🚀 We’re Hiring: Senior AI Engineer

📍 Location: Gurgaon

🔑 Key Responsibilities

• Build and fine-tune LLM-powered applications using GPT models and open-source alternatives.

• Design and implement RAG (Retrieval-Augmented Generation) pipelines for domain-specific AI use cases.

• Develop and maintain AI agents capable of autonomous task execution and reasoning.

• Integrate speech-to-text (STT), transcription, and TTS (Text-to-Speech) systems for real-time analytics.

• Implement call analytics solutions (intent detection, sentiment analysis, conversation summarization).

• Write efficient, production-grade Python code for AI pipelines and backend services.

• Collaborate with product and design teams to create intuitive React-based front-ends for AI apps.

• Deploy solutions on cloud with scalability, monitoring, and MLOps best practices.

• Stay up to date with the latest trends in Generative AI, agentic systems, and multimodal AI.

• Lead the design and implementation of advanced RAG architectures, including hybrid search, reranking models, and semantic retrieval strategies.

• Build agentic workflows and multi-agent systems using modern orchestration frameworks.

• Design prompt engineering strategies including prompt chaining, structured outputs, guardrails, and evaluation frameworks.

• Integrate LLM-based services into backend systems via microservices architectures and API-first design.

• Design high-performance AI inference pipelines supporting low latency and high throughput.

• Lead AI architecture decisions and mentor junior engineers in best practices for production AI systems.

• Collaborate with backend, and DevOps teams to build end-to-end AI platforms.

• Implement AI workflow orchestration, tool usage, and reasoning pipelines for complex automation use cases.

✅ Required Skills & Qualifications

• Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or a related field.

• 3–4+ years of experience in AI/ML engineering, backend development, or Generative AI systems.

• Strong proficiency in Python and AI frameworks such as FastAPI, LangChain, LlamaIndex, and Hugging Face.

• Hands-on experience with LLMs, RAG architectures, vector databases, embeddings, and reranking models.

• Expertise in Generative AI frameworks, agentic AI systems, autonomous workflows, and tool-calling architectures.

• Experience with modern LLM APIs and open-source models including GPT, Claude, Llama, and Mistral.

• Strong understanding of prompt engineering, semantic search, and hallucination mitigation techniques.

• Experience deploying AI applications using Docker, Kubernetes, and cloud platforms.

• Familiarity with React.js, speech technologies (ASR/STT/TTS), API development, and AI model monitoring.