Design, build, and deploy production-ready AI applications using LLMs, RAG, and agentic AI. Develop backend services and REST APIs, integrate AI into enterprise software, optimize scalability and reliability, and collaborate with cross-functional teams on AI use cases and architecture.
We are looking for a Senior AI Engineer to join our team and develop next-generation AI-powered applications that leverage Large Language Models (LLMs) and modern AI frameworks. In this role, you will design, develop, and deploy intelligent solutions using Generative AI technologies, Retrieval-Augmented Generation (RAG), and Agentic AI architectures. You will collaborate closely with software engineers, product teams, and business stakeholders to deliver scalable, secure, and production-ready AI solutions.
Key Responsibilities- Design, develop, and deploy AI-powered applications and intelligent services
- Build and optimize solutions using Large Language Models (LLMs)
- Develop Retrieval-Augmented Generation (RAG) pipelines and AI workflows
- Design and implement AI agents and orchestration frameworks
- Develop backend services and REST APIs supporting AI applications
- Integrate AI capabilities into enterprise software solutions
- Collaborate with cross-functional teams to define and deliver AI use cases
- Optimize the performance, scalability, and reliability of AI solutions
- Contribute to technical architecture, documentation, and engineering best practices
- Stay up to date with emerging AI technologies and industry trends
Requirements
- Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field
- 5+ years of professional software development experience
- Strong programming experience in Python
- Experience developing AI applications using Large Language Models (LLMs)
- Hands-on experience building Retrieval-Augmented Generation (RAG) solutions
- Experience with Agentic AI frameworks such as LangChain, LangGraph, or PydanticAI
- Experience with OpenAI, Azure OpenAI, Anthropic Claude, or similar AI platforms
- Experience developing backend applications using FastAPI or Django
- Experience designing and developing REST APIs
- Experience with SQL and relational databases such as PostgreSQL or MySQL
- Experience with Git and CI/CD pipelines
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills in English
- Experience with vector databases such as Pinecone, Weaviate, or Milvus
- Experience with Docker and Kubernetes
- Experience with AI observability tools such as LangSmith or Arize Phoenix
- Experience with prompt engineering and LLM evaluation
- Experience building AI copilots or intelligent assistants
- Have a passion for Generative AI and intelligent software development
- Enjoy solving complex technical challenges using modern AI technologies
- Can build scalable and production-ready AI applications
- Thrive in collaborative and fast-paced engineering environments
- Have a proactive and solution-oriented mindset
- Continuously explore new AI technologies and best practices
BenefitsWhy join inventYOU
- Work on innovative AI and Generative AI solutions
- Build production-grade applications using modern AI technologies
- Collaborate with experienced engineering teams on cutting-edge projects
- Gain exposure to the latest AI frameworks, platforms, and cloud technologies
- Be part of impactful projects that drive innovation and digital transformation
Similar Jobs
Information Technology • Software
Lead design and ownership of shared libraries, Spring Boot starters, and agentic frameworks. Set standards for agent orchestration, evaluations, and guardrails. Mentor teams on Python-based agents (LangChain/LangGraph), drive adoption, prototype research directions, and improve developer experience across Kotlin backend and client libraries.
Top Skills:
JvmKotlinLangchainLanggraphLlmsPythonSpring Boot
.png)
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Design, build, and maintain automated test suites, evaluation scenarios, metrics, and datasets for AI-powered features. Automate QA workflows with Python and CI/CD, test APIs and ML model outputs, define quality strategy and acceptance criteria, create CI/CD quality gates, mentor teams, participate in code reviews, and document findings.
Top Skills:
Ai-Powered Testing ToolsAirflowAPIsAWSAzureCadCi/CdCometGithub ActionsGoogle Cloud PlatformGreat ExpectationsJenkinsMetaflowMlflowPythonPyTorchTensorFlowWeights & Biases
Machine Learning • Software • Database
Design and implement execution primitives for AI/agent workflows in Kestra's Java core, build and maintain plugins to connect LLM providers and agent frameworks, convert agent use cases into reusable blueprints with product, and ensure AI executions are observable, debuggable, correct, and reliable.
Top Skills:
AWSAzureBootstrapDockerElasticsearchGCPGitGithub ActionsJavaKafkaKubernetesLangchain4JMicronautMySQLPostgresTerraformVue
What you need to know about the Manchester Tech Scene
Home to a £5 billion digital ecosystem, including MediaCity, which consists of major players like the BBC, ITV and Ericsson, Manchester is one of the U.K.'s top digital tech hubs, at the forefront of advancements in film, television and emerging sectors like as e-sports, while also fostering a community of professionals dedicated to pushing creative and technological boundaries.
