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Generative AI Engineer
Generative AI EngineerRecro • Bangalore (division)
Generative AI Engineer

Generative AI Engineer

Recro • Bangalore (division)
15 days ago
Job description

🧠 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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