We're hiring a Software Engineer to build the infrastructure that powers our AI agents and ML systems end-to-end — from fine-tuning foundation models to shipping production-grade agent harnesses.

Role: Senior AI Engineer

Location: India (Onsite)

Experience:

6+ years of experience in Python development, including building and supporting production systems
Hands-on experience working with agent-based or agentic systems
Exposure to designing or contributing to MLOps pipelines
Practical experience in fine-tuning large language models
Experience deploying containerized applications on Kubernetes
Familiarity with at least one major cloud platform (AWS, GCP, or Azure)

Key Skills:

Python
Kubeflow
MLflow
Argo
Airflow
Kubernetes
LangGraph
CrewAI
AutoGen
LlamaIndex
SOLID principles
secure coding
static analysis
code reviews
CI/CD

Qualification:

Bachelor’s or Master’s degree in Engineering

Role Focus:

Design and build agent harnesses in Python
Develop and maintain a robust MLOps framework
Fine-tune foundation LLMs using techniques such as LoRA/QLoRA, SFT, and RLHF
Deploy and operate services on Kubernetes
Build and integrate AI agents using modern agent frameworks
Apply software engineering rigor across all deliverables
Collaborate with researchers, ML engineers, and product teams

Nice to have:

Exposure to distributed training approaches
Familiarity with vector databases, retrieval-augmented generation (RAG) systems, and evaluation frameworks for language models
Experience working with model serving solutions

Senior AI Engineer

Skills Required

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Experience:

Key Skills:

Qualification:

Role Focus:

Nice to have:

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