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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on building and deploying AI-native systems for production. Key technologies and tools include LangChain / AutoGen / LangGraph, LLMs, RAG and vector databases, plus LLMOps and CI/CD practices. Responsibilities cover designing and orchestrating multi-agent AI systems, crafting prompts and agent workflows, building scalable RAG and knowledge systems, deploying and monitoring models with guardrails, and implementing observability and production optimizations. Offered benefits include private medical care, life insurance, dental care, cafeteria benefits and shared sports activity costs.
from: 16 September 2026
to: 16 October 2026
salary not specifiedcontract of employment (full-time)
Offer parameters
level:mid
working mode:hybrid
location:London, abroad (United Kingdom)
London, abroad (United Kingdom)
Requirements
Expected technologies
LangChain
AutoGen
LangGraph
Our requirements
- 3-10 years of technical delivery experience with strong AI-tool fluency across the full stack.
- Hands-on experience with agentic coding and multi-agent orchestration using frameworks such as LangChain, AutoGen or LangGraph.
- Strong prompt and intent engineering skills, with the ability to validate AI-generated code for quality and correctness.
- Experience designing RAG pipelines and managing vector databases to ground and improve agent accuracy.
- LLMOps and model lifecycle management experience, including guardrail implementation, AIOps observability and CI/CD for AI systems.
Optional
- Demonstrated agentic engineering and orchestration expertise paired with strong context and retrieval engineering.
- Production AI operations (LLMOps) experience running LLMs and agents at scale.
- A track record of full-stack AI delivery, reaching for an AI tool first as a generalist builder.
- Domain fluency and contextual judgment to validate AI outputs against real business context.
- A strong business-outcome orientation, owning what the pod builds permanently in production.
Your responsibilities
- Build and orchestrate multi-agent AI systems, integrating agent outputs into production environments that solve real business problems.
- Design intent-driven prompts and workflows for AI coding agents, applying human judgment to validate quality, safety and accuracy.
- Create scalable RAG architectures, vector stores and knowledge systems that enable trustworthy and context-aware AI experiences.
- Deploy, monitor and optimize LLMs and AI agents in production, implementing responsible AI guardrails and observability practices.
- Build AI-embedded applications and workflows using enterprise AI platforms, automation tools and modern engineering practices.
About the project
As a Frontier Engineer, you'll help build AI that moves the world forward. Working at the frontier of technology, you'll join a lean, high-impact pod where human ingenuity and AI come together to solve real-world challenges for some of the world's leading organizations. You'll partner directly with clients to design, deploy and continuously improve AI-native systems, with the freedom to experiment with emerging technologies and turn bold ideas into real impact.
What we offer
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in London, United Kingdom. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Benefits
- sharing the costs of sports activities
- private medical care
- life insurance
- dental care
- cafeteria benefits
COGNIZANT
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
This is how we work
Frontier Engineer
I apply to:
COGNIZANT
London, abroad (United Kingdom)
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
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