Agentic Ai Engineer

2 weeks ago

Bengaluru, Karnataka, India Weekday AI Full time

This role is for one of the Weekday's clients

Salary range: Rs Rs ie INR 5-8 LPA)Min Experience: 3 years

Location: bangalore

JobType: full-time

As an Agentic AI Engineer, you will design and build advanced AI-driven voice and conversational systems using LLMs, agentic frameworks, and speech intelligence models. This role involves developing scalable AI agents, enhancing speech-processing pipelines, and integrating voice analytics into production environments.

Requirements
Key Responsibilities
  • Develop, deploy, and optimize AI agents capable of managing conversations, handling calls, and delivering intelligent, context-aware responses.
  • Implement and enhance speech recognition (ASR/STT) models to achieve high-accuracy, real-time audio transcription.
  • Build complete audio analytics pipelines including tone, emotion, and speaker analysis.
  • Research, fine-tune, and integrate voice intelligence models such as speaker identification, sentiment detection, and emotion recognition.
  • Collaborate with backend and ML teams to integrate AI and speech capabilities into production-grade applications.
  • Work with large-scale speech datasets for model training, testing, and performance optimization.
  • Continuously improve models for accuracy, latency, speed, and scalability.
  • Stay updated with advancements in agentic AI frameworks, speech processing, voice analytics, and multimodal AI.
Must-Have Skills
  • Hands-on experience with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI).
  • Proven experience building or integrating telephony/voice AI systems (real-time audio processing, voice bots, calling AI).
  • Strong understanding of ASR/STT technologies (Whisper, Deepgram, AssemblyAI, or custom ASR models).
  • Expertise in audio signal processing (speech segmentation, MFCCs, spectrograms, emotion/tone detection, etc.).
  • Proficiency in Python and ML/audio libraries (PyTorch, TensorFlow, SpeechBrain, librosa, torchaudio).
  • Experience integrating LLMs (OpenAI, Anthropic, Gemini, etc.) for conversational intelligence.
  • Familiarity with APIs, SCORM, and cloud platforms (AWS, GCP, Azure).
Good-to-Have Skills
  • Experience with TTS engines and voice cloning technologies.
  • Knowledge of communication protocols (WebRTC, SIP) or platforms like Twilio.
  • Exposure to RAG architectures and multimodal AI systems.
  • Experience working with vector databases (Chroma, Pinecone, Weaviate).
  • Strong analytical, debugging, and problem-solving abilities.
Skills
  • Agentic AI
  • RAG
  • Speech Analytics

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