Generative AI Scientist (Lead II – ML Engineering)

Generative AI Scientist (Lead II – ML Engineering): (Company Name - Subscribers only)

Job Description:

Role: Generative AI Scientist

Permanent / Fixed term contract/ Contract Inside IR35

Contract Length: Initial 6-12 months with possible extensions

Start Date: Immediate preferred

Location Requirement:Onsite (3 days per week in the office and 2 days remote )

Applicants legally authorized to work in the United Kingdom without the need for current or future visa sponsorship preferred

Experience: Minimum10-15 years

We are seeking a Generative AI Scientist to design and deliver agent-based, AI-enabled solutions integrated into complex enterprise environments. This is a hands-on engineering role, focused on building production-grade AI systems that move beyond experimentation into scalable, secure, and measurable outcomes for our clients.

You’ll work closely with (Company Name - Subscribers only)’s engineering teams, AI specialists, and business stakeholders to translate high-value use cases into rob(Company Name - Subscribers only) solutions.

What You’ll Be Doing:

Build Agent-Based AI Systems

• Design and develop multi-agent orchestration workflows (supervisor / sub-agent patterns)
• Implement multi-step, asynchronous pipelines to solve complex enterprise problems
• Integrate AI workflows into client systems via secure, well-designed APIs

Develop LLM-Enabled Applications

• Deliver end-to-end LLM-powered features in production environments
• Design effective prompting strategies and context management
• Implement structured outputs, validation, and safety guardrails, aligned to responsible AI principles

Design Retrieval & Data Pipelines (RAG)

• Build and optimise retrieval-augmented generation (RAG) pipelines
• Work with:

*Vector search and similarity retrieval

*Search and indexing systems

*Embeddings and content storage

*Caching strategies for performance and scalability

Backend & Platform Engineering

• Develop Python-based backend services (APIs, integrations, orchestration layers)
• Apply strong engineering discipline across testing, observability, and error handling
• Contribute to reusable assets and patterns within (Company Name - Subscribers only)’s AI ecosystem

Cloud-Native Delivery (AWS)

• Deploy and operate scalable solutions on AWS
• Ensure best practices across:
• Security and IAM
• Reliability and performance
• CI/CD and environment management

What We’re Looking For:

• Strong experience in Python backend engineering
• Hands-on delivery of Generative AI / LLM-based applications
• Experience with:

Agent frameworks (e.g. LangChain, LlamaIndex, or similar)

Retrieval-based systems (RAG, vector databases, embeddings)

APIs, microservices, and asynchronous workflows

• Experience deploying production systems in AWS environments

Nice to Have:

• Experience with multi-agent architectures
• Exposure to productionising AI systems at scale
• Knowledge of data pipelines, search infrastructure, and platform engineering

If interested , please apply for an immediate discussion with Talent partner

#(Company Name - Subscribers only)

Skills:

Python, Generative AI, RAG, Microservices, Vector Databases, AWS, LangChain, LlamaIndex

About Company:

(Company Name - Subscribers only) is a global digital transformation solutions provider. For more than 20 years, (Company Name - Subscribers only) has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, (Company Name - Subscribers only) partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, (Company Name - Subscribers only) embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, (Company Name - Subscribers only) builds for boundless impact—touching billions of lives in the process.