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Growth Stage
Expanding market presence

Growth Stage
Expanding market presence

Chief Engineer – Artificial Intelligence

₹20L – ₹30L • No equity
|
Hyderabad
|10 years of exp
|Full Time

Posted: today• Recruiter recently active

Job Location

Hyderabad

Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

RelocationAllowed

Skills

Python

Artificial Intelligence

Distributed Systems

AWS

FastAPI

Prompt Engineering

Generative AI

Retrieval-Augmented Generation (RAG)

LLMs, Langchain, Llama-Index, Huggingface

LLM Frameworks (Langchain, Claude, LLamaIndex) RAG Technologies Embedding Models Vect

Agentic AI

Vector Databases (Pinecone Serverless, Qdrant, FAISS, ChromaDB)

About the job

Chief Engineer – Artificial Intelligence

Location: Hyderabad, India

Work Mode: hybrid(subject to client confirmation)

Employment Type: Full-Time

Experience:10+ Years in Software Engineering

AI/ML Experience: 5+ Years

Compensation:₹20–30 LPA

Department: Technology & Product Engineering

About the Opportunity

We are hiring a Chief Engineer – Artificial Intelligence for a leading Medical Education Technology organization in India.

The organization focuses on helping MBBS students, NEET PG aspirants, and Super Speciality medical learners through expert-led video learning, question banks, mock tests, assessments, clinical learning tools, and AI-powered digital experiences.

This is a senior, hands-on technical leadership opportunity for an experienced AI engineering professional who can define AI architecture, build scalable AI platforms, lead engineering teams, and drive AI innovation from experimentation to production.

Key Responsibilities

AI Strategy & Architecture
Define AI engineering strategy and technical roadmaps.
Evaluate AI models, frameworks, vector databases, and platforms.
Make build-vs-buy and open-source-vs-commercial decisions.
Design scalable, secure, reusable, and cost-effective AI solutions.
Production AI Engineering
Lead AI initiatives from concept to production deployment.
Build AI services, APIs, pipelines, and platform components.
Establish AI development, testing, deployment, and monitoring standards.
Improve model quality, retrieval performance, reliability, and cost efficiency.
LLM, RAG & Agentic AI
Design and implement LLM-based applications.
Build enterprise-grade Retrieval-Augmented Generation (RAG) solutions.
Develop Agentic AI workflows and intelligent automation systems.
Implement embeddings, document processing, retrieval pipelines, and response generation.
Optimize AI quality through prompt engineering and retrieval optimization.
AI Security & Platform Engineering
Establish standards for AI quality, safety, and reliability.
Implement safeguards against hallucinations and unsafe outputs.
Ensure data privacy, security, and role-based access controls.
Integrate AI services with applications, databases, and enterprise systems.
Monitor model performance, usage, reliability, and operational costs.
Technical Leadership
Define AI engineering standards and best practices.
Conduct architecture and code reviews.
Mentor AI/ML engineers and development teams.
Support hiring and technical capability development.
Collaborate with product, business, and technology leadership.

Mandatory Requirements

10+ years of software engineering experience.
Minimum 5+ years of AI/ML engineering experience.
Proven experience deploying AI solutions into production.
Strong Python development skills.
Hands-on experience with FastAPI.
Strong understanding of Large Language Models (LLMs).
Practical experience with RAG and Prompt Engineering.
Experience with Embeddings and Vector Search.
Experience building Agentic AI systems.
Knowledge of cloud architecture (AWS preferred).
Experience with Microservices and Distributed Systems.
Understanding of application security and data privacy.
Strong technical leadership and team management skills.

Preferred Skills & Experience

Vector Databases: Qdrant, Weaviate, Milvus, pgvector.
LangChain, LlamaIndex, and Haystack.
Kubernetes and Docker.
CI/CD pipelines.
Observability and monitoring platforms.
Multi-modal AI solutions.
Knowledge Graphs and Recommendation Systems.
Healthcare Technology, Medical Education Technology, or EdTech experience.
Understanding of healthcare data standards.

What Makes This Opportunity Exciting?

Lead AI innovation within a growing product organization.
Work on cutting-edge technologies including LLMs, RAG, and Agentic AI.
Build AI-powered products serving medical students and healthcare learners across India.
Drive high-impact AI initiatives from concept to production.
Collaborate with technology, product, and business leadership teams.

What Success Looks Like