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    Job · 21447771

    NOIDA · FULLTIME

    Forward Deploy Engineer - AI Solutions

    Wits Innovation Lab

    Wits Innovation Lab

    Noida · onsite · Posted 2d ago

    Sourced fromNaukri
    Undisclosed5–10 yrsfulltimeNoida

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    Section · 01

    About this role

    Responsibilities
    • Collaborate 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.
    Technical Skills
    • Strong Programming Language Proficiency: Expert-level skills in at least one modern programming language (e.g., Python, Java).
    • 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.
    Good To Have
    • Agentic AI Hands-on Experience: Practical experience in designing, building, and deploying AI agents or multi-agent systems that exhibit autonomous, proactive, and adaptive behaviours.
    • Familiarity with containerization technologies (Docker, Kubernetes).
    • Experience with data analytics and visualization tools.
    • Prior experience in the commercial real estate or adjacent industries.

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    Section · 02

    Skills

    SDLCDockerKubernetesAimlRetrieval Augmented GenerationPrompt EngineeringAgileMLOpsgoogle cloud platformamazon web servicesvector databasesLarge Language Models (LLMs)Multi-Agent SystemsPythonREST APIJavaMicrosoft AzureAPI IntegrationData Pipeline

    Section · Company

    About WITS Innovation Lab

    Wits Innovation Lab

    Wits Innovation Lab

    IT Services & Consulting

    125

    employees

    Los Angeles, California

    United States

    About

    Wits Innovation Lab is the hub of innovative technology that helps you create solutions, products, and services for businesses of all sizes—startups, SMBs, enterprises, and everything in between.
    Not only do we help businesses with digital transformation, but we also help them stay ahead of the curve with products in realms like the Internet of Things, Business Intelligence, eCommerce, and more.

    Industries

    IT Services & Consulting

    Employee ratings

    44 reviews

    3.3/ 5

    Culture

    3.3

    Career growth

    3.0

    Work-life

    3.2

    Employees rate it well for

    Work Culture8Senior Management7Work Life Balance6Learning6Working Hours/shift5

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