1 - 3 years

8 - 11 Lacs

Posted:4 days ago| Platform: GlassDoor logo

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Job Type

Full Time

Job Description

Job Title: Senior NLP EngineerOverview

Location:- Ahmedabad

Experience : 1-3 years

Employment Type: ( Full- Time - Day Shift)

We are looking for a highly capable and experienced Senior NLP Engineer to lead the design and development of cutting-edge LLM and NLP-driven systems. The ideal candidate will bring strong hands-on expertise in RAG architectures, agentic and multi-agent systems, LangChain/LangGraph, and modern Transformer-based models. This role requires deep technical skills, a solid understanding of microservice-based architectures, and the ability to drive AI experimentation and evaluations at scale.

You will collaborate closely with cross-functional teams, guide junior engineers, and contribute to shaping the product roadmap for AI-driven solutions.

Key Responsibilities

  • Architect, design, and implement RAG-based systems, agentic workflows, and multi-agent AI applications.
  • Lead the development and optimization of LLM-based pipelines using LangChain, LangGraph, and advanced context engineering.
  • Drive AI evaluations, experiment design, benchmarking, and model performance analysis.
  • Build scalable backend microservices using FastAPI or Flask, ensuring efficient integration with NLP/LLM components.
  • Manage and optimize vector databases such as Milvus, Pinecone, or Qdrant for high-performance retrieval.
  • Develop robust data pipelines and maintain structured datasets using SQL and modern data management practices.
  • Collaborate with product, engineering, and data teams to translate requirements into technical solutions.
  • Mentor and guide team members, contribute to Agile ceremonies, and support sprint planning and delivery.
  • Prepare and maintain high-quality technical documentation, architecture diagrams, and product documentation.
  • Ensure best practices in system design, code quality, scalability, security, and deployment

Required Qualifications & SkillsTechnical Must-Haves

  • 1-3 years of hands-on experience building NLP / LLM-based systems.
  • Strong expertise in:
  • RAG architectures, agentic systems, multi-agent AI
  • LangChain, LangGraph, context engineering
  • LLMs and Transformer-based models (conceptual and practical understanding)
  • AI evaluations, experiment design, and A/B testing
  • Microservices architecture and distributed system design
  • Vector databases: Milvus, Pinecone, Qdrant
  • FastAPI or Flask for API development
  • SQL for data modeling and querying
  • Proven team management or technical leadership experience.
  • Excellent written and verbal communication skills.
  • Ability to create clear and detailed product and technical documentation.

Nice-to-Have Skills

  • Experience with GCP, AWS, or Azure cloud services.
  • Practical knowledge of Docker, Kubernetes, and containerized deployments.
  • Contributions to product ideation, feature discovery, and roadmap formulation.
  • Knowledge of MCP, networking fundamentals, or ITSM domain practices.
  • Experience with RabbitMQ or similar message brokers.
  • Background in deep learning (CNN, RNN, LSTM, GANs) and advanced Transformer architectures.
  • Experience with pre-trained encoder/decoder models, fine-tuning, or domain adaptation techniques.

Who You Are

  • A self-driven engineer passionate about modern NLP and LLM advancements.
  • A strong systems thinker with an ability to design scalable AI architectures.
  • An effective communicator who collaborates well across teams.
  • A mentor who enjoys guiding teams toward technical excellence.
  • A problem-solver with a product-first mindset and strong attention to detail.

Why Join Us?

  • Work on cutting-edge AI solutions with real-world impact.
  • Opportunity to lead initiatives and influence product and technology direction.
  • Collaborative, innovative, and growth-oriented team culture.

Job Type: Full-time

Pay: ₹70,000.00 - ₹95,000.00 per month

Benefits:

  • Leave encashment
  • Paid sick time
  • Paid time off

Work Location: In person

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