Agentic GenAI Engineer (Anthropic)

Experience : 8- 9 years

Work Mode : Hybrid

Employment Type : Full-time / Contract

Primary Stack : Python, GCP, Google ADK, Anthropic, LangChain

Role Summary :

We are seeking an experienced Agentic GenAI Engineer to join AI Center of Excellence (AICOE) and drive the design, development, and deployment of advanced AI-powered agentic systems. This role focuses on building intelligent automation solutions leveraging Anthropic models, Google ADK, and modern GenAI frameworks on Google Cloud Platform (GCP).

The ideal candidate will play a key role in translating business requirements into scalable AI solutions, developing multi-agent workflows, and optimizing LLM-based applications for enterprise use cases.

Required Technical Skills :

Programming Languages :

- Strong proficiency in Python for AI/ML and backend development

Cloud Technologies :

- Hands-on experience with Google Cloud Platform (GCP) services such as :

1. Vertex AI

2. Cloud Functions / Cloud Run

3. BigQuery / Cloud Storage

4. IAM & security best practices

GenAI / Agentic Frameworks :

- Experience working with Anthropic (Claude models) APIs

- Practical experience in building agentic workflows using Google ADK

- Strong understanding of LLM orchestration, prompt engineering, and multi-agent architectures

- Working knowledge of LangChain for building LLM-powered pipelines and applications

Databases / Vector Stores :

- Hands-on experience with at least one :

1. Vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma)

2. Traditional databases (SQL/NoSQL)

- Experience implementing RAG (Retrieval Augmented Generation) pipelines

Core AI/ML Skills :

- LLM fine-tuning / prompt optimization strategies

- Evaluation and monitoring of GenAI applications

- API integration and microservices architecture

Required Experience :

- 8- 9 years of overall experience in software engineering, AI/ML, or related domains

- At least 3+ years of hands-on experience in GenAI / LLM-based application development

- Proven experience building and deploying production-grade AI systems on GCP

- Demonstrated expertise in designing agentic workflows and autonomous AI systems

- Strong problem-solving, stakeholder communication, and solution design capabilities