Senior Software Engineer / Associate Tech Lead - AI

Senior Software Engineer / Associate Tech Lead - AI

We are a leading enterprise software company specializing in secure, scalable B2B applications for the Automotive aftermarket industry. With clients across the UK, North America, and the Middle East - from startups to global enterprises - we deliver solutions that drive real business value.

As part of our commitment to innovation, we’re integrating cutting-edge AI to solve complex challenges. We’re now looking for an experienced Associate Tech Lead or Senior Software Engineer with deep AI expertise to join our growing team.

Key Duties and Responsibilities

• Design and implement AI solutions, including applications leveraging LLMs, RAG, MCP, and A2A protocols.
• Build and maintain MCP servers to support context-aware AI applications, ensuring seamless integration and performance.
• Build and maintain required APIs using NodeJS.
• Leverage AWS AI services and general cloud service offerings to build and deploy AI solutions, optimizing for cost, performance, and scalability.
• Design and implement Agentic AI systems capable of autonomous decision-making and task execution.
• Organize and manage the deployment, testing and monitoring of AI applications using industry-recognized LLMOps tools.
• Design AI solutions that are secure, and follow ethical and responsible AI practices.
• Create and execute comprehensive test scenarios and evaluation strategies for AI systems to ensure functional correctness, performance, reliability, and scalability.
• Research state-of-the-art AI tools, frameworks, and platforms to identify and recommend best-in-class solutions for specific use cases.
• Lead and mentor junior AI developers and establish best practices.

Qualifications and Experience

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• Industry recognized certifications in AI/ML will be an added advantage.
• For SSE 3+ and ATL above 5 years of professional experience in software engineering with a focus on AI/ML development.
• Hands-on development experience in Python and nodeJS.
• Familiarity with cloud-based application development and deployment on AWS.
• Proficiency in the AWS AI/ML stack, especially in Bedrock.
• Proven expertise in working with LLMs, including fine-tuning, prompt engineering, and deployment.
• Hands-on experience with building and integrating MCP servers.
• Experience with RAG, A2A protocols, and Agentic AI systems.
• Strong knowledge of LLMOps practices, including model versioning, monitoring, and scaling in production environments.
• Demonstrated experience with AI system evaluation and testing methodologies.
• Excellent problem-solving and critical-thinking abilities.
• Strong communication skills to articulate complex concepts to technical and non-technical stakeholders.
• Proven ability to work collaboratively in a fast-paced, team-oriented environment.

Nice to Have:

• Experience in frameworks like TensorFlow, PyTorch and model training would be an advantage.
• Knowledge of containerization and orchestration tools is a plus.

What we offer

• Remote-friendly and flexible working hours
• USD Salaries
• Continuous learning and professional development support
• Collaborative and modern development culture
• Optional free one-to-one English language coaching programme
• Health cover including mental health support from day one