AI Engineer
7 days ago
Job Opening ID
JRF529
Date Opened
09/15/2025
Job Type
Contract
Industry
IT Services
City
Bangalore South
State/Province
Karnataka
Country
India
Zip/Postal Code
560102
Job DescriptionAs 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
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
Architectural Requirements:
Strong understanding of AI system design: data ingestion preprocessing model retrieval
- 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
- 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
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