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.
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PythonCandid 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
PythonRequirements :
- Strong communication skills are essential.
- The candidate should have 4-5 years of experience in automation and be proficient in Python and pytest (minimum 3-4 years of experience).
- They should have experience with SQL queries and JDBC connection.
- They must be capable of performing tasks with minimal supervision and taking responsibility.
- Agile working experience is crucial, and they should be available to attend & contribute in Agile ceremonies during UK/US hours.
- The candidate should proactively raise any issues or risks.
- They should have an understanding of CI/CD with Azure pipelines.
- The ability to understand flows and functionalities and identify issues through automation is important.
- A good grasp of code reusability, writing methods with fuzzy logic, and understanding OOP concepts is required.
Key Responsibilities:
- Develop and deploy AI/Gen-AI applications using Python, FastAPI, and LangChain/Langraph.
- Integrate with MCP (Model Configuration Platform) or similar orchestration tools for scalable deployments.
- Collaborate with cross-functional teams to understand project requirements and deliver high-quality AI solutions.
- Optimize model performance, monitor deployments, and manage model lifecycle in production.
- Stay up to date with the latest trends and advancements in the AI/ML and Gen-AI space.
Required Skills & Experience:
- 5-8 years of experience in Python development, with a focus on AI/ML projects.
- Hands-on experience with FastAPI for building APIs and backend services.
- Working knowledge of LangChain, LangGraph, or similar Gen-AI frameworks.
- Experience with MCP or equivalent model orchestration/configuration platforms.
- Familiarity with prompt engineering, vector stores, and LLM integration is a plus.
- Strong problem-solving and debugging skills.
HTML/CSS
React.jsYour Responsibilities
As a Software Engineer, your key responsibilities will include:
1. Design and develop high-volume, low-latency applications for mission-critical systems, delivering high-availability and performance.
2. Ensure successful delivery of all technology tasks assigned with high quality. Developing and executing as per the project plans.
3. Contribute in all phases of the development lifecycle: concept, design, build, deploy, test, release to app stores and support.
4. Diagnose performance issues, fix bugs (including crashes and ANRs) to increase the functionality of the application.
5. A proven team member and individual contributor with strong analytical and stakeholder management skills.
6. Write well designed, testable, efficient code.
7. Bring innovative ideas to meet our company’s technical needs and enhance applications by identifying opportunities for improvements.
8. Communicate key project data to team members and building cohesion amongst team members.
The Skills you’ll need
In order to be successful in this role, you must have the following skills & experience:
1. In-depth knowledge of JavaScript, TypeScript, CSS, HTML, and front-end languages.
2. Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
3. Should have built web apps, CMS, admin panels that are deployed to production.
4. It will be an addon if you can also code mobile apps in React Native.
5. Should have experience of integrating backend API's and managing state locally.
6. Should understand complex business logic and be able to convert that into code.
7. Good to have capability of converting design into HTML code.
8. Good to have exposure to building video streaming and real time chat platform using webrtc & socket.io.
9. Good to have understanding of docker containerization and Kubernetes.
10.Should have an understanding of how to build and deploy a ReactJS application
11.Experience in dealing with tech and business stakeholders.
12.Strong understanding of Agile methodology.
13.Hands on experience in Dev Ops.
14.Proven analytical and problem-solving skills.
15.Excellent communication skills and ability to interact effectively at all levels across technology teams.
16.Can work well both individually or in a team by taking a collaborative approach to problem solving and delivery.
Good to have skills
1. Self-starter and highly motivated individual who is prepared to use his/her own
initiative in understanding and following up issues.
2. Takes ownership and responsibility of problems through to resolution.
3. Keen to learn business processes and technical skills.
4. Ability to work under pressure and multi-task when necessary.
5. Hands on experience using tools like Trello, Gitlab, Zoom.
PythonWe 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.
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