Weekday Technologies Inc. logo

Agentic AI Engineer

Job Overview

Location

India

Job Type

Full-time

Category

Software Engineering

Date Posted

March 24, 2026

Full Job Description

📋 Description

  • Design, develop, and deploy agentic AI systems using large language models (LLMs) and reinforcement learning (RL) techniques to enable autonomous decision-making in dynamic environments.
  • Collaborate with cross-functional teams including product, data, and ML engineers to integrate agentic capabilities into client platforms and applications.
  • Optimize model performance, latency, and scalability through efficient training pipelines, quantization, and hardware-aware deployment strategies.
  • Implement robust monitoring, logging, and feedback mechanisms to ensure system reliability, safety, and continuous improvement in production environments.
  • Stay current with cutting-edge research in agentic AI, including multi-agent systems, tool use, and emergent communication protocols.

🎯 Requirements

  • Proven experience in building LLM-based applications, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) systems.
  • Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Experience with cloud platforms (AWS, GCP, Azure) for deploying scalable AI services, including containerization and orchestration tools.

🏖️ Benefits

  • Competitive salary and performance-based bonuses aligned with industry standards.
  • Comprehensive health, dental, and vision plans for employees and dependents.
  • 401(k) retirement plan with company match and immediate vesting options.
  • Generous paid time off (PTO) and holiday schedule.
  • Professional development budget for conferences, certifications, and continuous learning opportunities.

Skills & Technologies

Data Science
Remote

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About Weekday Technologies Inc.

Weekday Technologies operates a hiring platform that connects tech companies with pre-vetted software engineers through community referrals. The product crowdsources candidate recommendations from existing engineering teams, verifies skills, and offers employers a searchable talent pool for contract and full-time roles. Founded in 2021 and headquartered in San Francisco, the company focuses on reducing time-to-hire for startups and scale-ups by leveraging trusted peer networks rather than traditional recruiting pipelines.

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