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Newpage - Senior AI / ML Engineer

Newpage - Senior AI / ML Engineer

NewpageDelhi, IN
11 days ago
Job type
  • Remote
Job description

Job Description :

  • Design, architect, and implement state-of-the-art Generative AI applications and agentic systems using modern AI frameworks such as LangChain, LlamaIndex, or custom orchestration layers.
  • Seamlessly integrate large language models (i.e., GPT-4, Claude, Mistral) into production workflows, tools, or customer-facing applications.
  • Build scalable, reliable, and high-performance backend systems using Python and modern frameworks to power GenAI-driven features.
  • Take ownership of prompt engineering, tool usage, and long / short-term memory management to develop intelligent and context-aware agents.
  • Deliver high-quality results rapidly by leveraging Cursor and other AI-assisted "vibe coding" environments for fast development, iteration, and debugging.
  • Use vibe coding tools effectively to accelerate delivery, reduce development friction, and fix bugs quickly with minimal overhead.
  • Participate in and lead the entire SDLC, from requirements analysis and architectural design to development, testing, deployment, and maintenance.
  • Write clean, modular, well-tested, and maintainable code, following best practices including SOLID principles and proper documentation standards.
  • Proactively identify and resolve system-level issues, performance bottlenecks, and edge cases through deep debugging and optimization.
  • Collaborate closely with cross-functional teams-including product, design, QA, and ML-to iterate quickly and deliver production-ready features.
  • Execute end-to-end implementations and POCs of agentic AI frameworks to validate new ideas, de-risk features, and guide strategic product development.
  • Contribute to internal tools, libraries, or workflows that enhance development speed, reliability, and team productivity.

What You Bring :

  • Extensive Python Expertise : Hands-on experience in Python development, with a focus on clean, maintainable, and scalable code.
  • Software Design Principles : Mastery of OOP, SOLID principles, and design patterns; proven experience designing and leading complex software architectures.
  • GenAI Frameworks : Practical experience with frameworks like LangChain, LlamaIndex, or other agent orchestration libraries.
  • LLM Integration : Direct experience integrating APIs from OpenAI, Anthropic, Cohere, or similar providers.
  • Prompt Engineering : Strong understanding of prompt design, refinement, and optimization for LLM-based applications.
  • RAG Systems : Experience architecting and implementing Retrieval Augmented Generation (RAG) pipelines and solutions.
  • Vector Databases : Exposure to FAISS, Pinecone, Weaviate, or similar tools for semantic retrieval.
  • NLP / ML Knowledge : Solid foundation in Natural Language Processing and core machine learning concepts
  • Cloud & Deployment : Familiarity with cloud platforms like AWS, GCP, or Azure, including deployment of GenAI solutions at scale.
  • Containerization & Orchestration : Proficient with Docker, with working knowledge of Kubernetes.
  • MLOps / LLMOps Tools : Experience with platforms such as MLflow, Weights & Biases, or equivalent tools.
  • Semantic Search / Knowledge Graphs : Exposure to knowledge graphs, ontologies, and semantic search technologies.
  • Development Lifecycle : Strong grasp of SDLC processes, Git-based version control, CI / CD pipelines, and Agile methodologies
  • (ref : hirist.tech)

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