AI/ML Engineer (LLMs & Generative AI)- Immediate Joining!!

AI/ML Engineer (LLMs & Generative AI)

Location:

Experience:

Employment Type:

Preferred Candidates : Immediate Joiners!!

About the Role

AI/ML Engineer

Key Responsibilities

• Design, develop, and deploy AI/ML solutions using Python.
• Build and optimize applications leveraging Large Language Models (LLMs).
• Develop and fine-tune prompts for different AI use cases through effective prompt engineering.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines.
• Develop and integrate AI agents for intelligent automation and workflow orchestration.
• Work with vector databases for semantic search and knowledge retrieval.
• Evaluate model performance using appropriate metrics and implement continuous improvements.
• Build scalable, production-ready AI applications following MLOps best practices.
• Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.
• Write clean, maintainable, and well-documented code following software engineering best practices.
• Stay updated with the latest advancements in AI, machine learning, and Generative AI technologies.

Required Skills & Qualifications

• 3-6 years of experience in AI/ML or related software development roles.
• Strong programming skills in

  Python

  .
• Hands-on experience with machine learning frameworks such as

  PyTorch

  and/or

  TensorFlow

  .
• Practical experience working with

  Large Language Models (LLMs)

  .
• Strong understanding of

  Prompt Engineering

  techniques.
• Experience in building

  Retrieval-Augmented Generation (RAG)

  applications.
• Experience developing

  AI Agents

  using modern AI frameworks.
• Hands-on experience with

  Vector Databases

  (such as Pinecone, Chroma, FAISS, Weaviate, or Milvus).
• Knowledge of

  Model Evaluation

  methodologies and performance optimization.
• Good understanding of

  MLOps fundamentals

  , including model deployment, monitoring, and lifecycle management.
• Strong analytical, debugging, and problem-solving skills.
• Good understanding of software engineering principles, data structures, algorithms, and API development.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Exposure to Docker, Kubernetes, and CI/CD pipelines.
• Familiarity with LangChain, LlamaIndex, CrewAI, AutoGen, or similar AI orchestration frameworks.
• Experience with REST APIs, FastAPI, or Flask.
• Knowledge of Git version control and Agile development methodologies.

What We Offer

• Opportunity to work on cutting-edge AI and Generative AI projects.
• Exposure to modern AI tools, frameworks, and technologies.
• Collaborative and innovation-driven work environment.
• Career growth opportunities and continuous learning.
• Competitive compensation and benefits.