Generative AI Engineer
1 hour ago
Hiring: AI Architect (7+ yrs) — Agentic & GenAI Systems
Location: Bengaluru / Gurugram | Full-time | AI Platforms & Architecture Team
About the Role
- We’re looking for an AI Architect with a strong engineering background and proven expertise in Agentic Frameworks and Generative AI platforms.
- You’ll own the design and scale of production-grade agentic systems, ensuring they’re secure, observable, and optimized for performance and cost on AWS.
- This role demands a hands-on architect — someone who can debug code, model infrastructure, and lead developers through deep technical challenges.
⚙️ What You’ll Do
- Architect and scale Agentic AI systems (planning, reasoning, and tool-calling) and GenAI/RAG pipelines.
- Design production architectures on AWS (EKS, Bedrock, S3, SQS/SNS) with a focus on cost, performance, and reliability.
- Implement and optimize multi-agent frameworks such as Semantic Kernel, LangGraph, AutoGen, or CrewAI.
- Build retrieval and hybrid search pipelines with grounding, caching, and hallucination control.
- Drive observability via OpenTelemetry + Datadog (metrics, tracing, SLIs/SLOs).
- Set security, compliance, and data-governance standards for GenAI deployments.
- Mentor engineers, conduct design reviews, and lead technical architecture discussions.
What We’re Looking For
- 7–10 years in software/AI engineering with at least 4+ years in GenAI applications.
- Agentic framework experience is mandatory (Semantic Kernel, LangGraph, AutoGen, or CrewAI).
- Expert in Python (3.11+), FastAPI, asyncio, profiling, and pytest.
- Proven experience in architecting GenAI/RAG systems using AWS Bedrock, OpenSearch Serverless, or equivalent.
- Deep understanding of AWS cloud services, distributed systems, and observability.
- Passion for building reliable, secure, and high-performing AI platforms at scale.
Bonus Points
- Expertise in multi-agent orchestration and reasoning flows.
- Hands-on experience with vector databases (Pinecone, Redis, pgvector).
- Familiarity with evaluation frameworks, rollout gates, and FinOps optimization.
- Exposure to policy-as-code (OPA), feature management (LaunchDarkly), or NeMo Guardrails.
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