AI Engineer (India)

Experience: ~4 to 8 years overall, including 3+ years hands-on with GenAI/LLM systems in production.

Must-have

- Python (production grade), FastAPI, REST/gRPC service design
- Agentic frameworks: LangGraph or LangChain, multi-agent orchestration, tool calling
- MCP servers and clients, agent/tool registry, model gateway and abstraction
- RAG pipelines, embeddings, vector stores
- LLM observability and evaluation: Langfuse, RAGAS, LLM-as-judge
- GenAI guardrails: prompt-injection detection, PII detection and redaction, input/output scanning
- GCP, Docker, Kubernetes, Helm, Terraform
- CI/CD (Harness or equivalent), blue/green deployments
- Run & protect: runbooks, SLOs, incident triage, vulnerability remediation (SAST/SCA)

Nice-to-have

- Neo4j/Cypher, knowledge graphs,



ontology (OWL/YAML)
- Fine-tuning classifiers (DeBERTa, GLiNER) to reduce false positives
- Agent memory and session management, SDK design
- Multi-region deployment with data-residency and compliance constraints (India, UK, LATAM)
- Cost attribution and token/usage tracking
- Financial services or regulated-data experience

Working model: Works India hours with partial US overlap. Takes on-call and enablement ownership, and handles KT and documentation. Doesn't lead pods.

Pay: ₹2,473,984.98 - ₹3,759,619.55 per year

Work Location: Remote

📌 AI Engineer (India)
🏢 AgilysNxt
📍 India