AI Researcher

This role is for one of the Weekday's clients

Salary range: Rs 800000 - Rs 1500000 (ie INR 8-15 LPA)

Min Experience: 2 years

Location: Pune, Mumbai, Rajasthan, GUJRAT, Ahmedabad

JobType: full-time

What You’ll Do

• Explore Emerging AI Models: Continuously assess cutting-edge LLMs and multimodal systems—including next-gen interaction models like voice interfaces, agentic UIs, and adaptive experiences—across platforms such as OpenAI, Anthropic, Mistral, DeepSeek, and Meta.
• Build Rapid Prototypes: Develop high-fidelity proof-of-concepts using modern agent frameworks and architectures (LangGraph/LangChain-style workflows, retrieval pipelines, structured output, tool orchestration, etc.).
• Design + Run Experiments: Create and execute experiments to evaluate agent behaviors, fine-tuning strategies, memory models, and new interaction patterns.
• Partner with Engineering Teams: Work closely with AI Engineers to convert research prototypes into scalable, production-ready systems.
• Benchmark Models: Create evaluation setups to measure model accuracy, latency, cost, hallucination behavior, and reliability.
• Stay Ahead of AI Evolution: Track advancements in model architecture, inference optimization, adapters, multimodal I/O, and emerging research.
• Document & Present Findings: Publish internal research summaries, share insights, and recommend future platform or product improvements.

You Might Be a Strong Fit If You Have

• 2+ years of hands-on AI/ML research or engineering experience (industry or academic).
• Deep understanding of LLM architecture—transformers, attention, fine-tuning, LoRA/QLoRA, inference scaling, etc.
• Proficiency in Python and at least one ML framework (PyTorch, JAX, Hugging Face, etc.).
• Experience building or fine-tuning retrieval-augmented pipelines, agent systems, or tool-using models.
• Familiarity with cloud compute, GPUs, vector databases, and model deployment stacks.
• Ability to prototype quickly—turning research concepts into working demos in days, not months.
• Strong communication skills—able to translate complex research into actionable insights for product, design, and engineering teams.

Nice to Have

• Experience with LangGraph, LangChain, DSPy, or similar orchestration tools.
• Background in multimodal AI (vision, speech, video, ASR/TTS).
• Knowledge of evaluation, red teaming, safety, or alignment techniques.
• Contributions to open-source LLM projects or published research papers.
• Experience in enterprise AI, governance, compliance-aware systems, or safety-based architectures.