FemTechConf®
AI Software Engineer | Talent Network
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AI Software Engineer Talent Network | London | Open Application
FemTechConf Partner Network
Please do not follow up directly with the FemTechConf team regarding application progress. If your profile is relevant for a current or future opportunity, our clients or partner organisations may reach out directly to discuss next steps.
Build the Next Generation of AI-Powered Products in London
Are you an AI Software Engineer, Machine Learning Engineer, Applied AI Engineer, Software Engineer, Backend Engineer, Data Engineer, LLM Engineer, AI Product Engineer, or Full-Stack Engineer with experience or interest in artificial intelligence? FemTechConf is building a network of exceptional AI and software engineering talent interested in connecting with our clients and partner organisations across the London and UK technology ecosystem.
By applying to this opportunity, your profile may be shared with selected FemTechConf clients and partner organisations that are actively looking for engineers across areas such as:
- AI Software Engineering
- Machine Learning Engineering
- Applied AI Engineering
- LLM Engineering
- AI Product Development
- Backend Engineering
- Data Engineering
- Full-Stack Engineering
- Cloud Engineering
- Automation
- AI Infrastructure
- Intelligent Systems
Our clients and partners include startups, scale-ups, global technology companies, consulting organisations, enterprise technology teams, AI-focused companies, research-driven teams, and organisations investing in software, data, cloud, automation, and artificial intelligence.
This is an open application opportunity designed to connect strong AI and software engineering talent with current and future roles across our client and partner network.
About FemTechConf
FemTechConf is one of Europe’s largest communities for women and allies in technology, with more than 450,000 members globally across software engineering, product, data, AI, cloud, cybersecurity, leadership, business, investment, and innovation.
We work with leading organisations to help build more diverse, innovative, and inclusive technology teams while creating access to opportunities for women and underrepresented talent across the technology industry.
Through our community, events, talent network, and partnerships, we help connect talented candidates with companies that are actively hiring and investing in the next generation of technology teams.
FemTechConf also organises leading Women in Tech events across Europe, including the Women in Tech London Summit and the Women in Tech EMEA Summit, bringing together technical teams, AI leaders, product teams, hiring managers, founders, senior leaders, and partner companies from across the technology ecosystem.
What Our Clients Are Looking For
While requirements vary depending on the organisation, our clients are typically interested in AI software engineers with experience across one or more of the following areas:
AI Software Engineering
- Building AI-powered products, platforms, tools, or internal systems
- Integrating AI models into production software
- Developing intelligent features for web, mobile, SaaS, enterprise, or customer-facing products
- Working with APIs, backend systems, data pipelines, and AI services
- Building scalable, reliable, and user-focused AI applications
- Translating AI concepts into practical product features
Machine Learning and Applied AI
- Machine learning model development, training, fine-tuning, or evaluation
- Applied AI use cases across automation, prediction, classification, recommendation, search, or personalisation
- Python, PyTorch, TensorFlow, scikit-learn, Hugging Face, or similar tools
- Model evaluation, experimentation, and performance improvement
- ML pipelines, feature engineering, and model deployment
- Responsible and reliable AI implementation
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LLMs, Generative AI and AI Agents
- Large language models and generative AI applications
- Prompt engineering and AI workflow design
- Retrieval-augmented generation, vector databases, embeddings, and semantic search
- AI agents, copilots, chatbots, automation tools, and intelligent assistants
- OpenAI, Anthropic, Google Gemini, Mistral, Llama, or similar model ecosystems
- Evaluation, guardrails, monitoring, and reliability for LLM-based systems
Backend, Data and Cloud Engineering
- Python, JavaScript, TypeScript, Node.js, Java, Go, or similar technologies
- REST APIs, GraphQL, microservices, and distributed systems
- Databases such as PostgreSQL, MongoDB, Redis, Snowflake, BigQuery, or similar
- Data pipelines and analytics infrastructure
- AWS, Azure, Google Cloud, or similar cloud platforms
- Docker, Kubernetes, CI/CD, observability, and deployment workflows
Product, Collaboration and Engineering Quality
- Working closely with product managers, designers, data scientists, researchers, and business teams
- Writing clean, scalable, maintainable, and well-tested code
- Turning ambiguous problems into usable technical solutions
- Building prototypes, MVPs, and production-ready features
- Code reviews, technical documentation, and engineering best practices
- User-focused product thinking and strong communication skills
Typical Responsibilities
Depending on the client organisation and opportunity, responsibilities may include:
- Designing, building, testing, and maintaining AI-powered software products, platforms, and internal tools
- Integrating machine learning models, LLMs, APIs, or AI services into production systems
- Developing backend, full-stack, data, cloud, or AI infrastructure solutions
- Building AI agents, copilots, recommendation systems, automation tools, or intelligent product features
- Collaborating with product managers, designers, data scientists, researchers, and other engineers
- Supporting model evaluation, experimentation, deployment, and monitoring
- Improving the performance, reliability, scalability, and safety of AI-enabled systems
- Building data pipelines, vector search systems, retrieval systems, or AI workflows
- Participating in code reviews, technical discussions, and agile development processes
- Contributing to architecture decisions for AI, data, backend, cloud, and platform systems
- Helping teams turn AI ideas into useful, reliable, and impactful products
Ideal Candidate
We welcome applications from engineers with experience across AI software engineering, machine learning engineering, applied AI, backend engineering, data engineering, full-stack engineering, cloud engineering, or product engineering.
Successful candidates may have:
- Professional experience as an AI Software Engineer, Machine Learning Engineer, Applied AI Engineer, Software Engineer, Backend Engineer, Data Engineer, Full-Stack Engineer, LLM Engineer, or similar role
- Strong programming experience in Python, JavaScript, TypeScript, Java, Go, or another modern language
- Experience building production software, AI applications, data systems, platforms, or APIs
- Understanding of AI, machine learning, LLMs, data pipelines, automation, or intelligent systems
- Experience with tools such as PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, vector databases, cloud platforms, or similar technologies
- Ability to write clean, scalable, and maintainable code
- Experience working in agile product or engineering teams
- Strong communication skills and the ability to work with technical and non-technical stakeholders
- Interest in London-based, UK-based, hybrid, or remote AI and software engineering opportunities
- Passion for artificial intelligence, product development, innovation, and continuous learning
Get help with your application
Your very own career expert that helps elevate your application to the next level.
You do not need to have every skill listed. We encourage applications from candidates with different technical backgrounds, career paths, and levels of experience.
Why Apply?
Access Strong AI and Software Engineering Opportunities
- Gain visibility with FemTechConf clients and partner organisations
- Be considered for current and future AI Software Engineer, Machine Learning Engineer, Applied AI Engineer, LLM Engineer, Data Engineer, Backend Engineer, and Full-Stack Engineer roles in London
- Access opportunities with startups, scale-ups, global companies, consulting firms, research-driven teams, and enterprise technology teams
- Connect with organisations actively hiring AI and engineering talent across the UK
Join a Leading Women in Tech Community
- Become part of one of Europe’s largest communities for women and allies in technology
- Stay connected to future AI, software engineering, cloud, product, data, and leadership opportunities
- Access networking opportunities through FemTechConf’s community and events
- Connect with organisations committed to building more diverse and inclusive technology teams
- Selected applicants may receive free access to our upcoming Women in Tech London Summit to meet hiring managers and partner companies in person
Build Your Career in AI and Technology
- Join a network designed to increase access to high-quality AI and technology opportunities
- Connect with companies building products across AI, software, cloud, data, automation, and digital transformation
- Grow your career in one of Europe’s most exciting AI and technology ecosystems
- Take the next step toward a stronger role in AI software engineering, applied AI, machine learning, LLM engineering, backend engineering, data engineering, or product engineering
Apply Today
Submit your application and CV to join the FemTechConf AI Software Engineer Talent Network for London.
Please do not follow up directly with the FemTechConf team regarding application progress. If your profile is relevant for a current or future opportunity, our clients or partner organisations may reach out directly.
Make sure to follow FemTechConf and Women in AI on LinkedIn to stay up to date with future opportunities, events, and announcements.
You can also learn more about the Women in Tech London Summit here: https://femtechconf.com/london
And check out our newest event, the biggest Conference for Women and Allies in AI: The Women in AI Global Summit, happening next year in London: https://womeninaiglobalsummit.com
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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