Role Overview :

Senior AI Engineer role focused on building production-grade LLM and agentic systems. The position involves designing orchestration, evaluation, and reliable structured-output workflows for AI applications. The role also includes working with self-hosted inference, retrieval systems, and observability for agent behavior.

It is a full-time, remote role with Bangalore preference and office hours aligned to standard business timings.

Must-have skills :

- LLM systems
- Production Deployment
- Agent Orchestration
- LangGraph
- Python
- Golang
- TypeScript
- Evals
- Structured Output
- Schema Validation
- Reliable Model Behavior

Key Responsibilities :

- Design and implement scalable AI/ML pipelines to automate decision-making processes, ensuring high performance and reliability for our end-users.
- Collaborate with product stakeholders to define technical requirements,



ensuring that AI initiatives align with broader business objectives and deliver measurable value.
- Optimize existing models for latency and accuracy, directly impacting the responsiveness and intelligence of our platform features.
- Mentor junior engineers through code reviews and architectural discussions to foster a culture of technical excellence and continuous learning within the team.
- Bridge the gap between research and production by deploying experimental models into live environments, enabling rapid iteration and feature deployment.

Valuable-to-have skills :

- Temporal
- Cadence
- Step Functions
- vLLM
- TGI
- Quantization
- GPU Scheduling
- Retrieval Systems
- OCR
- Layout Parsing
- PDF Extraction
- Audit Trails
- Compliance Reporting

📌 Senior AI Engineer - LLM/Agentic Systems (India)
🏢 Career Click
📍 India