AI or ML Engineer

103; San Francisco (CA); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Opportunity for advancement

Training & development

Job summary

103 is seeking an experienced AI/ML Software Engineer to collaborate with Sr. engineers on cutting-edge model architectures and autonomous system design. You will prototype algorithms, benchmark models, and translate research into production-ready solutions in a fast-paced environment.

The role requires deep knowledge of Python, PyTorch, and cloud AI services, with strong collaboration skills and a focus on ethical AI, scalable training, and enterprise deployment.

Qualifications

• 5+ years of experience in software development.
• 2+ years delivering AI/ML solutions.
• Extensive experience implementing generative AI solutions using OpenAI compatible APIs.
• Experience with Cloud-based AI and data services like Python, Databricks, RAG, Agentic, AI Foundry, LangFuse.

Responsibilities

• Work with Sr. AI/ML engineers and Lead to experiment with new model architectures.
• Stay up to date with cutting-edge AI models incl. deep learning, RL, and generative architectures.
• Design autonomous systems that can reason, plan, and interact with complex environments.
• Prototype and refine novel algorithms to improve model performance and scalability.
• Collaborate with cross-functional teams to translate theory into enterprise apps.
• Conduct experiments and benchmarking to evaluate model efficacy and robustness.
• Publish findings and contribute to open-source initiatives.
• Ensure ethical AI by fairness, transparency, and accountability in design.
• Optimize training pipelines and infrastructure for large-scale deployment.
• Partner with data engineering and product teams to integrate AI into production.
• Comply with employment contract terms and company policies.

Skills

Python for AI

AI/ML delivery

Software development

Communication with stakeholders

Research & experimentation

Ethical AI awareness

Education

Bachelor's or Master's in CS/Engineering

Tools

PyTorch

TensorFlow

Scikit-Learn

Databricks

Azure OpenAI

OpenAI APIs

React

Angular

Java

.NET

GitHub

M365 Copilot

LangFuse

OCR

Vector databases

Job description

Benefits:

• Health insurance
• Opportunity for advancement
• Training & development

Primary Responsibilities

• Work with Sr. AI/ML engineers and Leadfor Experiments with novel model architectures or algorithms
• Up to date with cutting-edge AI models, including deep learning, reinforcement learning, and generative architecture
• Advance agentic capabilities by designing autonomous systems that can reason, plan, and interact with complex environments
• Prototype and refine novel algorithms to improve model performance, scalability, and interpretability
• Collaborate with cross-functional teams to translate theoretical advancements into practical enterprise applications
• Conduct rigorous experimentation and benchmarking to evaluate model efficacy and robustness
• Publish findings, contribute to open-source initiatives, and stay abreast of emerging trends in AI research
• Ensure ethical AI development by incorporating fairness, transparency, and accountability into model design
• Optimize training pipelines and infrastructure for large-scale model deployment and continuous learning
• Partner with data engineering and product teams to integrate AI solutions into production systems
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications

• Bachelor's or master's degree in computer science, Engineering, or a related field
• 5+ years of experience in software development
• 2+ years of experience delivering solutions with a focus on AI/ML
• Extensive experience implementing generative AI solutions using OpenAI compatible APIs
• Experience with Cloud-based AI and data services like Python, Databricks, RAG, Agentic, AI Foundary, LangFuse
• Experience in GitHub & M365 Copilot, Deep learning frameworks such as PyTorch, TensorFlow, Scikit Learn
• Experience with frontend development using React or Angular, and backend services using Java or .NET
• Experience in collaborating and working with Sr. AI/ML engineers and Lead to develop new machine learning models from scratch or improvising it
• Solid understanding of RAG architecture including knowledge of vector databases and semantic search
• Advanced proficiency in Python for AI/ML and automation
• Proven expertise in Azure Document Intelligence, OCR, and Databricks
• Proven enterprise search, NLP, Speech AI, Vision AI, Supervised & unsupervised ML
• Proven ability to lead the design and implementation of intelligent applications using Azure OpenAI, LLM Gateway, and Retrieval-Augmented Generation (RAG) techniques
• Proven drive end-to-end delivery of AI-powered solutions across cross-functional teams
• Proven excellent communication and stakeholder management skills

Preferred Qualifications

• Experience with prompt engineering and fine-tuning LLMs
• Experience working in agile development environments
• Knowledge of Agentic AI concepts & Implementation