Be the Candidate They Can't Ignore.

Don't just send a resume; set yourself up so the right work finds you.

  • Look like a pro instantly with a stunning personal brand.

  • Gain instant "Top Ten" status so you aren't just another name in a pile.

  • Wake up to booked meetings instead of "rejection" emails.

Join the Club — Free Forever

AI Engineer

  • Source: LinkedIn
  • Solugenix
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

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 Technical Architect 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

Architect AI Solutions: 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.

Skills

  • Tensorflow
  • PyTorch
  • hugging-face
  • NodeJS
  • amazon-web-services
  • Scikit-learn
  • amazon-sagemaker
  • aws-lambda
  • amazon-ec2
  • amazon-s3
  • aws-cloudformation
  • Docker
  • Kubernetes

Create Free Account & Apply
  • Free personal website
  • Built-in Talent Agent
  • Apply to future jobs in 1 click
  • Get matched to similar roles
or
Apply as a guest this time

You'll apply successfully, but won't be able to track your application, save this job, or get matched to similar roles.

This listing is a publicly available opportunity curated by Try Club to help talent discover relevant roles. Try Club is an independent platform and is not affiliated with Solugenix

Get Similar Jobs

Browse more similar roles on TRY and find your perfect match.

Show Me Similar Jobs

Stop Searching. Start Thriving.

Why waste time chasing leads when the perfect projects can find you?
With TRY, clients actively searching for professionals with your skills can discover you in seconds. Whether it's a quick gig or your dream role, we connect you with opportunities that matter.

  • Get found faster
  • Let projects come to you
  • Build a career on your terms

Take control of your career today.

Claim Free Website in 2 Minutes