Senior AI SDLC
Job Description
- Requirements:
- Years of Experience: 6 – 10 years
- Necessary qualifications
- • Strong programming experience: native mobile apps development(iOS/Android)
- • Hands-on LLM integration experience.
- • Knowledge of RAG, embeddings, vector DBs.
- • Experience with Docker, Kubernetes, Terraform.
- • Experience with intelligent test automation.
- Core Competencies
- • MCP Engineering – building modular context-aware tooling.
- • Context Engineering – structuring and optimizing AI reasoning.
- • AI-Augmented Architecture patterns.
- • Product thinking for GenAI adoption.
- Responsibilities:
- • Implement AI-driven SDLC accelerators (code-gen, review automation, smart testing).
- • Develop MCP-based extensions to streamline developer workflows.
- • Apply context-engineering for structured AI reasoning.
- • Build LLM-integrated CI/CD workflows.
- • Collaborate with cross-functional teams for AI adoption.
More Info
Key Skills
RAG embeddings
native mobile apps development
LLM integration
vector DBs
intelligent test automation
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