AI NLP Engineer

Evalueserve India

Gurugram District

On-site

INR 800,000 - 1,500,000

Full time

14 days+
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Job summary

Evalueserve India is seeking an experienced AI Application Developer to design and deploy LLM-powered Generative AI applications. The role involves developing various AI solutions such as chatbots and content generation tools while ensuring high performance. Ideal candidates have a degree in computer science or related fields, 1-3 years of software development experience, and expertise in cloud platforms, Python, and NLP. The position offers opportunities for collaboration with cross-functional teams and the chance to work with cutting-edge AI technologies.

Qualifications

  • 1-3 years of experience in software development.
  • Collaborate with cross-functional teams to integrate AI models.
  • Strong problem-solving skills and experience in agile environments.

Responsibilities

  • Design, develop, and optimize LLM-based applications.
  • Write clean, modular, and scalable code.
  • Implement prompt engineering and model optimization techniques.

Skills

LLM-based applications design
Python programming
Cloud platforms (AWS, GCP, Azure)
NLP techniques
Agile methodologies

Education

Bachelor's / Master’s degree in computer sciences or related fields

Tools

Docker
Kubernetes
Vector databases (FAISS, ChromaDB, Weaviate)

Job description

Job Summary

We are looking for an experienced person who has good experience in designing, developing, and deploying LLM-powered Generative AI applications for diverse use cases such as chatbots, content generation, summarization, and code automation.

Key Responsibilities
  • Design, develop, and optimize LLM-based applications for various use cases such as chatbots, content generation, summarization, and code generation.
  • Design, develop, and deploy high-performance Generative AI applications using Python, LLMs, and deep learning frameworks.
  • Write clean, modular, and scalable code while ensuring best practices in software development.
  • Fine-tune and deploy large-scale open-source and proprietary language models (e.g., OpenAI GPT, LLaMA, Mistral, Falcon, Claude).
  • Implement prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques to improve AI performance.
  • Work with vector databases (FAISS, ChromaDB, Weaviate, etc.) for efficient retrieval and indexing of large datasets.
Core Competencies
  • Strong expertise in cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and application deployment architecture.
  • Comprehensive understanding of agile methodologies, ITSM, and project governance.
  • Excellent written and oral communication skills; ability to engage with senior stakeholders and clients.
  • Experience in leveraging NLP techniques for diverse business problems (content generation, Q&A, information retrieval, knowledge extraction).
Required Qualifications
  • A bachelor's / master’s degree in computer sciences, information systems, statistics, or mathematics, with 1-3 years of experience in software development.
  • Collaborate with cross-functional teams, including data scientists, MLOps engineers, and product managers, to integrate AI models into production systems.
  • Optimize model performance and reduce latency using quantization, distillation, and pruning techniques.
  • Stay up to date with cutting‑edge research in AI, NLP, and deep learning to continuously improve solutions.
  • Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for model deployment.
  • Strong problem‑solving skills and experience working in an agile development environment.
  • 1+ years of experience in AI/ML, deep learning, or software development.
Preferred Qualifications
  • Delegate projects, assess resource allocation, and support product development initiatives.
  • Foster open communication across teams and with clients/business stakeholders.
  • Lead planning, monitoring, and control activities, including daily standups and project governance.
  • Exceptional stakeholder management and executive communication skills.
  • Excellent problem-solving and communication skills.
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