Applied AI / ML Systems Engineer

Job Title : AI / ML Engineer

Company : Peko

Work Mode : Hybrid

Employment Type : Full-time

About Peko

Peko is building intelligent, scalable, and secure technology solutions that empower small and medium businesses across India. We are expanding our AI capabilities to enhance product intelligence, automation, and data-driven decision making across our platform.

Role Overview

We are looking for a highly skilled AI / ML Engineer to design, build, and deploy advanced machine learning models, LLM-based systems, and end-to-end RAG pipelines.The ideal candidate will have strong hands-on experience with LangChain, LangGraph, LLM APIs, Python microservices, and MLOps workflows.

Key Responsibilities

• Develop, train, and deploy machine learning and AI models for real-world applications.
• Build end-to-end LLM and RAG pipelines using LangChain and LangGraph.
• Work with LLM APIs (OpenAI, Anthropic Claude, Gemini) and apply effective prompt engineering practices.
• Fine-tune and deploy models using Hugging Face Transformers .
• Implement agent monitoring, performance tracking, and logging.
• Apply AI security best practices, including prompt-injection prevention, data-privacy controls, and secure API key management.
• Design and maintain Python microservices using FastAPI .
• Work with MLOps tools (Docker, Kubernetes, CI / CD) for scalable deployment.
• Integrate with vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Work across SQL (PostgreSQL) and NoSQL (MongoDB) systems.
• Build automated testing workflows (pytest).

Required Qualifications

Ideal Candidate Profile

How to Apply

Interested candidates can send their resumes to hr@peko.one , or apply directly through this LinkedIn job post.