

Grey Chain Technology
https://greychaindesign.com/About
Founded in 2016 by ex-Product & IT leaders from BCG, KPMG, RBS & Microsoft, Grey Chain is an AI and mobile-first product and services firm that focuses on design-led solutions.
We are trusted by Global companies including the likes of Accenture, UNICEF, BOSE, WHO and many other Fortune 500 Companies
We offer end-to-end engineering and development services for digital journeys, including mobile apps, CRMs, ERPs, and enterprise-grade solutions. We also provide consulting services and emphasize our expertise in Generative AI.
Tech stack

Candid answers by the company
Grey Chain is a design-led AI and mobile-first product and services firm. They specialize in end-to-end engineering and development services for digital transformation, offering solutions ranging from mobile apps and enterprise software to Generative AI implementations. With a focus on innovation and customer satisfaction, Grey Chain delivers tailored technology solutions across various sectors, including retail, healthcare, education, and finance.
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Jobs at Grey Chain Technology
Job Description
3-5 years of hands-on experience in manual testing involving functional, non-functional, regression, and integration testing in a structured environment.
Candidate should have exceptional communication skills.
Should have minimum 1 year work experience in data comparison testing.
Experience in testing web-based applications.
Able to define the scope of testing.
Experience in testing large-scale solutions integrating multiple source and target systems.
Experience in API testing.
Experience in Database verification using SQL queries.
Experience working in an Agile team.
Should be able to attend Agile ceremonies in UK hours.
Having a good understanding of Data Migration projects will be a plus.

We are seeking a Lead AI Engineer to spearhead development of advanced agentic workflows and large language model (LLM) systems. The ideal candidate should bring deep expertise in agent building, LLM evaluation/tracing, and prompt operations, combined with strong deployment experience at scale.
Key Responsibilities:
- Design and build agentic workflows leveraging modern frameworks.
- Develop robust LLM evaluation, tracing, and prompt ops pipelines.
- Lead MCP (Model Context Protocol) based system integrations.
- Deploy and scale AI/ML solutions with enterprise-grade reliability.
- Collaborate with product and engineering teams to deliver high-impact solutions.
Required Skills & Experience:
- Proficiency with LangChain, LangGraph, Pydantic, Crew.ai, and MCP.
- Strong understanding of LLM architecture, behavior, and evaluation methods.
- Hands-on expertise in MLOps, DevOps, and deploying AI/ML workloads at scale.
- Experience leading AI projects from prototyping to production.
- Strong foundation in prompt engineering, observability, and agent orchestration.
Role: Executive Assistant
Key Responsibilities:
- Provide high-level administrative and operational support to the leadership team.
- Manage calendars, meetings, and travel schedules.
- Prepare reports, presentations, and communication on behalf of leadership.
- Coordinate with internal and external stakeholders.
- Ensure smooth day-to-day operations and follow-ups on strategic priorities.
What We’re Looking For:
- Strong communication and interpersonal skills.
- Excellent organizational and multitasking abilities.
- Proficiency in MS Office / Google Workspace tools.
- Prior experience supporting senior leadership is preferred.
Key Responsibilities
Plan, execute, and optimize multi-channel performance campaigns (Google, Meta, LinkedIn, Programmatic, Affiliates, etc.).
Drive high-quality lead generation with a strong focus on CPL, CAC, and ROI.
Conduct A/B testing on creatives, landing pages, and ad copies to maximize conversions.
Manage campaign budgets & bidding strategies, ensuring efficient allocation and minimal wastage.
Collaborate with creative, sales, and product teams to design data-backed marketing strategies.
Monitor and report on campaign performance metrics (CPL, CTR, CPC, ROI, attribution).
Stay updated with industry trends, ad policy changes, and new performance marketing tools.
Build and mentor a small performance marketing team over time.
Requirements
Bachelor’s degree in Marketing, Business, or related field (MBA preferred).
5+ years of hands-on experience in performance marketing, ideally in lead generation-driven industries (real estate, auto, BFSI, EdTech, etc.).
Proficiency in Google Ads (Search, Display, YouTube), Meta Ads, and remarketing campaigns.
Strong grasp of analytics tools (Google Analytics, Tag Manager, Looker Studio, or similar).
Knowledge of SEO, marketing automation, and CRM integration is a plus.
Strong analytical, problem-solving, and communication skills.

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