We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale -- across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
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REQUIREMENTS:
Total experience5+ years.
Deep understanding of Generative AI fundamentals and transformer-based architectures.
Strong working experience in Lang Chain and Prompt Engineering.
Expertise in Generative AI and Retrieval-Augmented Generation (RAG).
Proficiency in OpenAI APIs/models.
Hands-on experience with open-source AI libraries such as Hugging Face and TensorFlow.
In-depth knowledge of NLP, deep learning architectures, and ML algorithms.
Proficient in Python and experience with AI solution deployment.
Experience working with cloud platforms like AWS, Azure
,
or Google Cloud.
Experience building agent-based AI application
s
usingLang Graph, Auto Gen, Crew AI
,
orReact
.
Strong grasp of agent lifecycle management, tool orchestration
,
and multi-agent collaboration.
Familiarity with goal decomposition, task planning, and autonomous reasoning.
Ability to integrate external tools/APIs/plugins dynamically into agent workflows.
Understanding of Chain-of-Thought (CoT)reasoning
,
self-reflection loops, andmemory-aware agents.
Exposure to RLHF and AI safety practices for autonomous systems.
Experience in modularizing components for task-specific composable agent design.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
RESPONSIBILITIES:
Understanding the client's business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the clients' requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation.
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
Understanding and relating technology integration scenarios and applying these learnings in projects.
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Qualifications
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Bachelor's or master's degree in computer science, Information Technology, or a related field.
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