AI/Ml Engineer

About the Role:

AI/ML Engineer

LLM development, MLOps, and enterprise AI deployments

Key Responsibilities:

• Develop and deploy scalable

  APIs/microservices

  using

  Flask

  and

  FastAPI

  .
• Work with

  state-of-the-art LLMs

  (Gemini, GPT-4/4o, LLaMA 3, Mistral, Mixtral, Falcon, Claude) and integrate them into real-world applications.
• Fine-tune and optimize

  open-source LLMs

  (LLaMA, Mistral, Falcon, etc.) for

  on-premise enterprise use cases

  .
• Implement

  RAG (Retrieval Augmented Generation)

  workflows using

  LangChain, LangGraph, and vector databases

  .
• Design and manage containerized and serverless deployments on

  AWS (EC2, S3, ECR, Lambda, API Gateway)

  using

  Docker

  .
• Collaborate with cross-functional teams to integrate AI services into production systems.
  
• Ensure performance, scalability, and cost optimization of deployed AI solutions.
  
• Stay ahead of trends in

  Generative AI, multi-modal models, and AI infrastructure

  .

Required Skills:

• Strong programming foundation in

  Python

  .
• Experience building APIs using

  Flask

  and

  FastAPI

  .
• Knowledge of

  LLM frameworks

  : Hugging Face Transformers, LangChain, LangGraph.
• Familiarity with

  leading models

  : Google Gemini, OpenAI GPT series, Meta LLaMA, Mistral/Mixtral, Falcon, Claude.
• Cloud expertise with

  AWS services

  (EC2, S3, ECR, Lambda, API Gateway).
• Containerization with

  Docker

  and version control using

  Git/GitHub

  .
• Experience with

  Elasticsearch

  for indexing, search, and RAG use cases.

Nice to Have (Added Advantage):

• Experience fine-tuning

  open-source LLMs

  (LLaMA, Mistral, Falcon, etc.) for on-prem deployments.
• Familiarity with

  vector databases

  (Pinecone, Weaviate, FAISS, Milvus).
• Understanding of

  MLOps tools

  (MLflow, DVC, SageMaker) for CI/CD in AI.
• Exposure to

  multi-modal models

  (text + image, text + audio) like Gemini Pro, LLaVA, or OpenAI GPT-4o.
• Database skills:

  PostgreSQL, MongoDB, or NoSQL stores

  .
• Strong grasp of

  data structures, algorithms, and system design

  .

What We Offer:

• Hands-on experience with

  cutting-edge AI models

  in real-world use cases.
• Opportunity to work on both

  cloud and on-prem deployments

  .
• Fast-paced learning with mentorship in

  LLM product development & MLOps

  .

Competitive salary, career growth, and exposure to global AI projects.