AI Engineering Lead (Python Software Engineer + GenAI) | Digital&IPA

AI Engineering Lead (Python Software Engineer + GenAI)

Your future role:

• Design and implement modern applications,

• Contribute to high-performance solution architecture,

• Create clear, maintainable project documentation,

• Participate in software deployments and collaborate with users to resolve issues,

• Present solutions and their implementations to clients,

• Approach solution creation creatively within the project cycle,

• Support junior developers in the team.

Apply if you have:

• Degree in computer science or a related field,

• Approximately 2 years of experience in similar role,

• Advanced Python and SDLC experience (6+ years),

• Familiar with AWS, Azure, or GCP cloud platforms,

• Experience with SQL/NoSQL databases,

• Deep understanding of LLMs: transformers, embeddings, tokenization, and API integrations,

• Proficiency in prompt engineering and orchestration tools (e.g. LangChain, LangGraph, Semantic Kernel, Crew AI),

• Expertise in agentic AI design patterns,

• Experience in improvement and evaluation of RAG systems.

• Familiarity with emerging AI trends and standards,

• Strong Python software engineering skills with coding standards and best practices,

• Experience with code reviews, debugging, testing, and version control,

• Familiarity with CI/CD pipelines and automation tools (GitHub, Azure DevOps, Docker, Kubernetes),

• Experience containerizing AI solutions and deploying across enterprise environments,

• Ability to integrate logging, monitoring, and alerting systems,

• Strong understanding of scaling of web applications, experience with asynchronous processing, and multithreading.

• Strong problem-solving using systems thinking and first principles,

• Ability to design scalable, resilient, and secure end-to-end systems,

• Expertise in API design, event-driven architectures, microservices, serverless, and containers,

• Familiarity with enterprise integration patterns (messaging, pub/sub, event sourcing),

• Knowledge of IAM, RBAC, secrets management, and network security (VPCs, firewalls),

• Experience in developing web applications and systems processing large data sets.

Our recruitment process:

• After positive CV verification our Recruiter will contact you by Phone for a short screening call,

• Let's get to know each other better during the recruitment interview.

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