Agentic AI Developer Voice

2 weeks ago

Coimbatore, India Integra Global Solutions Full time

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

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