Senior Software Engineer- AI Applications
Saitc · Hyderabad · onsite · Posted 1d ago
About a minute. You'll make an account on the way through.
About this role
Senior Software Engineer AI Applications
Location: Hyderabad, India
Employment Type: Full-Time, On-site
Experience: 4+ Years
Expected CTC:
12-14 LPA
About SAITC
SAITC is an AI software development company based in Saudi Arabia, focused on building production-grade AI solutions for businesses.
We build AI chatbots, RAG applications, AI agents, AI-powered SaaS products, enterprise integrations, and custom AI software.
We are looking for a Senior Software Engineer who can take ownership of the backend architecture and software engineering behind these solutions.
Role Overview
This is a hands-on technical leadership role. You will design and build production software, make architectural decisions, work closely with our Applied AI team, review code, and guide other engineers.
The ideal candidate is a strong backend engineer with practical AI application experience who understands how to turn AI capabilities into reliable, scalable, and production-ready software.
Key Responsibilities
1. Backend Engineering & Architecture
- Design scalable backend architectures for AI applications, SaaS platforms, APIs, and enterprise solutions.
- Build production services primarily using Python and FastAPI.
- Design REST APIs, business logic, databases, integrations, and background processes.
- Design and optimize PostgreSQL databases and data models.
- Build integrations with third-party APIs, ERP/CRM systems, Odoo, and customer databases.
- Design secure multi-tenant systems with proper customer data isolation.
2. AI Application Engineering
- Work closely with Applied AI Engineers to integrate AI capabilities into production software.
- Build applications using LLM APIs, RAG, embeddings, vector databases, AI agents, and AI-powered workflows.
- Integrate providers such as OpenAI, Google Gemini, OCI Generative AI, and open-source models.
- Design APIs and backend workflows around AI services, including streaming, retries, fallbacks, and cost/latency considerations.
- Ensure AI systems are securely integrated with customer and business data.
3. Technical Leadership
- Establish coding and architectural standards across projects.
- Conduct code reviews and maintain high engineering quality.
- Mentor engineers and provide technical direction.
- Convert business and client requirements into practical technical solutions.
- Participate in technical discussions with founders and clients when required.
4. Security, Testing & Quality
- Implement authentication, authorization, RBAC, tenant isolation, and API security.
- Ensure appropriate unit, integration, and API testing for backend services.
- Work closely with the DevOps/QA Engineer on deployment, monitoring, testing, and production issues.
Required Skills & Experience
- 4+ years of professional software development experience.
- Strong experience with Python and FastAPI.
- Strong PostgreSQL and database design skills.
- Strong understanding of backend architecture and REST APIs.
- Experience building and deploying production software.
- Practical experience with LLM APIs, RAG, embeddings, vector databases, or AI agents.
- Understanding of authentication, authorization, and application security.
- Experience with Docker and Linux.
- Strong Git/GitHub experience.
- Good understanding of asynchronous programming, APIs, queues, and caching.
- Strong problem-solving and debugging ability.
- Ability to lead technical decisions and mentor other engineers.
Good to Have
- Redis / Celery / RabbitMQ / Kafka
- AWS / OCI / GCP / Azure
- Kubernetes / Terraform
- Experience building AI SaaS products
- Experience with enterprise integrations
- Experience working directly with clients
What Success Looks Like
Within the first 612 months, you will help SAITC establish a strong technical foundation where:
- AI applications follow consistent and scalable architectures.
- Backend components can be reused across products and clients.
- AI services integrate cleanly with business applications and data.
- Customer data is securely isolated.
- Engineering standards and code quality improve across the team.
- SAITC can build and deliver new AI solutions faster.
Education
A Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field is preferred.
Sourced from naukri