Lead GenAI Engineer

Spendkey · Pune, India
Location
Pune, India
Work mode
Hybrid
Type
Full-time
Seniority
Lead
Salary
£25,000 / year
Posted
5 Nov 2026

Verified open 5 Nov 2026 · Source: Company careers page

About the role

    All Jobs

    Lead GenAI Engineer

    We are seeking a Lead GenAI Engineer with expertise in Amazon Bedrock to design and lead the integration of GenAI-powered agents.

    Apply Now

    Job title

    Lead GenAI Engineer

    Base

    Pune / Remote

    Hours per week

    39 Hours

    Probation period

    3 months

    Salary

    Full Time

    Annual Leave

    25 days (plus Bank Holidays)

    About us:

    Spendkey collects, cleans, and enriches data from documents and systems so that you can analyse spend, compare contracts and invoices, share insights, make recommendations, and get things done.  

    Spendkey is an AI-powered spend data platform with autonomous sourcing and negotiations.  

    Takes proactive steps to control spend, makes timely decisions and negotiates better deals with automated tasks that reduce supply risk, cut costs, enhance quality and improve sustainability and performance. 

    About the role:

    The Lead GenAI Engineer will  focus on designing and leading the integration of GenAI-powered agents using Amazon Bedrock. Will be responsible for building and scaling AI agents with a focus on product innovation and continuous improvements in autonomous sourcing and recommendations.

    Key responsibilities:
    • Lead the design and development of GenAI solutions using Amazon Bedrock and other AWS-native AI tools.
    • Integrate Amazon Bedrock foundation models (e.g., large language models, generative agents) into product features.
    • Collaborate with developers and AI/ML engineers to implement AI agents, automated narratives, and co-pilots.
    • Ensure the AI models are scalable, secure, and meet enterprise-grade performance requirements.
    Qualifications:
    • Expertise in Amazon Bedrock and 3-4 years of experience with other AWS AI/ML services (e.g., SageMaker, Rekognition)
    • Education: Minimum of a Bachelor's degree in a relevant technical field such as Computer Science, Engineering, Information Technology, Data Engineering, or AI.
    Preferred Skills:
    • Experience working with large language models (LLMs) and generative AI.
    • Strong understanding of cloud-based architecture for deploying AI agents using AWS Bedrock.
    • Proven experience in full-stack development and AI integration into enterprise SaaS products.

    Location:

    Pune / Remote

    Apply Now

    Job title

    Lead GenAI Engineer

    Base

    Work form home

    Hours per week

    39 Hours

    Probation period

    3 months

    Salary

    £25,000

    Annual Leave

    25 days (plus Bank Holidays)

    About us:

    At Spendkey, we believe in the transformative power of insights, which is why we go beyond simple dashboards and reporting. We exist to help companies confidently navigate the complex world of spend and supplier management to enable success in today’s competitive business environment.

    Our mission is to empower businesses to harness their data and unlock hidden insights to make data-informed decisions that achieve their strategic business goals. We do this through innovation and collaboration, with a passion for accuracy and delivering value for our customers.

    Spendkey is a spend strategy platform that helps organisations transform data and documents into profit-driving recommendations and clear actions. Spendkey combines market intelligence and AI technology to extract the full potential of business data, driving success and growth for organisations of all sizes and industries.

    Spendkey integrates a comprehensive suite of capabilities, including spend analytics, contract management, category management, market intelligence, negotiation strategies, risk management, and generative AI tools such as our Document Analyser and Cassian AI—all working together to drive profitable business growth. Our AI-powered spend strategy platform empowers businesses to have smarter spend conversations, develop cost-saving strategies, and establish a healthy spend culture.

    Founded in 2020, Spendkey has gained trust among businesses across various industries, including pharmaceuticals, manufacturing, fintech, healthcare, wealth management, consulting, and more.

    Spendkey is headquartered in the United Kingdom, and we also have a subsidiary, Spendkey India Private Limited, operating in Pune, India.

    About the role:

    The Lead GenAI Engineer will  focus on designing and leading the integration of GenAI-powered agents using Amazon Bedrock. Will be responsible for building and scaling AI agents with a focus on product innovation and continuous improvements in autonomous sourcing and recommendations.

    Key responsibilities:
    • Lead the design and development of GenAI solutions using Amazon Bedrock and other AWS-native AI tools.
    • Integrate Amazon Bedrock foundation models (e.g., large language models, generative agents) into product features.
    • Collaborate with developers and AI/ML engineers to implement AI agents, automated narratives, and co-pilots.
    • Ensure the AI models are scalable, secure, and meet enterprise-grade performance requirements.
    Requirements

    Spendkey collects, cleans, and enriches data from documents and systems so that you can analyse spend, compare contracts and invoices, share insights, make recommendations, and get things done.  

    Spendkey is an AI-powered spend data platform with autonomous sourcing and negotiations.  

    Takes proactive steps to control spend, makes timely decisions and negotiates better deals with automated tasks that reduce supply risk, cut costs, enhance quality and improve sustainability and performance. 

    Qualifications:
    • Expertise in Amazon Bedrock and 3-4 years of experience with other AWS AI/ML services (e.g., SageMaker, Rekognition)
    • Education: Minimum of a Bachelor's degree in a relevant technical field such as Computer Science, Engineering, Information Technology, Data Engineering, or AI.

    Apply Now

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