Solugenix
Artificial Intelligence Engineer
Skills
1 month ago
Share this opportunity
Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.
Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Onsite
Published on:
21 September 2026
What they need
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.
Other offers great for you!
These companies are also looking for great profiles
Whub
Ingénieur IA
700 - 750
Freelance
Paris, France
Hybrid
Skills
9 months ago
Quick apply
LeHibou
Ingénieur IA (LookML/GCP)
550€ / jour
Freelance
93400 Saint-Ouen-sur-Seine, France
Hybrid
Skills
6 days ago
Quick apply
Sapiens Group
Ingénieur IA / LLMOps
450€-500€/jours
Freelance
Paris, France
Hybrid
Skills
8 hours ago
Quick apply
No company information available.