Principal Gen AI Engineer (Bengaluru)

Principal Gen AI Engineer (Bengaluru)

11 Sep
|
ArkInfoCubes
|
Bengaluru

11 Sep

ArkInfoCubes

Bengaluru

Principal AI Engineer
Location: India (Bengaluru) - 3(WFO)
Employment Type: Full Time (Overlapping EST)
Experience Level: Staff/Principal (8–14 years)

What We're Looking For
Engineering foundation
8–14 years of software engineering experience, with strong hands-on large-scale Python
Working depth in at least one systems or backend language — Go, Rust, Java, or C/C++ — and the judgment to know when to reach for it
Strong data structures and algorithms.
Robust understanding of APIs, microservices, and system design
Hands-on experience building and operating data pipelines and production-grade distributed systems.
Agentic AI and LLMs
2+ years of hands-on LLM engineering, with at least couple agentic system you designed and took to production
Production experience with agent frameworks — LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent — and the fluency to move between them as the ecosystem evolves
Experience building MCP (Model Context Protocol) servers and tool-calling interfaces
RAG from first principles: chunking strategy, embeddings,



vector and hybrid retrieval, reranking, and response validation
Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents)
Design of guardrails and reliability patterns — validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths
Optimization
Deep familiarity with token optimization and context-window management — context shaping, pruning, and compaction
Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls
Performance testing and tuning systems against defined SLOs
Evaluation
Experience building evaluation frameworks for LLM systems — offline eval sets, continuous online evaluation, and regression detection
Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc.
Cloud
Hands-on AWS: containerized services (E

📌 Principal Gen AI Engineer (Bengaluru)
🏢 ArkInfoCubes
📍 Bengaluru

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