Reed And Willow
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Pune · On-site · 7-10 Yrs · 19 hours ago
HR Consulting · 1 to 50 Employees · Pune, India
Reed & Willow, a pioneering Talent Solutions company in India, redefines recruitment norms. Our core: revolutionizing talent acquisition by blending design thinking with technology. Passion drives us, but encountering limited approaches in hiring disappoints. In today's business landscape, the battle isn't for money; it's for the right talent. We excel as strategic recruitment partners, using data-driven, unconventional methods to save time and costs. Our approach merges best practices, tech, and human touch, rejecting cookie-cutter strategies. Our mission? Identify, retain, and nurture talent for organizational transformation. That's Reed & Willow.
Hiring: Engineering
What employees say
+ - Friendly and open culture - Nice office - Good opportunities to learn
− - No cons other than the typical consulting environment. - If you're lazy, you'll be asked questions. (which is obvious)
More reviews on the company profile.
Interview experience · Advisory Senior Consultant
Fast process. And it was virtual interview . 3 rounds. One is with the CeO Janoo. Where a lot on technical part was not discussed but on other aspirantions. Interview went for 30 min max, where I felt it could have been
Average difficulty · Pune · 3 reports
More interview insightsJob description
Overview
Key Responsibilities Develop and fine-tune Generative AI models including GPT, LLaMA, Claude, and Stable Diffusion for text, image, audio, and video generation.
Responsibilities
- Develop and fine-tune Generative AI models including GPT, LLaMA, Claude, and Stable
- Design and build end-to-end Generative AI pipelines covering data collection, preprocessing, model training, evaluation, and deployment.
- Integrate Large Language Models (LLMs) and multimodal AI models into production systems using LangChain, LlamaIndex, OpenAI APIs, or similar frameworks.
- Design and implement Retrieval-Augmented Generation (RAG) solutions for enterprise use cases.
- Collaborate with Data Science, Product, and Engineering teams to build AI-driven applications.
- Optimize model inference, response latency, scalability, and cost efficiency for production deployments.
- Support deployment and operationalization of enterprise AI solutions while following MLOps best practices.
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
- 7+ years of experience in Machine Learning/Deep Learning Engineering with at least 5+ years of experience in Generative AI applications.
- Strong proficiency in Python programming.
- Hands-on experience with Machine Learning frameworks such as PyTorch or TensorFlow.
- Strong experience with Large Language Models (LLMs) including OpenAI, Anthropic, Mistral, and LLaMA.
- Strong understanding of Prompt Engineering techniques.
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud Platform (GCP).
- Knowledge of MLOps best practices.
- Strong analytical, research, debugging, and problem-solving skills.
- Exposure to multimodal AI systems combining text, vision, and speech.
- Knowledge of API development, Docker, Kubernetes, and CI/CD pipelines.
- Contributions to open-source AI projects or research publications in NLP or Generative AI.
- Other Requirements
- Excellent communication and interpersonal skills.
- Self-motivated and capable of working collaboratively within distributed teams.
- Ability to coordinate effectively with onsite and offshore teams.
- Strong problem-solving mindset with a proactive approach toward technical challenges. .
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Job application FAQ
Last updated 10 October 2026
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- This is a senior Senior Generative AI Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.