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Generative AI Engineer - LLM

Generative AI Engineer - LLM

TEAM GEEK SOLUTIONS PRIVATE LIMITEDHyderabad
5 days ago
Job description

Generative AI Engineer (Hybrid, India)

A fast-growing provider in the Enterprise Software & Artificial Intelligence services sector, we architect and deliver production-ready large-language-model platforms, data pipelines, and intelligent assistants for global customers.

Our cross-functional squads blend deep ML expertise with robust engineering practices to unlock rapid business value while maintaining enterprise-grade security and compliance.

Role & Responsibilities :

  • Design, build, and optimise end-to-end LLM solutions covering data ingestion, fine-tuning, evaluation, and real-time inference.
  • Develop Python micro-services that integrate LangChain workflows, vector databases, and tool-calling agents into secure REST and gRPC APIs.
  • Implement retrieval-augmented generation (RAG) pipelines, embedding models, and semantic search to deliver accurate, context-aware responses.
  • Collaborate with data scientists to productionise experiments, automate training schedules, and monitor drift, latency, and cost.
  • Harden deployments through containerisation, CI / CD, IaC, and cloud GPU orchestration on Azure or AWS.
  • Contribute to engineering playbooks, mentor peers, and champion best practices in clean code, testing, and observability.

Skills & Qualifications :

Must-Have :

  • 3-6 years Python backend or data engineering experience with strong OO & async patterns.
  • Hands-on building LLM or GenAI applications using LangChain / LlamaIndex and vector stores such as FAISS, Pinecone, or Milvus.
  • Proficiency in prompt engineering, tokenisation, and evaluation metrics (BLEU, ROUGE, perplexity).
  • Experience deploying models via Azure ML, SageMaker, or similar, including GPU optimisation and autoscaling.
  • Solid grasp of MLOps fundamentals : Docker, Git, CI / CD, monitoring, and feature governance.

    • Preferred :

  • Knowledge of orchestration frameworks (Kubeflow, Airflow) and streaming tools (Kafka, Kinesis).
  • Exposure to transformer fine-tuning techniques (LoRA, PEFT, quantisation).
  • Understanding of data privacy standards (SOC 2, GDPR) in AI workloads.

    • Benefits & Culture Highlights :

  • Hybrid work model with flexible hours and quarterly in-person sprint planning.
  • Annual upskilling stipend covering cloud certifications and research conferences.
  • Collaborative, experimentation-driven culture where engineers influence product strategy.

    • Join us to turn breakthrough research into real-world impact and shape the next generation of intelligent software

    ref : hirist.tech)

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    Generative Ai Engineer • Hyderabad