Saarthee Actionable Insights About Saarthee : Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions.

Our diverse and global team work with one objective in mind : Our Customers Success.

At Saarthee, we are passionate about guiding organizations to wards insights fueled success.

Thats why we call ourselves Saartheeinspired by the Sanskrit word Saarthi, which means charioteer, trusted guide, or companion.

Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting.

Saarthee is based out of Philadelphia, USA with office in UK and India.

Position : GenAI Engineer (Python, Go, Cloud & Kubernetes)

Location : Bangalore

Work Mode : Hybrid

Min-Max Experience : 3 to 6 years

Position Summary :

We are looking for a mid-level GenAI Engineer to build and operate LLM-powered applications and AI agents on cloud-native platforms.

This role focuses on hands-on development using Python and Go, working with modern LLMs, and deploying AI services on AWS and Kubernetes.

You will collaborate with senior engineers while taking ownership of well-defined components across GenAI, RAG, and cloud infrastructure.

Your Role Responsibilities and Duties :

- Develop LLM-powered applications and AI agents using Python and Go.

- Work with LLM APIs (OpenAI/Azure OpenAI, Anthropic, Google, Meta).

- Build and maintain RAG pipelines using vector databases and embeddings.

- Contribute to agent workflows using frameworks like LangChain, LangGraph, AutoGen, or CrewAI.

- Deploy and operate AI services on AWS and Kubernetes.

- Assist with LLMOps/MLOps activities including evaluation, monitoring, and CI/CD.

- Use coding assistants and IDE integrations to improve development efficiency.

- Troubleshoot issues across AI services, cloud infrastructure, and Kubernetes.

Required Skills and Qualifications :

- 3 to 6 years of software engineering experience, with hands-on work in GenAI or ML-based systems.

- Strong proficiency in Python and Go (mandatory).

- Experience working with LLM APIs and prompt-based workflows.

- Practical understanding of RAG, embeddings, and vector databases.

- Familiarity with agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar).

- Experience deploying services on AWS.

- Working knowledge of Kubernetes and containerized workloads.

- Solid debugging, problem-solving, and communication skills.

Nice to Have :

- Exposure to LLMOps tools like LangSmith or LangFlow.

- Experience with DevEx tooling or internal platforms.

- Understanding of observability, monitoring, and cost optimization.

- Interest in autonomous agents and AI-assisted development workflows.

What we Offer :
- Opportunity to work in large-scale enterprise IAM environments
- Exposure to hybrid identity and cloud security architectures
- Hands-on experience with automation and modern identity platforms
- Collaborative and professional engineering culture
- Competitive compensation aligned with market standards