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AI and Machine Learning

Senior AI Engineer, GenAI and MLOps

Own AI and GenAI solutions end to end, from architecture and RAG pipeline design through to production MLOps, for a confidential enterprise client building out its AI platform across four hiring cities.

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About This Role

India has roughly one qualified AI engineer for every ten open GenAI roles (TeamLease Digital), and NASSCOM projects a shortfall of close to one million AI-skilled professionals by 2027 (NASSCOM and Deloitte). At the senior end of that gap, the scarcity is sharper still: engineers who have actually carried an AI or GenAI system through to production, not just a notebook or a demo. This role is for someone who can take ownership of that system end to end, with strong foundations in machine learning, LLMs, data engineering, and cloud platforms, for a confidential enterprise client.

What You Will Own

  • Design, build, and deploy machine learning and generative AI models, including LLMs, embeddings, transformers, and RAG pipelines
  • Develop scalable AI services and microservices using Python, REST APIs, and cloud-native technologies, optimised for performance, accuracy, and cost efficiency
  • Work with structured and unstructured datasets for feature engineering, vectorisation, and model training, and build data pipelines for training, validation, and inference
  • Collaborate with data engineering teams on data ingestion, storage, and governance
  • Implement CI/CD pipelines for ML models (MLOps), monitor model performance and drift, and implement retraining strategies
  • Manage model lifecycle, logging, and observability
  • Integrate AI systems with enterprise applications, APIs, and cloud platforms (Azure, AWS, or GCP)
  • Build Retrieval-Augmented Generation (RAG) architectures using vector databases such as Pinecone, FAISS, Weaviate, or Azure AI Search, aligned with enterprise security, compliance, and ethical AI standards
  • Work with product, engineering, domain experts, and business teams to translate requirements into technical solutions, and communicate AI capabilities and limitations to non-technical stakeholders
  • Lead proofs of concept, demos, and conceptual solutioning, and bring junior engineers up to speed on production AI practices

What You Need to Succeed

  • 5-8 years of relevant industry experience, with strong proficiency in Python (NumPy, Pandas, PyTorch, TensorFlow, Transformers)
  • Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Llama, or equivalent), including systems that have reached production, not only pilots
  • Expertise in ML algorithms, NLP, deep learning, and vector embeddings
  • Experience with cloud platforms (Azure, AWS, or GCP) and serverless compute
  • Familiarity with MLOps tools such as MLflow, Kubeflow, Azure ML, SageMaker, or Databricks
  • Experience using vector databases such as Pinecone, Chroma, FAISS, or Azure AI Search
  • Knowledge of containerisation with Docker and Kubernetes

What Will Give You an Edge

  • Having taken architectural ownership of a RAG or LLM system from design through to production incident response
  • Experience operating within enterprise security, compliance, and ethical AI guardrails at scale, not only in a research or sandbox environment
  • A track record of translating AI capabilities and trade-offs for non-technical business stakeholders and senior leadership

What Qfyre Offers

  • Senior-level ownership on a live enterprise AI build-out, with real architectural decision-making, not a prototyping sandbox
  • Choice of hiring city across Bengaluru, Chennai, Pune, or Hyderabad
  • A confidential search process managed by a specialist talent partner, not a high-volume vendor

Skills and Technologies

PythonPyTorchLLMsRAGMLOpsVector DBAzure/AWS/GCPKubernetes
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FAQ

Questions About This Role

Common questions from candidates and applicants.

What does the application process look like for the Senior AI Engineer role?+

Submit your application via the form on this page. A Qfyre domain specialist will review your profile, not an automated keyword filter, and will be in touch within two business days if there is a strong fit. We may arrange a brief introductory call before presenting your profile to the client.

Is this Senior AI Engineer role a permanent position or contract?+

This is a Full Time position based in Bengaluru, Chennai, Pune, or Hyderabad, on-site. Specific contract terms and benefits are discussed during the briefing process once your profile has been reviewed.

What experience level is required for this Senior AI Engineer role?+

This role requires 5-8 years of relevant experience, with demonstrated ownership of AI or GenAI systems in production, not just prototypes. If your experience is slightly outside the stated range but you have strong relevant capability, we encourage you to apply, we assess profiles holistically, not against a checklist.

Who is the hiring client for this role?+

This is a confidential search for an enterprise client undergoing active AI platform build-out across multiple hiring cities. Client details are shared directly with shortlisted candidates once an initial conversation confirms mutual fit.

What are the role's core technical requirements?+

Strong Python (NumPy, Pandas, PyTorch, TensorFlow, Transformers), hands-on LLM experience (OpenAI, Azure OpenAI, Anthropic, Llama), RAG architecture using a vector database (Pinecone, Chroma, FAISS, or Azure AI Search), at least one major cloud platform, MLOps tooling, and containerisation with Docker and Kubernetes.