Gen AI Solution Architect
22 hours ago
Gen AI Solution Architect
We're hiring Gen AI Solution Architect
Experience -10 years
Joining- Immediate - 30 days
Requirement:
1. Hands-on builds in production using LLMs developed systems used by real users
2. LLM integration experience: function/tool calling, structured outputs (JSON schema), and tool ecosystems, API & database connectors, message buses, webhooks, and enterprise apps (e.g., Salesforce, ServiceNow, Jira, Slack).
3. RAG in the wild: vector DBs, embedding strategies, retrieval tuning, rerankers.
4. Multi-agent orchestration: used or composed frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel) or built equivalent patterns.
5. System design chops: event-driven architectures, microservices, queues (Kafka/SNS/SQS/PubSub), APIs, auth, and observability.
6. Security & compliance sensibility: PII handling, data residency, model privacy modes, secrets management, auditability.
7. Strong coding in at least one of Python or TypeScript/Node, plus infra-as-code/containerization (Docker, K8s).
8. Evaluations mindset: offline eval harnesses, regression tests, and acceptance thresholds for rollout
9. Productionize safely: evals, red-teaming, guardrails (toxicity/PII/PHI), grounding checks, hallucination mitigation, rate limiting, quotas, fallback strategies.
Nice to Have:
1.Knowledge graphs, hybrid search (BM25 dense), rerankers (e.g., Cohere/ColBERT/TEI).
2.Fine-tuning / LoRA / adapters; prompt-cache and distillation.
3.Multimodal (vision/audio), streaming TTS/ASR.
4.Analytics monitoring for AI (e.g., Arize/WhyLabs/Weights & Biases/Helicone/TruLens).
5.Cloud chops: AWS/GCP/Azure LLM offerings; secrets and KMS.
Interested candidates may share profile.
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