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.