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Principal Engineer, Agentic AI

Principal Engineer, Agentic AI

NagarroIndia
4 hours ago
Job description

Job Description

REQUIREMENTS :

  • Total experience13+ years.
  • Should have experience to architect and design scalable, autonomous AI systems with a focus on Generative AI, agentic frameworks, and foundation models
  • Should be able to lead the evaluation and integration of open-source and proprietary LLMs (., GPT, Claude, LLaMA, Mistral).
  • Should be able to define architectures for autonomous agents, multimodal models (text, image, audio), Retrieval-Augmented Generation (RAG) systems, and natural language to SQL pipelines.
  • Should be able to collaborate with product, research, and engineering teams to align AI initiatives with business strategy.
  • Should have hands-on experience with frameworks such as Hugging Face Transformers, LangChain, OpenAI API, or similar.
  • Deep understanding of agent orchestration frameworks (., AutoGen, CrewAI, LangGraph), LLM fine-tuning (., LoRA, PEFT), RAG pipelines, and vector databases (., FAISS, Pinecone).
  • Should be able to design solutions leveraging cloud-native architecture (AWS, GCP, Azure), with emphasis on GPU infrastructure.
  • Must have experience to develop modular, goal-driven AI systems capable of task planning, memory persistence, context tracking, and multi-agent collaboration.
  • Should have experience building autonomous AI agents using frameworks such as AutoGPT, LangGraph, CrewAI, or ReAct.
  • Strong understanding of task decomposition, memory management, and tool augmentation in agentic workflows.
  • Should have familiarity with long-context memory techniques and multi-agent coordination strategies.
  • Must have hands-on experience with agent simulations, LLM-driven planning, and dynamic tool selection.
  • Should have knowledge of how to embed feedback, reasoning loops (., Reflexion, Chain-of-Thought), and self-correction mechanisms into GenAI agents.
  • Must have experience with human-in-the-loop (HITL) oversight and reinforcement learning for autonomous systems.
  • Exhibit excellent communication, leadership, and collaboration skills.

RESPONSIBILITIES :

  • Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
  • Must be able to establish best practices for fine-tuning, prompt engineering, model compression, and inference optimization.
  • Should be able to Implement robust MLOps practices for model versioning, deployment, monitoring, and governance.
  • Address ethical AI concerns including bias, hallucination, and data privacy in generative applications.
  • Provide technical leadership in building and deploying generative models (LLMs, diffusion models, transformers, .
  • Ensure the responsible deployment of autonomous agents through safety layering, feedback loops, and auditability mechanisms.
  • Mapping decisions with requirements and be able to translate the same to developers.
  • Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
  • Defining guidelines and benchmarks for NFR considerations during project implementation.
  • Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
  • Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
  • Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
  • Understanding and relating technology integration scenarios and applying these learnings in projects.
  • Resolving issues that are raised during code / review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
  • Carrying out POCs to make sure that suggested design / technologies meet the requirements.

    • Qualifications

    Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

    Additional Information

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