AI Engineer

Job Summary:

We are seeking an innovative Senior AI Engineer with 5+ years of total experience, including 3+ years specifically focused on AI/ML development. In this role, you will play a crucial part in researching, developing, and integrating AI models into business applications and products.

Key Responsibilities

• Design & Development: Build, deploy, and optimize Generative AI solutions using LLMs, Retrieval-Augmented Generation (RAG), AI workflow automation tools, and AI Voice products integrated with telephony systems (e.g., Twilio, Vonage, or Dialogflow CX).

• Architecture: Collaborate on designing scalable, reliable AI architectures using platforms such as Dify.ai, Windsurf, or Cursor, ensuring integration with voice-based AI interfaces.

• Research & Innovation: Stay up to date with the latest advancements in Generative AI, including LLMs, Voice AI synthesis, agent frameworks, and automation tools, and integrate them into our solutions.

• Testing & Validation: Develop robust testing and validation processes to ensure AI workflows, agents, and voice models are reliable, accurate, and scalable.

• SDLC & Agile Execution: Follow and promote Software Development Life Cycle (SDLC) and Agile methodologies to ensure structured, iterative, and high-quality product delivery.

• Team Leadership: Lead a team of interns focused on AI workflow creation, LLM integrations, prompt engineering, and AI Voice system development.

• Mentorship: Train interns in Generative AI concepts, best practices, and tools including LLM-based voice agents and vector databases.

• Project Management: Manage project allocations, ensure deliverables align with business goals, and support debugging and deployment of AI solutions following Agile sprints.

• Performance Monitoring: Track progress, provide feedback, and guide interns in developing their AI engineering careers.

Requirements

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, or a related field.

• Minimum 3 years of experience developing Generative AI systems using LLMs, AI-driven automation, and agent-based architectures.

• Hands-on experience building and integrating AI Voice systems, particularly Telephony AI Voice applications (e.g., voice cloning, IVR bots, or real-time conversational voice agents).

• Proven experience working through all phases of the SDLC, and executing projects within Agile / Scrum environments.

• Proficient in Python and JavaScript (experience with FastAPI is a plus).

• Experience with AI tools such as Dify.ai, Windsurf, Cursor, and various LLMs (OpenAI, Mistral, Claude).

• Familiarity with AI Voice technologies such as ElevenLabs, Play.ht, or Azure Cognitive Voice, and telephony APIs like Twilio or Dialogflow CX.

• Familiarity with containerization tools like Docker and Kubernetes.

• Understanding of CI/CD pipelines (GitHub Actions, Jenkins).

• Strong command of version control using Git.

• Solid foundation in computer science fundamentals, including data structures and algorithms.

• Excellent problem-solving and analytical abilities.

• Strong communication and interpersonal skills.

• Proven experience in leading and mentoring teams.

• Familiarity with advanced Generative AI tools and frameworks such as ElevenLabs, Mistral, Claude, OpenAI, LangChain, LlamaIndex, Groq.

• Understanding of RAG architectures, vector databases, and AI agent frameworks such as AutoGen, CrewAI, or Superagent.

• Exposure to platforms including ClientP, Hugging Face, OpenRouter, Flowise, or ChromaDB.