AI Engineer

Location: Any Saksoft Location/ Hybrid 

Experience: 6+ years

About the role
We are looking for a hands-on engineer who enjoys building real solutions and working directly with clients. You will work on client-facing engineering projects and also contribute reusable solutions and accelerators to our Centre of Excellence (CoE). The role spans application development, AI/GenAI, cloud, DevOps and platform engineering.

What you will do

• Build and deliver client-facing applications and engineering solutions
• Work with client teams to understand their requirements and turn them into working solutions
• Develop APIs, microservices, integrations and cloud-native applications
• Build and integrate GenAI solutions such as LLM applications, RAG pipelines, AI agents and model APIs
• Create PoCs, reusable components and accelerators for the CoE
• Deploy and run solutions on AWS, Azure or GCP
• Support CI/CD, containerization, deployment automation, monitoring and observability using Docker, Kubernetes and modern DevOps practices
• Troubleshoot application, integration, cloud and deployment issues
• Contribute to platform engineering and automation initiatives
• Follow engineering, security, coding and architecture standards
• Collaborate with Technical Architects, AI Engineers, DevOps, Cloud, Data and Platform teams

What we are looking for

• 5-7 years of software/application development experience with strong hands-on coding
• Proficiency in Python and/or Java, .NET or Node.js
• Experience with REST APIs and microservices
• Experience building and deploying enterprise applications
• Hands-on exposure to at least one cloud platform (AWS / Azure / GCP)
• Working knowledge of Docker, Kubernetes and CI/CD
• Experience with SQL and NoSQL databases and Git
• Experience with, or strong interest in, GenAI engineering: LLM applications, RAG, vector databases and AI agents
• Basic understanding of security concepts such as IAM, OAuth, SSO and RBAC
• Exposure to monitoring and observability tools
• Comfort working directly with client teams and solving problems across development, integration, deployment and support

Ideal profile
An engineer who can code, build PoCs, integrate systems, troubleshoot deployments and contribute to scalable, reusable solutions.