Lead AI Engineer / AI Architect

GrowthArc PLC; India; Presencial; INR 3.500.000 - 7.000.000; Jornada completa

Descripción de la vacante

GrowthArc PLC seeks a Lead AI Engineer / AI Architect to design, build, and scale production-grade AI systems. This role combines hands-on AI engineering with system architecture leadership, mentoring engineers and ensuring reliable deployment of ML models into real-world apps.

The ideal candidate brings deep experience in ML, backend engineering, distributed systems, and modern LLM stacks, with a track record of scalable AI architecture design.

Formación

• 8–15 years experience in AI / ML / backend engineering.
• Strong ownership of system design and scalable architectures.
• Experience leading AI engineering teams and mentoring engineers.
• Proficient in ML frameworks and production-grade deployments.

Responsabilidades

• Design scalable architectures for AI-powered products and services.
• Architect end-to-end ML systems including training, deployment, and monitoring.
• Define architectural standards for AI services, APIs, and data pipelines.
• Design distributed AI systems that support large-scale inference and data processing.
• Build and deploy production AI/ML systems.
• Develop APIs and services exposing AI capabilities.
• Implement LLM-powered systems including semantic search and conversational AI.

Conocimientos

Python

Backend design

Distributed systems

LLM ecosystems

System architecture

Mentoring

PyTorch

TensorFlow

Production AI

Herramientas

MongoDB

Pinecone

Weaviate

FAISS

Chroma

Docker

CI/CD

Descripción del empleo

We are looking for a Lead AI Engineer / AI Architect to design, build, and scale production-grade AI systems.

This role combines hands-on AI engineering with system architecture leadership. The candidate will be responsible for designing scalable AI platforms, mentoring engineers, and ensuring that machine learning models are successfully deployed into real-world applications.

The ideal candidate has strong expertise in machine learning, backend engineering, distributed systems, and modern LLM ecosystems, along with experience designing scalable AI architectures.

Key Responsibilities

• Design scalable architectures for AI-powered products and services
• Architect end-to-end ML systems including training, deployment, and monitoring
• Define architectural standards for AI services, APIs, and data pipelines
• Design distributed AI systems that support large-scale inference and data processing
• Build and deploy production AI/ML systems
• Develop APIs and services exposing AI capabilities
• Implement LLM-powered systems including:
• Semantic search
• Conversational AI systems
• Optimize model performance, latency, and scalability

AI Platform & Infrastructure

• Design and maintain ML infrastructure for training and deployment
• Build scalable inference systems for ML and LLM models
• Implement CI/CD pipelines for ML systems
• Deploy services using containerized infrastructure

Technical Leadership

• Lead AI engineering teams and mentor junior engineers
• Conduct architecture and code reviews
• Define engineering standards for AI development
• Guide teams in implementing scalable AI solutions
• Work closely with product and engineering leadership
• Translate business problems into scalable AI solutions
• Coordinate with data engineering, backend, and platform teams

Required Skills

Programming & Software Engineering

• Expert-level Python
• Strong experience writing production-grade systems
• Experience designing scalable backend services

Strong experience with:

• Supervised and unsupervised learning
• Model evaluation and optimization

Experience with:

• PyTorch / TensorFlow
• Scikit-learn

LLM & Modern AI Stack

Experience with:

• Embedding models and semantic search
• Prompt engineering and LLM orchestration

Databases

Experience working with:

• MongoDB
• Vector databases (Pinecone, Weaviate, FAISS, Chroma)

Infrastructure & Deployment

• Docker
• Distributed AI systems
• Data pipelines and ML workflows
• High-performance inference systems

Ideal Candidate Profile

• 8–15 years experience in AI / ML / Backend engineering
• Experience leading AI engineering teams
• Strong problem-solving and system design skills
• Experience building production AI products at scale

What We Are NOT Looking For

• Profiles focused only on research or academic ML
• Candidates who primarily worked in notebooks without production deployment experience
• Engineers without strong software engineering fundamentals