AI Researcher

13 hours ago

Ahmedabad, Gujarat, India Weekday AI Full time ₹ 8,00,000 - ₹ 15,00,000 per year

This role is for one of the Weekday's clients

Salary range: Rs Rs ie INR 8-15 LPA)

Min Experience: 2 years

Location: Pune, Mumbai, Rajasthan, GUJRAT, Ahmedabad

JobType: full-time

Requirements

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.

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