Primary Title (standardized for job platforms): Python Developer - Agentic AI
A fast-growing player in the Enterprise AI and Intelligent Automation sector building agentic systems and production-grade LLM-driven services for business workflows, real-time assistants, and decision automation. We design secure, observable, and scalable agentic AI solutions that integrate models, external tools, and data pipelines to deliver measurable operational impact.
Location: India (On-site)
Role & Responsibilities
- Design, implement, and maintain Python services that power agentic workflows and tool-using LLM agents for production use.
- Integrate LLMs and agent frameworks (prompting, tool orchestration, state management) with backend APIs and data stores.
- Build and optimize inference pipelines, including vector search, caching, batching, and low-latency retrieval.
- Containerize applications and define CI/CD pipelines to automate testing, deployment, and rollbacks.
- Collaborate with ML researchers and product teams to translate prototypes into reliable, monitored services with SLAs.
- Implement observability (metrics, logs, tracing) and performance tuning to maintain uptime and predictable latency.
Skills & Qualifications
Must-Have
- Python
- LangChain
- Agentic AI
- LLM prompt engineering
- RESTful APIs
- Docker
- Git
- PyTorch
Preferred
- Hugging Face Transformers
- Kubernetes
- FAISS
Benefits & Culture Highlights
- Hands-on ownership of agentic AI features with rapid product iterations and measurable impact.
- Collaborative engineering culture emphasizing code quality, automation, and scalable architecture.
- On-site role with opportunities to work closely with ML scientists and product teams in India.
Skills: restful apis,git,python,docker,pytorch,agents
