Lead Full Stack AI Engineer

Job Title: Lead Full Stack AI Engineer

Location: Hyderabad/Chennai/Gurgaon/Pune

Experience

57 Years

Employment Type

Full-time

Role Overview

We are seeking a highly skilled Full Stack AI Engineer with 57 years of

experience in Data Science and AI Engineering to lead the design, development,

and deployment of advanced AI and Generative AI full stack solutions.

The ideal candidate will have hands-on expertise in end-to-end AI/ Data science

project delivery, from problem formulation, prototyping, model development,

and deployment to production, along with the ability to lead small teams and

drive AI initiatives within the organization.

This role requires a combination of technical depth, leadership capability, and

strong problem-solving skills to deliver scalable AI solutions that create business

value.

Key Responsibilities

AI & GenAI Solution Development

Lead the end-to-end lifecycle of AI and Generative AI projects including

ideation, experimentation, development, and deployment.

Design and implement scalable AI/ML solutions, including LLM-powered

applications and intelligent automation systems.

Develop proof of concepts (PoCs), prototypes, and production-grade AI

full stack solutions.

Work with cross-functional teams to translate business problems into AI-

driven solutions.

Engineering & Deployment

Develop scalable pipelines for model training, evaluation, and deployment.

Deploy models using MLOps/LLMOps best practices.

Implement AI systems using cloud platforms and modern AI frameworks.

Full stack development and deployment knowledge and experience in

production.

Leadership & Team Management

Lead and mentor a small team of data scientists and AI engineers.

Guide the team on technical architecture, development practices, and

delivery timelines.

Drive best practices in AI development, documentation, and code

quality.

Stakeholder Collaboration

Work closely with Engagement leads, business stakeholders, and

engineering teams to deliver AI solutions.

Communicate technical solutions and results to technical and non-technical

stakeholders.

Required Skills & Qualifications

Education

Bachelors or Masters degree in Computer Science, Artificial Intelligence,

Data Science, or related field.

Experience

57 years of experience in Data Science, Machine Learning, or AI

Engineering.

Proven experience delivering end-to-end AI/ML projects from prototype to

production.

Experience leading small teams or technical initiatives.

Technical Skills

Strong programming skills in Python.

Experience with Machine Learning and Deep Learning frameworks

(PyTorch, TensorFlow, Scikit-learn).

Hands-on experience with Generative AI and LLM ecosystems.

GenAI Stack

Experience with tools such as:

LangChain / LlamaIndex

OpenAI / Anthropic / HuggingFace models

Vector databases (Pinecone, Weaviate, FAISS, Chroma)

RAG architectures

Prompt engineering and model evaluation

AI Engineering & MLOps

Experience with model deployment frameworks (FastAPI, Flask, Docker).

Experience with cloud platforms (AWS, Azure, GCP).

Familiarity with MLOps / LLMOps tools and CI/CD pipelines.

Experience and familiarity with frontend technologies (React.js)

Preferred Qualifications

Experience building enterprise-scale GenAI and full stack solutions.

Experience with fine-tuning LLMs or parameter-efficient training (LoRA,

PEFT).

Knowledge of AI system architecture and scalable AI infrastructure.

Experience with Kubernetes, microservices architecture, or distributed

systems.

Prior experience in leading AI projects or mentoring teams.

Key Competencies

Strong problem-solving and analytical thinking

Excellent communication and stakeholder management

Ability to lead AI initiatives and mentor team members

Strong ownership and delivery mindset