Job Specifications
Must have skills:
Python
LLMs / Generative AI
RAG architecture
AI Agents / Agentic systems
MLOps / LLMOps
PyTorch or TensorFlow
Cloud (AWS or Azure)
Databricks or Spark
Position: AI Engineer
Technology
Our technology team works fast and smartly. With San Francisco as our home, we take bringing new tech to market seriously, developing the latest technologies, scalable architecture, and the coolest in-store client experience. We love what we do, and we have fun doing it. The Technology group is comprised of motivated self-starters and true team players that are integral to the growth
Some exciting initiatives in action:
Generative AI use cases to help our customers discover products by developing AI agents
Building RAG based knowledge bases for AI agents
Adopting reinforcement learning for hyper personalization
Model Context Protocol (MCP) Enablement to accelerate AI adoption
You will operationalize innovative AI/ML solutions and work alongside other team members like Product Manager, Enterprise Architect, ML Engineers, Data scientists to architect, design, build and productionalize AI/ML models. You will be also responsible for integrating AI/ML solutions into operational products. This hands-on technical role demands excellent AI/ML engineering, ML Ops/LLM Ops knowledge, Agentic Coding experience and can demonstrate best practices in the industry. This role is ideal for someone looking to extend their LLM, Data Science, machine learning and software engineering skills and create impact by delivering AI/ML capabilities at scale.
Responsibilities
Responsible for developing AI/ML solutions using agentic coding tools like Claude Code, GitHub co-pilot
Build, maintain scalable systems using established design patterns, leads security-first practices, and maintains deep domain expertise while anticipating future technical needs and costs
Implement end-to-end solutions for batch and real-time algorithms along with tooling around monitoring, logging, automated testing, performance testing and A/B testing
Reviews tasks with clear breakdown and dependency management, proactively identify and communicates blockers or delays, handles uncertainty and high-pressure situations with decisiveness, and applies cost-efficiency (token costs) principles to optimize value delivery.
Collaborate with Product, Engineering, Data Scientists, ML Engineers on building new capabilities
Write efficient and well-organized software to ship products in an iterative, continual-release environment
Code review to ensure it meets best practice specifications and drive quality assurance through systematic testing frameworks and debugging
Excellent communication skills, with the ability to explain complex technical concepts to technical and non-technical audiences
We are excited about you if you have:
5+ years of experience developing and deploying data science, machine learning systems into production
5+ years of experience in Software Engineering, with a preference for expertise in Python
Experience working with AI Agentic systems, LLMs, and RAG architecture
Experience working with MCP (Model Context Protocol)
Experience using open source LLMs and LLMOPs
Experience working with a variety of relational SQL and NoSQL databases
Experience working with: Spark, Kafka, Scala, Python, etc.
Knowledge of cloud platforms, for example:
Experience with Azure, AWS or equivalent cloud platforms
Microsoft Azure: Experience designing, deploying, and administering scalable, available, and fault tolerant systems on Microsoft Azure
Hands-on Experience working with Databricks
Experience with deep learning frameworks such as PyTorch, TensorFlow or similar
Experience with object-oriented/object function scripting languages Python, Java
Industry experiences building and productionizing creative end-to-end Machine Learning systems
Experience working with distributed systems, service-oriented architectures, and designing APIs
Knowledge of data pipeline and workflow management tools
Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
About the Company
Intelliswift, an LTTS company, is a global leader in Digital Product Engineering, Data & AI, and Digital Enterprise Solutions. We empower businesses to leverage cutting-edge technologies and pioneering strategies throughout their digital transformation journey. Our expertise in data-rich modern platforms and people-centric solutions ensures that companies can navigate and thrive in the digital era. We address critical pain points across a diverse range of industries, including Platform & Technology, Fintech, MedTech, Energy ...
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