Senior Consultant | API Developer | Ahmedabad | Engineering | Platform Development & Integration
Deloitte (company site, opens in a new tab)6+ yrsAhmedabadOn-siteDirect career pageEst. 20–32 LPA
Posted 15h ago
Reach people at Deloitte
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Deloitte you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own rapid discovery and prototyping with business users, then deliver validated solutions through production-ready implementation.
- Build end-to-end applications across UI, APIs, integrations, GenAI/agentic workflows and automation; balance delivery speed with security, resilience and maintainability.
- Ensure production readiness through testing, CI/CD, observability, controls and operational handover; promote reusable engineering patterns.
Minimum Requirements
- Work Experience Required: 6+ years of experience.
- Education: BE/B.Tech in Computer Science, Engineering, or a related discipline.
- Required technical experience: end-to-end software delivery across UI, APIs/services and integrations; GenAI/agentic applications including RAG, tool-using agents or multi-agent orchestration; evaluation, guardrails and human-in-the-loop controls; secure engineering, testing, CI/CD and observability.
- Job location: Ahmedabad. Onsite or relocation requirements are not explicitly mentioned in the JD.
Ideal Candidate Profile
- Has hands-on experience translating user workflows into prototypes and iteratively hardening them into supportable production solutions.
- Can work across frontend, backend/API and enterprise integration layers, with practical GenAI engineering experience using vector databases and agent frameworks such as LangGraph or Semantic Kernel.
- Is suited to embedded, product-led delivery in enterprise or regulated environments, with sound judgment on controls, platform reuse and build-versus-buy trade-offs.