Source description
About the role
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
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Education
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Bachelors or Masters degree in Computer Science, Artificial Intelligence, or a related field.
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Experience
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Minimum 3 years of experience developing Generative AI systems using LLMs, AI-driven automation, and agent-based architectures.
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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).
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Proven experience working through all phases of the SDLC , and executing projects within Agile / Scrum environments.
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Technical Skills
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Proficient in Python and JavaScript (experience with FastAPI is a plus).
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Experience with AI tools such as Dify.ai, Windsurf, Cursor , and various LLMs (OpenAI, Mistral, Claude).
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Familiarity with AI Voice technologies such as ElevenLabs, Play.ht, or Azure Cognitive Voice , and telephony APIs like Twilio or Dialogflow CX .
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Familiarity with containerization tools like Docker and Kubernetes .
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Understanding of CI/CD pipelines (GitHub Actions, Jenkins).
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Strong command of version control using Git.
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Solid foundation in computer science fundamentals , including data structures and algorithms.
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Soft Skills
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Excellent problem-solving and analytical abilities.
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Strong communication and interpersonal skills.
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Proven experience in leading and mentoring teams.
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Preferred / Bonus Skills
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Familiarity with advanced Generative AI tools and frameworks such as ElevenLabs, Mistral, Claude, OpenAI, LangChain, LlamaIndex, Groq .
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Understanding of RAG architectures , vector databases, and AI agent frameworks such as AutoGen, CrewAI, or Superagent.
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Exposure to platforms including ClientP, Hugging Face, OpenRouter, Flowise , or ChromaDB .
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Job type: Contract Division: eTeam India Domestic Reference: 25-10845
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