Required Skills and Technologies
7+ years of software engineering experience with strong backend ownership. Hands-on AI/ML engineering experience with LLM systems in production. Deep practical knowledge of Agentic AI frameworks and multi-step workflow engines. Strong experience with RAG architecture and vector search technologies (FAISS, Pinecone, Weaviate, pgvector, Milvus). Hands-on experience in LLM training and fine-tuning workflows (instruction tuning, domain adaptation, PEFT/Lo RA/QLo RA, and parameter-efficient methods). Python (primary) with API frameworks such as Rapid API/Flask and asynchronous programming patterns. Containerization and orchestration with Docker and Kubernetes (Helm, ingress, secrets, HPA, resource quotas, monitoring). CI/CD ownership using Git Hub Actions/Git Lab CI/Jenkins and infrastructure-as-code patterns (Terraform/Ansible/Helm). Datastores and caching: Postgre SQL, Redis, and object storage, with exposure to No SQL where needed. Cloud fundamentals on AWS/GCP/Azure (compute, container registries, IAM, networking, managed databases).



Experience with observability stack (Prometheus, Grafana, Open Telemetry, ELK/Opensearch, alerting). Preferred / Plus
Experience with MLflow, DVC, Weights & Biases, or equivalent experiment and dataset lifecycle tooling. Experience with serving stacks: Triton, v LLM, Torch Serve, Text Generation Inference, Bento ML, or equivalent. Experience with agent memory stores, retrieval quality benchmarking, and policy/safety layers for autonomous agents. Familiarity with Terraform, Argo CD, or Git Ops workflows for AI platform delivery. Security/compliance and governance awareness for AI systems (data privacy, prompt-injection controls, and auditability). What We Expect
Own complex AI backend features from design to production with measurable impact. Design systems for reliability, observability, and cost-aware scaling. Drive trade-off decisions across model quality, latency, and infrastructure costs. Communicate c

📌 Backend ai engineer (Bengaluru)
🏢 cirruslabs
📍 Bengaluru