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.

Good-to-have skills :

- Temporal

- Cadence

- Step Functions

- vLLM

- TGI

- Quantization

- GPU Scheduling

- Retrieval Systems

- OCR

- Layout Parsing

- PDF Extraction

- Audit Trails

- Compliance Reporting