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Agentic AI Developer Voice & Text Applications

Agentic AI Developer Voice & Text Applications

ConfidentialCoimbatore
5 days ago
Job description

We are seeking an Agentic AI Developer with hands-on experience in building and fine-tuning voice and text-based AI applications. The ideal candidate will focus on increasing the accuracy and reliability of outputs from autonomous AI agents, including chatbot and voicebot systems.

Responsibilities

  • Build and deploy agentic AI applications using LLMs for text and voice interfaces
  • Fine-tune open-source and proprietary models to improve task completion and response accuracy
  • Train and optimize small language models (SLMs and LLMs) for high-speed, low-latency use cases
  • Work with speech-to-text and text-to-speech tools to improve voice interaction
  • Integrate tools and APIs / MCP for planning, memory, search, scheduling, and RAG pipelines
  • Create evaluation systems for agent behavior and ensure task performance is verifiable
  • Analyze errors, improve prompt chains, and apply guardrails to minimize hallucinations
  • Collaborate with cross-functional teams to ship product-ready AI agents
  • Build and manage AI models for business use
  • Create smart chatbots and support tools
  • Work on AI features like summarization, search, and Q&A
  • Clean and prepare data for training AI models
  • Collaborate with our development and data teams
  • Test and improve AI systems to make them more accurate

Required Skills

  • Strong Python programming with clean, structured code
  • Experience with LLMs (e.g., GPT-4, Claude, Mistral, LLaMA, etc.)
  • Experience with voice technologies (e.g., Whisper, ElevenLabs, Google STT / TTS)
  • Knowledge of LangChain, LlamaIndex, or similar frameworks
  • Experience with model fine-tuning or LoRA adapters
  • Familiarity with agent frameworks like AutoGen, CrewAI, or custom agents
  • Ability to write testable, high-accuracy logic and error recovery flows
  • Clear understanding of task decomposition and agent orchestration
  • Strong debugging and optimization skills
  • Background in NLP or speech systems
  • Knowledge of RAG pipelines
  • Experience in handling large unstructured datasets
  • Familiarity with containerized deployments and cloud environments
  • What would impress us

  • Real-world AI projects or tools you ve built
  • Willingness to learn new AI technologies
  • Projects using RAG or agent frameworks in live system
  • Skills Required

    Python

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