Senior AI Engineer

About the Role

We are looking for a highly skilled Senior AI Engineer with deep expertise in building conversational AI solutions using Large Language Models (LLMs), chatbot, 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. You will work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to create state-of-the-art AI-powered solutions.
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 optimize 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.
Required Qualifications

5+ years of experience in AI/ML, NLP, or chatbot development.
Strong background in LLMs, NLP, and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face.
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.
Preferred Qualifications

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.
Benefits & Perks

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