Artificial Intelligence Engineer

Solugenix; Hyderabad; Hybrid; INR 800,000 - 1,400,000; Full time

Job summary

Solugenix is seeking an experienced AI Engineer in Hyderabad to design, implement, and optimize enterprise AI solutions. The role demands strong AI/ML framework expertise, backend development with Node.js, and AWS cloud architecture leadership across teams.

You will design scalable AI/ML systems, guide architectural decisions, and collaborate with product managers, data scientists, and DevOps to deliver end-to-end solutions in a hybrid Full-time/Contract environment.

Qualifications

• 5 to 10 years in software engineering with 2–4 years in AI/ML solution architecture.
• Proficiency in TensorFlow, PyTorch, Scikit-learn, or Hugging Face.
• Strong backend development with Node.js and RESTful APIs.
• Hands-on AWS cloud experience (SageMaker, Lambda, EC2, S3, CloudFormation).

Responsibilities

• Design scalable AI/ML systems using modern frameworks.
• Lead backend solution design and development with Node.js.
• Define and implement AWS cloud-native architectures for AI/ML workloads.
• Provide technical leadership, code reviews, and architecture decisions across teams.
• Evaluate and adopt emerging AI technologies and frameworks.
• Collaborate with product managers, data scientists, and DevOps to deliver end-to-end AI solutions.

Skills

AI/ML architecture

Backend development

Cloud architecture

Technical leadership

Communication

Tools

TensorFlow

PyTorch

Scikit-learn

Hugging Face

Node.js

RESTful APIs

Docker

Kubernetes

AWS (SageMaker, Lambda, EC2, S3, CloudFormation)

Job description

Role: AI Engineer

Job Location: Hyderabad

Experience: 5 to 10 years

Position Type: Full-time/Contract (Hybrid)

We are seeking an experienced AI Engineer to design, implement, and optimize enterprise-grade AI solutions. The ideal candidate will have a strong background in AI frameworks, backend development (Node.js), and cloud architecture (AWS). This role requires both hands-on technical expertise and the ability to provide architectural leadership across teams.

Key Responsibilities

• Design scalable AI/ML systems leveraging modern frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
• Backend Development: Lead backend solution design and development using Node.js, ensuring performance, security, and maintainability.
• Cloud Integration: Define and implement cloud-native architectures on AWS, including compute, storage, and AI/ML services.
• Technical Leadership: Guide engineering teams on best practices, code reviews, and architectural decisions.
• Innovation & Strategy: Evaluate emerging AI technologies and frameworks to recommend adoption strategies.
• Collaboration: Work closely with product managers, data scientists, and DevOps teams to deliver end-to-end AI solutions

Required Skills:

• Experience: 5 to 8 years in software engineering, with at least 2 to 4 years in AI/ML solution architecture.
• AI/ML Frameworks: Proficiency in TensorFlow, PyTorch, Scikit-learn, Hugging Face, or similar.
• Backend Development: Strong expertise in Node.js, RESTful APIs, and microservices architecture.
• Cloud Awareness: Hands-on experience with AWS services (SageMaker, Lambda, EC2, S3, CloudFormation).
• Architecture & Design: Proven ability to design scalable, secure, and high-performance systems.

Desired Skills:

• Exposure to MLOps practices (CI/CD for ML, model deployment pipelines).
• Knowledge of data engineering concepts (ETL, data lakes, streaming).
• Experience with containerization (Docker, Kubernetes).
• Familiarity with security best practices in AI and cloud environments

Soft Skills:

Strong communication, leadership, and problem-solving abilities.