Description:

Wing is hiring elite talent for M32 Labs, an innovative venture-backed company based in Silicon Valley dedicated to building cutting-edge AI-powered products for business clients worldwide.
M32 is focused on creating world-class AI solutions that redefine industries.
The company operates with zero bureaucracy and maximum impact, expecting engineers to go above and beyond.
Engineers will have autonomy and creativity, making both technical and product decisions while leading entire product builds.
Exceptional performance will be rewarded with significant compensation increases and rapid career growth.
Employees will work in small, elite teams of 1-3 engineers to build full products from scratch, with a fast-paced, hackathon-like environment.
The role involves driving innovation in building domain-specific AI agents for a next-generation product suite.
Responsibilities include designing and refining NLP models, integrating speech recognition and text-to-speech capabilities, architecting retrieval-augmented generation pipelines, and utilizing vector databases for semantic search.
The position requires collaboration with cross-functional teams and documentation of best practices in NLP and AI model deployment.

Requirements:

A Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent practical experience is required.
A proven track record of at least 2 years in NLP, conversational AI, or machine learning roles, ideally with hands-on deployment experience.
Proficiency in Python and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face is essential.
Experience with NLP libraries such as spaCy, Rasa, or NLTK, and an understanding of dialog systems is necessary.
Hands-on experience designing retrieval-augmented architectures and working with vector stores like Pinecone, Weaviate, or Chroma is required.
Knowledge of orchestrating multi-step AI workflows using LangChain or similar frameworks is preferred.
Comfort with data engineering tasks and familiarity with containerization (Docker) and Kubernetes-based deployments on cloud platforms (AWS, GCP, Azure) is needed.
Awareness of data governance/privacy solutions like PhiData and compliance requirements relevant to enterprise AI is important.
Strong soft skills including innovation-driven mindset, agile mindset, and excellent collaboration and communication abilities are essential.

Competitive pay that is above-market for exceptional talent.
Rapid pay increases for top performers, with the potential to double compensation within one year.
Health benefits including reimbursement for health insurance premiums.
Performance bonuses for exceptional contributions.
An upskilling budget to support online professional development.
A flexible work environment with remote-first flexibility and in-office collaboration when needed.
AI software licenses provided for faster development.
Food delivery reimbursement of 2,000 INR per month for late-night meals.
Gym reimbursement of 4,000 INR per month.
A budget for tech setup provided after 6 months of employment.
Opportunities for top performers to explore international roles within the US-based headquarters after at least 2 years of employment.