AI Engineer

As a AI Engineer, your role typically involves programming. You would be responsible for the commitments in terms of time, effort and quality of work. You would likely be a part of a larger offshore team and are expected to work collaboratively with your peers onsite and offshore to deliver milestone/sprint-based deliverables.
Typical activities that would be expected are

• Program and deliver as per the scope provided by the delivery leads/onsite managers.
  
• Actively participate in the discussions/scrum meetings to comprehend and understand your scope of work and deliver as per your estimates/commitments
  
• Proactively reach out to others when you need assistance and to showcase your work
  
• Work independently on your assigned work

Requirements

Should have experience in the below:

• Python (Advanced proficiency)
  
• PyTorch / TensorFlow (Model Development & Deployment)
  
• LangChain / LlamaIndex (LLM Orchestration)
  
• HuggingFace Transformers
  
• OpenAI, AWS Bedrock, Vertex AI, or Azure OpenAI APIs
  
• Vector Databases for RAG (Weaviate / Milvus / FAISS/mongodb)
  
• MongoDB / PostgreSQL (Structured Data Retrieval & Joins)
  
• Redis / DynamoDB (Fast Caching & Lookup)
  
• Kafka / RabbitMQ (Message Queues for Real-Time Inference)
  
• FastAPI / Flask (Backend APIs for ML Serving)
  
• Docker (Containerization for Model Inference)
  
• CI/CD Pipelines (GitHub Actions / GitLab CI / Jenkins)
  
• MLflow / Weights & Biases (Experiment Tracking & Model Management)
  
• S3 / GCS (Storage for Model Artifacts & Datasets)
  
• ElasticSearch / OpenSearch (Search over structured/unstructured text)
  
• Linting & Testing: Pytest, Black, Ruff, Flake8
  
• Type Hinting, Documentation Standards, YAML/JSON Config Management
  
• LLM training - finetuning (PEFT), pre-training
  
• Should be familiar with at least two Gen AI platform like Amazon Bedrock, Copilot, Vertex, etc..
  
• Should be familiar with at least two model like Claude, ChatGPT, Gemini, etc..
  
• Should be familiar with RAG Model and Agentic AI model
  

• response
  
• Experience leading teams on LLM/NLP/ML projects end-to-end
  
• Excellent architectural decision-making & scalability mindset
  
• Familiarity with prompt engineering, evaluation metrics, and benchmarking
  
• Strong communication, documentation, and client-handling skills

Benefits

• Insurance benefits for the self and the spouse, including maternity benefits.
  
• Ability to work on many products as the organization is focused on working with several ISVs.
  
• Monthly sessions to understand the directions of each function and an opportunity to interact with the entire hierarchy of the organization.
  
• Celebrations are a common place - physical or virtual. Participate in several games with your coworkers.
  
• Voice your opinions on topics other than your work - Chimera Talks.
  
• Hybrid working models - Remote + office