues. Deploy, monitor, and maintain scalable AI applications. Collaborate with product, infrastructure, business, and compliance teams. Interested candidates must have strong hands-on Python, LLM, RAG, cloud AI, and speech technology experience. Excellent communication skills are essential.