AI Infrastructure Engineer

New

Skills

Cloud Elasticsearch Engineer Kafka LangChain Prompt Engineering Python Pytorch Ruby On Rails Software Engineering

Join Clari's dynamic engineering team as an AI Infrastructure Engineer, where you'll contribute to building an enterprise-grade platform powering revenue intelligence for leading global companies. As part of a collaborative, agile environment, you'll design and deliver scalable, cloud-based AI solutions that drive business outcomes, working remotely from anywhere in India with periodic travel to our Bengaluru office.

Job Overview

We are seeking a passionate AI Engineer with hands-on experience in large language models and backend infrastructure. You'll collaborate closely with cross-functional teams to develop microservices, implement advanced retrieval and summarization features, and ensure safety and high performance across Clari's revenue platform. This role offers a unique opportunity to innovate with cutting-edge technologies and shape the future of revenue intelligence.

Key Responsibilities
  • Design and deploy microservices combining retrieval-augmented generation (RAG), prompt pipelines, and tool-calling agents for tasks such as summarization, Q&A, topic detection, and sentiment scoring.
  • Develop ingestion and embedding pipelines to process and index millions of calls and emails into vector stores like Elasticsearch or Pinecone.
  • Establish and maintain evaluation harnesses, including human-in-the-loop processes and model safety guardrails such as PII filtering and toxicity checks.
  • Work closely with product managers and designers to run A/B tests, iterate on features, and ship improvements rapidly using feature flags.
  • Contribute high-quality Python production code, perform code reviews, write design documentation, and support product squads in integrating LLMs.
Required Skills & Qualifications
  • 2+ years of engineering experience, including 1+ year building or integrating LLM/GenAI features (OpenAI, Bedrock, Claude, Llama2).
  • Proficient in Python (typing, async, pytest) and familiar with at least one ML/LLM framework: PyTorch, Hugging Face Transformers, or LangChain/LlamaIndex.
  • Hands-on experience with vector databases/search stacks (Elasticsearch k-NN, Pinecone, FAISS, or equivalent).
  • Strong backend fundamentals: REST/GraphQL, distributed queues (Kafka/SQS).
  • Understanding of prompt engineering, tuning (temperature/top-p), embeddings, and token cost optimization.
  • Comfortable reading research papers and rapidly prototyping new ideas.
  • Clear written and verbal communication skills for both technical and non-technical audiences.
  • Exposure to high-throughput inference stacks such as Ray or Triton is a plus.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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