Lead AI Engineer #3008 at CES LTD

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

0.0

Posted On

16 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, VoiceBot development, Speech-to-Text, Deepgram, Plivo, OpenAI, Prompt engineering, Agentic AI, Multi-agent orchestration, PyTorch, LLM observability, AI testing, Fine-tuning, Pytest, RAG pipeline, Azure infrastructure

Industry

IT Services and IT Consulting

Description

CES has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. CES has been delivering services to some of the leading Fortune 500 Companies including Automotive, AgTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. These are long-term relationships of more than 10 years and are nurtured by not only our commitment to timely delivery of quality services but also due to our investments and innovations in their technology roadmap. As an organization, we are in an exponential growth phase with a consistent focus on continuous improvement, process-oriented culture, and a true partnership mindset with our customers. We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth. You can learn more about us at: http://www.cesltd.com/ Role Overview We are seeking an experienced VoiceBot App Team Lead to spearhead the development and management of cutting-edge voice-based applications. The ideal candidate will have strong technical expertise in Python, AI-driven voice technologies, and leadership skills to guide a team in delivering scalable, secure, and efficient solutions. Key Responsibilities • Lead design and architecture for VoiceBot applications and related AI components. • Ensure RAG pipeline efficiency, security, and scalability. • Oversee code quality, testing, and production support. • Implement and optimize Speech-to-Text and VoiceBot solutions using Deepgram, Plivo, and Azure infrastructure. • Work with OpenAI, prompt engineering, and agentic AI for multi-agent orchestration. • Fine-tune AI models to optimize accuracy and efficiency. • Manage RAG pipelines for enhanced performance. • Utilize Pytest and AI testing frameworks to ensure robust and reliable solutions. • Interact with clients to gather requirements and provide technical guidance. • Manage and mentor team members, ensuring timely delivery and adherence to best practices. Required Skills Core: • Python programming • VoiceBot development and Speech-to-Text technologies • Deepgram, Plivo integration • OpenAI, prompt engineering, agentic AI, multi-agent orchestration • PyTorch • Agent/LLM application observability • AI testing, fine-tuning, Pytest • RAG pipeline implementation • Azure infrastructure Optional: • LangChain • LangGraph Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 6+ years of experience in software development, including 2–3 years in Generative AI application development, with at least 2 years in a technical lead role. • Proven experience in designing and deploying AI-driven voice applications. Soft Skills • Strong problem-solving and analytical skills. • Excellent communication and client interaction abilities. • Leadership and team management experience. Why CES : Flexible working hours to create a work-life balance. Opportunity to work on advanced tools and technologies. Global exposure to not only collaborate with the team, but also to connect with the client portfolio and build professional relationships. Highly encouraged for any innovative ideas & thoughts and we support in executing the same. Periodical and on-spot rewards and recognitions on your performance. Provides a better platform for enhancing skills via many different L&D programs. Enabling and empowering atmosphere to work along.

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Responsibilities

Lead the design and architecture of voice-based AI applications while managing a team to ensure scalable and efficient delivery. Oversee RAG pipeline performance, code quality, and client interactions to provide technical guidance.