AI/ML Engineer
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.
At M32, we're not just another tech company- we’re creating world-class AI solutions that redefine industries. If you’re looking for a challenging and high-impact engineering role, this is it.
What it'll be like working at M32:
Move fast and break things:
This is a company with 0 bureaucracy, and maximum impact. We are building world-class products, hiring a world-class team, and putting large resources behind the products you're building. We are looking for engineers who are willing to go above and beyond. Deadlines will be tight, expectations will be high. If you're looking for a standard 9-5 job, this is not the place for you.
Autonomy Creativity:
We value decision-makers and innovators. You’ll have the control to make both technical and product decisions, and our goal is to let you lead entire product builds.
Exponential Career Growth:
Exceptional performance will be rewarded far beyond normal. If you excel at M32, expect your compensation to double within a year and your role to grow rapidly.
Small, Elite Teams:
You’ll work in tight-knit teams of 1–3 exceptional engineers to build full products from scratch. Every week will feel like a hackathon!
High Impact:
Your work will directly influence thousands of users, with immediate deployment and feedback. You’ll never work on insignificant internal tools or tiny features. You will work directly with C-level executives.
Fast track to leadership.
Are you ambitious AND hard working? We reward that here, promoting top performers to elevated positions quickly, at a faster rate than industry standards.
Job Overview
We are seeking a Machine Learning / AI Engineer to drive innovation in building domain-specific AI agents for our next-generation product suite. As part of a fast-paced, agile RD environment, you will explore state-of-the-art methodologies—such as Retrieval Augmented Generation (RAG), LangChain-based pipelines, and PhiData—to create intelligent, context-aware solutions tailored to specific industry verticals. You’ll have the freedom to experiment rapidly, iterate on ideas, and play a key role in delivering groundbreaking AI experiences that address real-world business challenges.
Key Responsibilities :
AI Agent NLP Development
Design, build, and refine NLP models (intent recognition, entity extraction, dialogue management) for advanced conversational or task-focused AI agents.
Integrate speech recognition (STT) and text-to-speech (TTS) capabilities when needed, leveraging cloud APIs or open-source solutions.
Retrieval Augmented Generation (RAG)
Architect and implement pipelines that retrieve relevant context from knowledge bases or document stores, enhancing LLM outputs with accurate, domain-specific information.
Utilize vector databases (e.g., Pinecone, Weaviate, Chroma) to index content for semantic search and real-time retrieval.
LangChain Prompt Orchestration
Use LangChain or similar frameworks to organize multi-step AI workflows, combining prompts, data retrieval, and dynamic decision-making in a coherent pipeline.
Develop strategies for prompt engineering, error handling, and iterative refinement to improve user interactions and AI accuracy.
PhiData Data Governance
Integrate PhiData (or comparable tools) to ensure strong data governance, security, and privacy across all stages of model training and deployment.
Contribute to best practices for handling sensitive or proprietary data, adhering to compliance requirements in various industries.
Model Development Deployment
Train, fine-tune, and deploy LLMs or custom ML models using frameworks like PyTorch, TensorFlow, or Hugging Face Transformers.
Leverage containerization (Docker) and orchestration (Kubernetes) on cloud platforms (AWS, GCP, Azure) to ensure scalable, low-latency deployments.
Rapid Prototyping Iteration
Embrace a lightweight, iterative workflow to quickly develop proofs-of-concept, validate assumptions, and pivot based on user or stakeholder feedback.
Conduct ongoing experiments to benchmark performance, refine models, and stay ahead of emerging AI/ML trends.
Collaboration Communication
Work closely with cross-functional teams (backend, product, design) to integrate AI solutions seamlessly into our vertical-focused platforms.
Document and share best practices in NLP, retrieval methods, and AI model deployment across the organization.
Qualifications :
Education Experience
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field—or equivalent practical experience.
Proven track record (2+ years) in NLP, conversational AI, or machine learning roles, ideally with hands-on deployment experience.
Core Technical Skills :
Programming: Proficiency in Python