About ShellKode

ShellKode is a born-in-the-cloud company that specializes in Modernization, Security, Data, Generative AI, and AI/ML. Our industry specialized solutions and services help organizations realize tangible business value and drive transformative growth. Our offerings span Financial Services, Retail, Logistics, and Healthcare with over 80 specialized industry solutions across data and GenAI.

What is the role about?

We are seeking a passionate and skilled Senior GenAI Engineer to join our GenAI organization and contribute to ShellKode's next-generation AI initiatives. This role focuses on building scalable GenAI and Agentic AI solutions using AWS cloud-native services, RAG architectures, and enterprise-grade orchestration workflows. The ideal candidate will have hands-on experience with LLM-based development, agentic frameworks, and AWS Bedrock.

What you will do :

Design & Development :

- Design and develop advanced GenAI solutions including :

- Retrieval-Augmented Generation (RAG)

- Agentic AI workflows (single-agent and multi-agent systems)

- Tool-calling and agent-to-agent orchestration

- Text-to-SQL, IDP (Intelligent Document Processing)

- Summarization, text generation, and multimodal use cases

- Build scalable GenAI services using :

- Amazon Bedrock (mandatory)

- Amazon Bedrock Agentcore

- Strands, LangChain, LangGraph, AgentCore

- Hugging Face APIs

- AWS cloud services (Lambda, API Gateway, S3, DynamoDB, Step Functions, Amazon Open Search Service)

Engineering & Implementation :

- Develop backend services and pipelines using Python (FastAPI/Flask).

- Implement embeddings, retrieval pipelines, chunking strategies, and grounding logic.

- Optimize RAG workflows, tool-calling patterns, and agentic reasoning.

- Deploy solutions using AWS-native tooling (SageMaker optional but not required for fine-tuning).

Execution & Collaboration :

- Work closely with technical leads to execute assigned tasks and deliver project modules.

- Participate in requirement discussions, POCs, SOW execution, testing, and production rollout.

- Collaborate with cross-functional teams, including product owners, architects, and customer teams.

Quality, Performance & Innovation :

- Monitor and improve solution robustness, latency, accuracy, and scalability.

- Implement guardrails, enterprise safety practices, and hallucination mitigation patterns.

- Stay updated on emerging LLM models, Bedrock capabilities, agent frameworks, and industry best practices.