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Agentic AI Engineer - Senior Consultant

Deloitte US-India Offices
Posted on
Deloitte US-India Offices logo

Experience
6 - 9 yrs
Salary (CTC)
₹21L - ₹30.4L
Job Location
Hyderabad, India
Vacancy
2
Designation
Senior Artificial Intelligence Engineer
Job Type
Not specified

Job Description

Qualifications 

Must Have Skills/Project Experience/Certifications: 

  • 5–8 years of progressive experience in software engineering, solution architecture, ML engineering, or autonomous/agentic systems. 

  • Hands-on experience delivering GenAI/LLM solutions to production, including at least one agentic system (tool-using agent, workflow agent, or multi-agent). 

  • Strong programming skills (Python required; TypeScript/Java/Go preferred) and solid software engineering fundamentals (design patterns, code reviews, testing). 

  • Experience with at least one agent framework (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel) and implementing RAG or similar retrieval-based patterns. 

  • Experience integrating with enterprise systems (REST/gRPC APIs, databases, message queues, identity systems) and deploying on scalable infrastructure (Docker/Kubernetes and a major cloud platform). 

  • Working knowledge of vector/embedding search and storage (vector DBs or libraries) and performance tuning for low-latency inference and retrieval. 

  • Experience with evaluation and observability of LLM/agent systems (offline evals, regression tests, tracing/monitoring tools such as Langfuse or equivalents). 

  • Strong communication and stakeholder management skills; ability to translate business goals into technical designs and delivery plans. 

Good to Have Skills/Project Experience/Certifications 

  • Experience productizing GenAI platforms or reusable agent components for multiple teams or clients. 
  • Familiarity with microservice and event-driven architectures (e.g., Kafka) and distributed systems patterns. 
  • Experience with prompt engineering at scale (prompt management/versioning, structured outputs). 
  • Familiarity with developer productivity tools (e.g., GitHub Copilot, AWS CodeWhisperer, Cursor), secure SDLC practices, and relevant certifications (Cloud, Kubernetes, security, or machine learning). 

Education 

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or closely aligned technical discipline (B.E., B.Tech, M.C.A., M.Sc.). 

Location: 

  • Hyderabad, Bengaluru, Chennai, Pune