Data Scientist - Agentic AI Developer
Remote Data Scientist role at CAI building production-ready ML, GenAI, LLM/RAG, and multi-agent AI applications using Python, Databricks, and AWS Bedrock (with LangChain/LangGraph), covering the full lifecycle from data analysis and model building to deployment, monitoring, and stakeholder communication.
- Compensation
- Not disclosed
- Location
- Bengaluru
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- 6-8 years of Data Science experience including at least 3 years hands-on Generative AI experience
- At least 5 years of advanced Python development experience
- Strong expertise in Python, Pandas, NumPy, PySpark, SQL, and OOP
- Strong foundations in statistics, probability, machine learning, deep learning, hypothesis testing, and model evaluation
- Hands-on experience with Scikit-learn, XGBoost, LightGBM, and PyTorch or TensorFlow
- Experience building models and AI applications from first principles rather than only AutoML or pre-built components
- Hands-on experience building LLM applications using Claude via Amazon Bedrock or other foundation models
- Strong understanding of prompt engineering, structured outputs, function/tool calling, context management, caching, and LLM evaluation
- Proven experience building at least one end-to-end multi-step or multi-agent system
- Experience with agent tool design, state and memory management, human-in-the-loop workflows, retries, fallbacks, evaluation, tracing, and MCP
- Experience with RAG, embeddings, vector databases, hybrid search, metadata filtering, re-ranking, and query rewriting
- Knowledge of retrieval evaluation metrics including recall@k, MRR, and nDCG
- Hands-on experience with Databricks Apps, MLflow, Model Serving, Vector Search, Workflows, Delta Lake, and Unity Catalog
- Hands-on experience with AWS Bedrock, S3, IAM, Lambda, API Gateway, OpenSearch, SageMaker, and CloudWatch
- Experience with FastAPI, REST APIs, Git, Docker, automated testing, CI/CD, and Infrastructure as Code
Nice to have
- Experience developing NLP solutions: text classification, NER, information extraction, semantic search, document summarization
- Experience developing computer vision solutions: classification, object detection, segmentation, OCR, visual defect inspection
- Experience fine-tuning LLMs, embedding models, or vision models using LoRA, QLoRA, PEFT, or Hugging Face
- Experience deploying containerized AI services using ECS or EKS
- Experience on enterprise-scale AI solutions in manufacturing, industrial, engineering, or supply chain environments
Full description
Data Scientist - Agentic AI Developer
Req number:
R8813
Employment type:
Full time
Worksite flexibility:
RemoteWho we areCAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
Job Summary
We are looking for a motivated Data Scientist - Agentic AI Developer ready to take us to the next level! If you have advanced Python, Databricks, and AWS Bedrock experience and are looking for your next career move, apply now
Job Description
We are looking for a Data Scientist - Agentic AI Developer to develop, deploy, and monitor production-ready machine learning, Generative AI, LLM, RAG, and Agentic AI solutions. This position will be full-time and remote.What You’ll Do
- Partner with business and technical stakeholders to define problems, success metrics, KPIs, constraints, and solution approaches
- Perform data sourcing, exploratory data analysis, statistical analysis, feature engineering, data-quality checks, and hypothesis testing
- Build and evaluate machine learning, deep learning, time-series, anomaly-detection, recommendation, and optimization models
- Develop production-ready LLM, RAG, and Agentic AI applications using LangGraph, LangChain, Amazon Bedrock Agents, or similar frameworks
- Design multi-step and multi-agent workflows involving tool calling, state and memory management, human-in-the-loop approvals, retries, fallbacks, tracing, and MCP integrations
- Build secure and scalable AI solutions using Databricks Apps, MLflow, Model Serving, Vector Search, Workflows, Delta Lake, and Unity Catalog
- Develop applications on Amazon Bedrock using foundation models, Knowledge Bases, Agents, Guardrails, prompt management, and model evaluation
- Design advanced RAG pipelines involving hybrid retrieval, metadata filtering, re-ranking, query rewriting, embeddings, vector databases, and retrieval evaluation
- Build NLP solutions for text classification, named entity recognition, information extraction, semantic search, and document summarization
- Develop computer vision solutions for classification, object detection, segmentation, OCR, and visual defect inspection
- Fine-tune LLMs, embedding models, and vision models using LoRA, QLoRA, PEFT, and Hugging Face frameworks