Website:
marblex.in
Job details:
1Collaborate directly with enterprise clients and internal stakeholders to deeply
understand business goals, operational workflows, data landscapes, and technical
constraints.
● Design, build, and deploy AI-driven solutions, integrating core AI platforms into
customer systems and workflows.
● Translate complex business problems into viable AI solutions, focusing on where AI
agents can augment or replace manual processes.
● Develop and maintain robust, scalable AI-powered systems, ensuring efficiency,
reliability, and seamless integration with existing IT frameworks.
● Implement multi-agent systems and advanced AI solutions, utilizing techniques such
as prompting, memory management, tool usage, and behaviour planning with Large
Language Models (LLMs).
● Rapidly prototype and productionize solutions, working with client teams to
whiteboard concepts, build prototypes, and iterate quickly based on feedback.
● Build connectors and data pipelines for secure and efficient data flow between client
systems and AI platforms.
● Act as a technical solutions expert, providing troubleshooting, analysis, and support
for AI-driven architectures.
● Provide training, documentation, and enablement to client business and operations
teams, fostering self-sufficiency and adoption of AI tools.
● Serve as a critical feedback loop to internal product and engineering teams,
influencing the roadmap based on customer insights and real-world deployment
challenges.
● Lead the technical delivery of pilot projects and full-scale implementations, ensuring
on-time delivery and adherence to performance metrics.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty
satisfactorily. The requirements listed below are representative of the knowledge, skill,
and/or ability required.
EDUCATION and EXPERIENCE
● Bachelor's degree in Computer Science, Engineering, or a related technical field.
● 5-8 years of progressive experience in software engineering, data engineering,
applied Machine Learning, or a similar technical role.
● Experience in a customer-facing, consulting, or implementation capacity is highly
desirable.
TECHNICAL SKILLS
● Strong Programming Language Proficiency: Expert-level skills in at least one modern
programming language (e.g., Python, Java).
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INC.
● Strong AI Literacy: Demonstrable understanding of AI/ML fundamentals, including
concepts like LLMs, RAG (Retrieval Augmented Generation), embeddings, and
vector databases.
● Hands-on experience with cloud platforms (AWS/GCP/Azure), including familiarity
with MLOps tooling.
● Experience with API design and integration for AI services and enterprise systems
(e.g., Salesforce, ServiceNow).
● Solid understanding of software development lifecycle (SDLC) best practices and
agile methodologies.
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