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AI / ML Engineer/Lead

India, Pune · Job Posted June 03, 2026
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Job Description

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions. You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems.

Job Responsibility

  • Generative AI Pipeline Development
  • Data and Document Ingestion
  • AI Service Integration
  • Retrieval-Augmented Generation (RAG) Pipelines
  • LLM Integration and Optimization
  • Backend Services Ownership

Requirements

  • Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or related field
  • 5+ years of experience in AI/ML engineering with end-to-end pipeline development
  • Hands-on experience building and deploying LLM/RAG systems in production
  • Strong experience with public cloud platforms (AWS, Azure, or GCP)
  • Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch
  • Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph
  • Experience with RESTful API development and version control using Git
  • Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval
  • Familiarity with Docker, Kubernetes, and scalable microservice design
  • Experience with observability tools like Prometheus, Grafana, or Langfuse
  • Knowledge of LLMs, VAEs, Diffusion Models, GANs
  • Experience building structured + unstructured RAG pipelines
  • Prompt engineering with safety controls, schema enforcement, and hallucination mitigation
  • Experience with prompt testing, caching strategies, output filtering, and fallback logic
  • Familiarity with DPO, RLHF, or other feedback-based fine-tuning methods
  • Strong analytical, problem-solving, and debugging skills
  • Excellent collaboration with cross-functional teams: product, QA, and DevOps
  • Ability to work in fast-paced, agile environments and deliver production-grade solutions
  • Clear communication and strong documentation practices

Nice to have

  • Experience with OCR, document parsing, and layout-aware chunking
  • Hands-on with MLOps and LLMOps tools for Generative AI
  • Contributions to open-source GenAI or AI infrastructure projects
  • Knowledge of GenAI governance, ethical deployment, and usage controls
  • Experience with hallucination suppression frameworks like Guardrails.ai, Rebuff, or Constitutional AI

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