Senior AI Engineer
Role details
Job location
Tech stack
Requirements
Do you have experience in Scalability?, Backend/Systems Experience
3+ years building production backend or distributed systems (pre- AI experience required)
Production AI Systems
Has shipped AI /LLM features serving real users at scale - not just prototypes or demos
Agentic Systems
Has built AI agents, skills, tools, or MCP (Model Context Protocol) integrations
Python
Proficient for backend development
Secondary Language
Working knowledge of Go, TypeScript, or Rust
Cloud Infrastructure
Deep experience with AWS/GCP/Azure - cost optimization, compute decisions, not just deployment
Container & Orchestration
Hands-on with Docker and Kubernetes - can build, deploy, debug, and scale services themselves
LLM Integration
Understands token economics, context limits, rate limiting, structured outputs, API failure modes
LLM Evaluation
Understands how to evaluate LLM outputs and the inherent challenges (non-determinism, quality measurement, regression detection)
Hands-On Engineer
Not just an architect - writes code, debugs production issues, deploys their own work
Preferred / Differentiators
- Built multi-step agentic workflows with tool use and function calling
- Experience with agent orchestration frameworks (LangGraph, CrewAI, Claude Agent SDK, Google ADK, OpenAI ADK)
- Built guardrails, fallbacks, or graceful degradation for AI systems
- Streaming inference and async agent orchestration
- Cost/latency optimization: caching, batching, prompt compression
- ML observability tools: Langfuse, Arize, Braintrust, W&BRetrieval systems (vector search, hybrid search) - as a tool, not the focus
Mandatory Skills: VLSI AI Hardware validation .
Experience: 5-8 Years .
Benefits & conditions
Pulled from the full job description
- Health insurance
- Paid time off
- Dental insurance
- Disability insurance, The expected compensation for this role ranges from $60,000 to $135,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
