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

Technical 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.

Leadership & Mentorship

- 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

Education

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

Experience

- 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.

Technical Skills

- 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).

- Robust command of version control using Git.

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

Soft Skills

- Excellent problem-solving and analytical abilities.

- Strong communication and interpersonal skills.

- Proven experience in leading and mentoring teams.

Preferred / Bonus Skills

- 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.

📌 AI Engineer (Noida)
🏢 eTeam
📍 Noida