Software Engineer II, AI Infra

Clari Software

2 - 7 years

8 - 12 Lacs

bengaluru

Posted:4 days ago| Platform:

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Skills Required

business process backend mysql agile workflow mongodb adobe forecasting sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Applied GenAI Engineering: Design and ship micro-services that combine retrieval augmented generation (RAG), prompt pipelines, and tool calling agents for use-cases such as summarisation, Q&A, topic-detection, sentiment scoring, agentic workflow, multi-agent orchestration, large data pipeline etc
Evaluation & Safety: Own offline + online eval harnesses (BLEU, ROUGE, human-in-the-loop, red-teaming) and put AI guard-rails in place (PII filtering, toxicity checks)
Fast Iteration: Pair with PMs & designers to run A/B tests, ship weekly behind feature flags, and iterate based on usage signals
Technical Depth: Contribute Python production code (FastAPI/Ray) plus tests; review PRs, write design docs, and champion best practices for other product squads integrating LLMs

Qualifications

2+ years of professional experience developing backend applications, with strong proficiency in Python (typing, async, pytest etc).
Solid understanding of scalable backend architectures.
Good knowledge of backend fundamentals: REST/GraphQL, distributed queues (Kafka/SQS), SQL (Postgres, MySQL) and NoSQL databases (MongoDB)
Comfortable working in Kubernetes-based environments and deploying applications in the cloud (AWS preferred)
Understanding of multi-threading, data replication, and cloud-native design patterns
Proven ability to deliver reliable, data-driven applications at scale
Experience with GenAI, ML/LLM framework (PyTorch, Hugging Face Transformers, or LangChain/LlamaIndex etc), Prompt Engineering (prompt engineering, temperature / top p tuning, token cost optimisation etc), vector databases / search stacks (Elasticsearch k NN, Pinecone, FAISS, or equivalent) will be a plus.
Clear written & verbal communication; able to explain trade offs to both engineers and non technical stakeholders

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