AI Solutions Architect
7 days ago
Vsynergize AI is seeking a highly skilled Senior AI Engineer to join our team.
We are looking for a talented professional with expertise in building conversational AI solutions using Large Language Models (LLMs), chatbots, and contact center technologies.
In this role, you will be responsible for designing, developing, and optimizing AI-powered conversational systems that enhance customer engagement and support automation.
About the RoleYou will work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to create state-of-the-art AI-powered solutions.
The ideal candidate will have a strong background in LLMs, NLP, and deep learning frameworks, as well as experience deploying applications in cloud environments (AWS and Azure).
Additionally, proficiency in Python, JavaScript, or related programming languages is required, along with hands-on experience with speech-to-text, text-to-speech, and voice AI technologies.
Key Responsibilities- LLM Integration & Optimization: Experiment at scale with different LLMs (GPT, Llama, Claude, etc.) and LLM frameworks like Langchain to build and deploy scalable chatbot and customer support applications.
- Conversational AI Development: Experience developing and optimizing chatbots using at least one of the frameworks such as Rasa, Amazon Lex, Microsoft Bot Framework, Dialogflow, etc.
- Contact Center AI Solutions: Implement AI-driven enhancements in contact centers, including AI-powered IVRs, voice bots, and agent assist tools.
- Architecture & Scalability: Build scalable, reliable, and efficient AI-based solutions for high-volume customer interactions.
- Data Processing & Model Evaluation: Background in data engineering to prepare and process structured and unstructured datasets for evaluation of LLMs and using prompts and other techniques to optimize performance of conversational AI systems.
- API & System Integration: Integrate AI models with existing enterprise systems, CRMs (Salesforce, Zendesk, etc.), and communication platforms (Twilio, Genesys, Amazon Connect, etc.).
- Performance Monitoring & Compliance: Ensure AI models meet performance, security, and compliance standards such as GDPR, SOC2, and HIPAA where applicable.
- Collaboration & Innovation: Work with product teams to define AI roadmaps and contribute to research initiatives to stay ahead of industry trends.
- 5+ years of experience in AI/ML, NLP, or chatbot development.
- Strong background in LLMs, NLP, and deep learning frameworks.
- Experience deploying applications in cloud environments (AWS and Azure).
- Proficiency in Python, JavaScript, or related programming languages.
- Hands-on experience with speech-to-text, text-to-speech, and voice AI technologies.
- Experience integrating AI solutions into contact centers, CRMs, and enterprise applications.
- Knowledge of prompt engineering, retrieval-augmented generation (RAG), and vector databases.
- Familiarity with MLOps practices, model monitoring, and continuous learning frameworks.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Experience with multi-modal AI (text, voice, and image processing).
- Understanding of LLM distillation, fine-tuning, and cost optimization techniques.
- Exposure to contact center platforms like Twilio, Amazon Connect, Genesys, or Five9.
- Prior experience working on AI-powered analytics and business intelligence solutions.
- Competitive salary and performance-based incentives.
- Comprehensive health insurance coverage.
- Flexible work environment.
- Learning and development programs.
- Wellness programs, including meditation sessions.
- Employee engagement activities and team outings.
- Opportunity to work on cutting-edge AI technologies.
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