Full-Time

AI Engineer

Updated on 9/4/2026

Particle41

Particle41

51-200 employees

Provides expert application, DevOps, ML teams

No salary listed

Remote in India

Remote

Bachelor's, Master's

Category
AI & Machine Learning (1)
Required Skills
LLM
Scikit-learn
MLOps
Pinecone
Python
Regression
TensorFlow
Neural Networks
Data Structures & Algorithms
PyTorch
Machine Learning
MLflow
Data Engineering
RAG
Microservices
LangGraph
REST APIs
LangChain
Computer Vision

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Requirements
  • A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • At least 3 years of hands-on experience in artificial intelligence and machine-learning model development and deployment.
  • Strong programming skills in Python and experience with TensorFlow, PyTorch, scikit-learn, LangChain, and LangGraph.
  • Experience with vector databases such as Pinecone or FAISS, retrieval-augmented generation, and agentic workflows.
  • Experience building or fine-tuning large language models.
  • Experience deploying models into production, including building REST APIs, microservices, and monitoring systems.
  • Familiarity with text-to-speech and speech-to-text models or solutions such as Deepgram, ElevenLabs, and Cartesia.
  • Experience in computer vision, time-series modeling using ARIMA or Prophet, or multimodal artificial intelligence.
  • Familiarity with MLOps tools and frameworks such as MLflow, Kubeflow, or SageMaker.
  • Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals, including classification, regression, clustering, deep learning, and sequence models.
  • Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
Responsibilities
  • Lead the end-to-end development of artificial-intelligence and machine-learning models, from data ingestion and preprocessing through model training, evaluation, deployment, and monitoring.
  • Build generative-artificial-intelligence solutions, including retrieval-augmented generation, agentic workflows, MCP servers, conversation AI agents, and related systems aligned with business goals.
  • Work with data-engineering teams to build and maintain data pipelines, feature stores, and orchestration frameworks.
  • Develop and integrate artificial-intelligence models into production systems, including APIs, microservices, and cloud deployments.
  • Optimize models and solutions for performance, scalability, robustness, and cost efficiency.
  • Monitor model and solution performance in production, including drift, bias, fairness, and reliability, and implement remediation.
  • Document model design, experiments, data provenance, and solution rationale.
  • Stay current with artificial-intelligence and machine-learning research, frameworks, and tools, and propose innovative ideas.
  • Work directly with clients to understand problem statements, translate business requirements into artificial-intelligence solutions, and communicate results clearly.
Desired Qualifications
  • Publications, open-source contributions, or personal projects in the artificial-intelligence and machine-learning domain.

Particle41 builds expert teams in application development, DevOps, and machine learning to strengthen a client’s capabilities. They assemble cross-functional teams that integrate into a client’s projects, guiding work with velocity, visibility, and vision to accelerate delivery. They differentiate themselves by providing specialized, high-caliber teams tailored to client needs and emphasizing clear communication and ongoing capability building rather than generic consulting. The goal is to amplify a client’s business by delivering dependable, expert teams that quickly advance critical development, operations, and ML initiatives.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Frisco, Texas

Founded

2015

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Simplify Jobs

Simplify's Take

What believers are saying

  • Particle41's site updated 2026-09-06 with active hiring across the US, India, and LATAM.
  • Its 2026-03-23 security guidance positions it for regulated AI-development projects.
  • Recent case studies highlight reliability wins, patent work, and cloud-native modernization.

What critics are saying

  • Uplers showed 10 openings on 2026-08-20, signaling churn and delivery pressure.
  • Scoutify recorded 15 roles and only three postings in 30 days on 2026-08-27.
  • AI-assisted software commoditizes Particle41's staffing model; client insourcing will compress margins by 2027.

What makes Particle41 unique

  • Particle41 markets AI-augmented, deployable engineering teams on 2026-08-20.
  • It combines application development, DevOps, and data engineering under one vendor.
  • Case studies show takeover work on Podium Audio, Page Design, and High Traffic Event Management.

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Benefits

Health Insurance

401(k) Retirement Plan

Remote Work Options

Flexible Work Hours

Paid Vacation

Paid Holidays

Professional Development Budget

Conference Attendance Budget

Wellness Program

Mental Health Support

Gym Membership

Phone/Internet Stipend

Home Office Stipend

Family Planning Benefits

Fertility Treatment Support

Stock Options

Company Equity