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.

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.

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.

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.

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!

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.

Are you ambitious AND hard working? We reward that here, promoting top performers to elevated positions quickly, at a faster rate than industry standards.

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 R&D 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.

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.

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.

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.

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.

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.

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.

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.

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.

Programming: Proficiency in Python; familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face.

NLP/Conversational AI: Experience with libraries such as spaCy, Rasa, or NLTK, and an understanding of dialog systems.

RAG & Vector Databases: Hands-on experience designing retrieval-augmented architectures and working with vector stores (Pinecone, Weaviate, Chroma).

LangChain: Knowledge of orchestrating multi-step AI workflows, prompt engineering, and advanced conversation management.

Comfort with data engineering tasks—managing and preprocessing large text corpora or domain-specific datasets.

Familiarity with containerization (Docker) and Kubernetes-based deployments on AWS, GCP, or Azure.

Experience implementing CI/CD pipelines and using infrastructure-as-code (Terraform, CloudFormation) is a plus.

Awareness of PhiData or similar data governance/privacy solutions, and compliance requirements (GDPR, HIPAA, etc.) relevant to enterprise AI.

Understanding of secure coding and data handling practices.

Innovation-Driven: Thrives on exploring novel techniques and pushing the boundaries of what AI can achieve for specific industry verticals.

Agile Mindset: Comfortable with short iteration cycles, rapid prototyping, and a minimal-bureaucracy culture.

Collaboration & Communication: Excellent at sharing ideas with both technical and non-technical stakeholders, and open to feedback and knowledge sharing.

Familiarity with Cursor AI or similar rapid development tools.

Remote-First Experience: Comfortable with distributed teams, asynchronous communication, and remote collaboration.

Strong Communication: Excellent verbal and written communication in English.

Critical Thinking & Creativity: Demonstrated ability to tackle problems from multiple angles and propose innovative solutions.

Proficiency with Node.js: Experience in backend JavaScript/TypeScript development is a plus.

Knowledge of PHP: Exposure to or hands-on experience with PHP frameworks is also a plus.

Full-Scale Web Applications: Prior exposure to building or integrating large-scale web platforms and familiarity with modern web technologies.

This will be a remote role.

- Competitive Pay: Above-market compensation for exceptional talent.

- Rapid Pay Increases for top performers: For exceptional performance, we are willing to double your compensation within 1 year.

- Health Benefits: Reimbursement for health insurance premiums.

- Performance Bonuses: Significant rewards for exceptional contributions.

- Upskilling Budget: Support for online professional development.

- Flexible Work Environment: Remote-first flexibility with in-office collaboration when needed.

- AI software licenses for faster development.

- Food Delivery Reimbursement: Late night Swiggy/Zomato reimbursement of 2,000 INR per month.

- Gym Reimbursement: Gym reimbursement of 4,000 INR per month.

- Tech Setup: Budget for tech set up provided after 6 months of employment.

- US HQ Opportunities: Top performers may have the opportunity to explore international roles within our US-based headquarters, including potential emigration opportunities, subject to availability and company needs, and after at least 2 years of employment.

12-25 LPA