Data Scientist Agentic Developer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Req number:
R7125Employment type:
Full timeWorksite flexibility:
HybridWho we are
CAI is a global services firm with over 9000 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 rightwhatever 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
As the Data Scientist - Agentic Developer you will be responsible for designing developing and deploying state-of-the-art agentic systems automation solutions and generative AI applications to enable autonomous decision-making and optimize business processes.Job Description
We are looking for a Data Scientist - Agentic Developer to design cutting-edge AI solutions and autonomous systems focused on agentic workflows and generative AI technologies. This position will be full-time hybrid and based in Bangalore.
What Youll Do
Agentic AI & Automation
- Design develop and deploy multi-agent systems and agentic applications using frameworks like AutoGen LangGraph CrewAI or similar
- Build intelligent workflow orchestration systems that enable autonomous decision-making and task execution
- Implement Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for seamless agent collaboration
- Develop automation solutions using OpenAPI standards for integration with enterprise systems
- Create self-healing adaptive workflows that optimize business processes autonomously
Generative AI & LLM Solutions
- Use ML deep learning and Generative AI tools to design evangelize and implement state-of-the-art solutions
- Define and implement best practices for building testing and deploying scalable AI solutions with a focus on generative models and LLMs using proprietary or open-source models
- Drive successful business outcomes by designing and building cloud-hosted Generative AI solutions
Technical Implementation
- Work closely with internal teams to integrate RAG workflows agent-based systems and automation frameworks into applications
- Design and implement architectural solutions for Information Retrieval using RAG Vector DBs and Knowledge Graphs
- Work with public cloud (AWS) and on-premises infrastructure for deploying LLMs agents and orchestration systems
- Evaluate build and fine-tune ML models and LLMs to solve complex business problems
- Stay abreast of latest developments in agentic AI autonomous systems language models and generative AI technologies.
What Youll Need
Required:
Education & Experience
- BE Masters or Ph.D. in Computer Science Artificial Intelligence Machine Learning or equivalent practical experience
- 8 years of overall technical experience with 2-3 years of hands-on experience in Generative AI and LLM technologies
- 1 years of experience building agentic systems workflow automation or autonomous AI applications
Agentic AI & Workflow Expertise
- Deep hands-on experience with agentic frameworks (AutoGen LangGraph CrewAI Agency Swarm or similar)
- Strong knowledge of workflow orchestration tools and patterns (Temporal Airflow Prefect or similar)
- Expertise in OpenAPI standards Agent-to-Agent (A2A) protocols and Model Context Protocol (MCP)
- Experience designing multi-agent architectures with memory planning and tool-use capabilities
- Knowledge of agent evaluation testing frameworks and observability patterns
LLM & Generative AI
- Proven track record of deploying and optimizing LLM models for inference in production environments
- Extensive experience with LLM orchestration frameworks (LangChain LlamaIndex required)
- Hands-on experience with Amazon Bedrock SageMaker JumpStart and other cloud-based LLM platforms
- Expertise in RAG architectures Fine-tuning techniques and Prompt Engineering
- Deep understanding of Vector Databases (Pinecone Weaviate Milvus ChromaDB) and Knowledge Graphs
ML/DL Foundations
- Expert in NLP techniques and deep learning libraries (Transformer models LSTM BiLSTM CNN BERT GPT T5)
- Proficiency with ML frameworks: TensorFlow PyTorch Hugging Face Transformers scikit-learn
- Strong programming skills in Python (required) plus JavaScript/TypeScript or
- Deep understanding of data structures algorithms and system design patterns
MLOps/LLMOps
- Hands-on experience in MLOps/LLMOps including data pipelines model training/refinement validation drift management and serving
- Experience with containerization (Docker Kubernetes) and CI/CD pipelines for ML systems
- Knowledge of monitoring logging and observability tools for production AI systems.
Preferred:
- Experience with function calling tool use and external API integration in agent systems
- Knowledge of reinforcement learning and agent training methodologies
- Familiarity with semantic reasoning planning algorithms (ReAct Chain-of-Thought Tree-of-Thoughts)
- Experience with graph databases (Neo4j Neptune) and ontology design
- Contributions to open-source AI/ML projects
- Publications or patents in AI/ML domain.
Physical Demands
- Ability to safely and successfully perform the essential job functions
- Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings etc
- Ability to conduct repetitive tasks on a computer utilizing a mouse keyboard and monitor
Reasonable accommodation statement
If you require a reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employment selection process please direct your inquiries to or (888).
Required Experience:
Unclear Seniority
Key Skills
About Company
CAI helps organizations leverage technology, people, and processes to solve business problems, enable savings, and spur innovation.
