Software Engineer

Appcast Enterprise; City Of London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working options

Generous parental leave

Excellent retirement benefits

Job summary

bp is seeking software engineers who think holistically, automate relentlessly, and are fluent in the fast-moving world of AI tooling and infrastructure—but grounded in disciplined engineering principles. Our AI organization builds high-impact AI-powered applications that deliver real business value at speed.

As a Software Engineer, you’ll craft scalable AI-powered solutions that combine solid software engineering with pragmatic AI capabilities.

Qualifications

• Proven professional software engineering experience; ability to independently design and ship complex systems in production.
• Strong programming skills in Python (preferred), SQL, or similar languages, with experience in developing microservices, APIs, and backend systems.
• Strong problem-solving skills and the ability to balance engineering rigor with delivery speed.
• Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices.
• Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents and crew of agents etc.).
• Familiarity with AI/ML tools such as LangGraph, Haystack, Hugging Face, Weaviate, or similar ecosystems.
• Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them.

Responsibilities

• Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design).
• Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise.
• Participate in cross functional team initiatives—embedded projects with business stakeholders—to rapidly build and deploy AI solutions that solve high-priority business problems.
• Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications.
• Champion automation in workflows—from data management ingestion and preprocessing to evaluation, to model integration and deployment.
• Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of AI products.
• Stay current with emerging AI technologies, but prioritize practical application and delivery over experimental research.
• Contribute to the internal knowledge base, tooling libraries, and documentation to scale AI engineering best practices across the organization.

Skills

Python

APIs

Microservices

Cloud (AWS/Azure/GCP)

LLMs

RAG

AI tooling

Problem solving

Tools

LangGraph

Haystack

Hugging Face

Weaviate

Job description

Entity:

Technology

Job Family Group:

IT&S Group

Job Description:

Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner!

Summary

We’re looking for software engineers who think holistically, automate relentlessly, and are fluent in the fast-moving world of AI tooling and infrastructure—but grounded in disciplined engineering principles.

Our AI organization is building high-impact AI-powered applications that deliver real business value at speed. As a Software Engineer, you’ll play a critical role in building and deploying scalable AI-powered applications through solid software engineering excellence combined with pragmatic use of modern AI capabilities. This is a role for engineers who are excited about applying AI in practical and scalable ways.

We’re looking for individuals who thrive at the intersection of disciplined software development and modern AI applications. You should be comfortable working across the full lifecycle of a product—from ideation and architecture to deployment and automation—while navigating ambiguity and driving toward execution. Strong systems thinking, ownership mindset, and the ability to ship value fast are essential.

Job Responsibilities

• Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design).
• Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise.
• Participate in cross functional team initiatives—embedded projects with business stakeholders—to rapidly build and deploy AI solutions that solve high-priority business problems.
• Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications.
• Champion automation in workflows—from data management ingestion and preprocessing to evaluation, to model integration and deployment.
• Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of AI products.
• Stay current with emerging AI technologies, but prioritize practical application and delivery over experimental research.
• Contribute to the internal knowledge base, tooling libraries, and documentation to scale AI engineering best practices across the organization.

Job Qualifications

• Proven professional software engineering experience; ability to independently design and ship complex systems in production.
• Strong programming skills in Python (preferred), SQL, or similar languages, with experience in developing microservices, APIs, and backend systems.
• Strong problem-solving skills and the ability to balance engineering rigor with delivery speed.
• Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices.
• Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents and crew of agents etc.).
• Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred:
• Familiarity with AI/ML tools such as LangGraph, Haystack, Hugging Face, Weaviate, or similar ecosystems.
• Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them.
• Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats.
• Experience building chatbots, search systems, or generative AI interfaces.
• Background in working within platform engineering or internal developer tools teams.
• Prior experience working in an embedded (forward-deployed) team model with business stakeholders.
• Experience building production grade, reliable AI applications
  

Why join us?

At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity.

There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Reinvent your career as you help our business meet the challenges of the future.

Travel Requirement

No travel is expected with this role

Relocation Assistance:

This role is not eligible for relocation

Remote Type:

This position is a hybrid of office/remote working

Skills:

Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture {+ 6 more}

.

Legal Disclaimer:

We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran stat