Techmatters - AI Engineering Manager

6 - 10 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Description

About the Role :

Were hiring an engineer who blends large-language-model know-how, data-platform chops, and product sense. You will architect the AI stack from ingestion pipelines through model deployment, standup a credit-aware inference platform, and integrate language models into both customer-facing features and internal tools.

Key Responsibilities

  • Own the AI roadmap translate business priorities into model, data, and infrastructure milestones.
  • Build data & ML infrastructure design data lake, feature store, vector search (pgvector), model registry, and CI/CD for ML.
  • Develop and deploy models train or fine-tune models the domain data; serve them behind low-latency, cost-controlled APIs.
  • Ensure quality, cost, and compliance set up automated evaluation, token-spend monitoring, and GDPR-safe data flows.

Skills And Qualifications

  • 6 to 10 years in back-end or full-stack engineering with at least one Gen-AI product or workflow in production.
  • Strong in Java and fluent in Python or Node for ML tooling.
  • Practical experience with LLMs, embeddings, vector search, and retrieval-augmented generation.
  • Deep familiarity with AWS or GCP services, container orchestration, CI/CD, and monitoring.
  • Comfortable setting up data models and MLOps processes (model registry, drift alerts, blue-green model deploys).
  • Proven leadership in code reviews, technical mentoring, and cross-functional communication
(ref:hirist.tech)

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