AI Engineer II India

· 2 years of relevant work experience and experience with generative AI and fine-tuning models

· Ability to design and document APIs, data models, service interactions

· Familiarity with and ability to explain:

o testing strategies – unit, integration, system

o system and API security techniques

o data privacy concerns

o microservices architecture

o vertical vs horizontal scaling

o Generative AI, NLP, DNN, LLMs, auto-encoders, etc.

Attributes for Success:

· Proactive, Independent, Adaptable

· Collaborative team player

· Customer service minded with an ownership mindset

· Excellent analytic and communication skills

· Ability and desire to coach and mentor new and more junior developers

· Innovative and problem-solving mindset

· Passionate, curious, open to new ideas, and ability to research and learn new technologies

· Hands-on AI/ML software engineer

· Work with product owners and curators to understand requirements and guide new features

· Collaborate to identify new feature impacts on existing services and teams

· Research, prototype, and select appropriate COTS and in-house AI/ML technology and design

· Collaborate with team to design, develop, and maintain supporting systems

· Document designs and implementation to ensure consistency and alignment with standards

· Create documentation including system and sequence diagrams · Create appropriate data pipelines for AI/ML

· Analyze, curate, cleanse, and split data

· Utilize and apply generative AI for products and for daily productivity

· Periodically explore new technologies and design patterns with proof-of-concept

· Participate in developing best practices and improving operational processes

· Present research and work to socialize and share knowledge across the organization

Environment, Tools & Technologies:

· Agile/Scrum

· Operating Systems – Mac, Linux

· Python, JavaScript, Node.js

· PyTorch, Tensorflow, Keras, LLMs (OpenAI GPT-X, Claude, embedding models)

· Vector indexing/database, LangChain, AutoGen, RAG, Agents

· APIs GraphQL, REST

· Docker, Kubernetes

· Amazon Web Services (AWS), MS Azure OpenAI

· SQL (Postgres RDS/Aurora), NoSQL (Cassandra, Elasticsearch)

· Messaging – Kafka, RabbitMQ, SQS

· Monitoring – New Relic, Splunk

· GitHub, IDE (your choice)