Senior Python Developer
Last checked 2 hr ago on Himalayas.
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About 8 West Consulting
8 West Consulting provides consultancy services and leading-edge software solutions to a diverse portfolio of US, EU and UK-based clients. We work across a range of sectors including insurance, healthcare and retail market, delivering innovative technology solutions to complex business and technical challenges.
We are looking for an experienced Senior Python Developer with excellent communication skills, strong problem-solving ability and genuine capability in Artificial Intelligence and emerging technologies.
The Role
As a Senior Python Developer, you will play a key role in the design, development and delivery of high-quality software solutions for our clients.
While Python is your core strength, you will ideally have a broad understanding of modern software engineering technologies and be comfortable working in environments that span backend, frontend, databases, cloud and AI. This is a fully remote role with a minimum duration of 6 months ( + further potential depending on candidate).
Requirements
Key Responsibilities
Design, develop, test and maintain robust, scalable Python applications and services
Contribute to software architecture, technical design and engineering best practices
Design and integrate AI capabilities into applications and business workflows, selecting models and approaches appropriate to the problem.
Work with APIs, microservices, distributed systems and event-driven architectures
Analyse complex technical and business requirements and translate them into effective software solutions
Collaborate with architects, developers, QA engineers, product owners and client stakeholders
Participate in technical discussions, code reviews and mentoring of other developers
Communicate complex technical concepts clearly to both technical and non-technical audiences
Contribute to the continuous improvement of development processes, engineering standards and delivery practices
Support cloud-based deployments and modern DevOps practices
Maintain a strong focus on security, scalability, reliability, performance and maintainability
Essential Skills & Experience
Excellent verbal and written communication, demonstrated through direct collaboration with clients and multidisciplinary teams
Ability to translate business needs into clear technical requirements and explain how proposed solutions deliver business value
Strong listening and questioning skills, including the confidence to clarify ambiguity and challenge assumptions respectfully
Ability to communicate complex topics simply, adapting the level of detail to the audience
Proactive ownership of progress updates, risks, decisions and follow-through
Additional Skills & Experience: Applied AI
Demonstrable experience building and delivering AI-enabled applications or operational workflows.
Hands-on experience with multiple LLM models or model families, using platforms such as OpenAI, Anthropic or equivalent providers
Practical experience across more than one AI use case, such as document extraction, knowledge retrieval, workflow automation, classification or AI-assisted decision support
Ability to compare models and justify selection based on task suitability, quality, cost, latency and data-handling requirements
Experience with prompt design, structured outputs, model APIs and relevant techniques such as retrieval-augmented generation, tool/function calling or agent workflows
Experience evaluating outputs against representative test cases, handling failure scenarios and defining appropriate human review
Understanding of privacy, security and the limitations of AI, particularly when working with sensitive client information
Effective use of AI-assisted development tools, with personal ownership of code quality, testing and technical understanding
Personal Profile:
Communicate clearly and confidently with clients and colleagues
Build strong relationships with clients and internal stakeholders
Take ownership of problems and communicate progress, risks and solutions proactively
Degree in Computer Science, Software Engineering or a related discipline is desirable
10+ years of professional software development experience, with significant experience in Python
Demonstrable experience delivering production-quality software
Experience working in consulting, client-facing or multi-project environments is advantageous
Originally posted on Himalayas
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