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This position was posted on March 24, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!
Job Overview
Location
India
Job Type
Full-time
Category
Software Engineering
Date Posted
March 24, 2026
Full Job Description
đź“‹ 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
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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