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

Reposted Yesterday
Be an Early Applicant
Hiring Remotely in PL
Remote
Senior level
HR Tech • Information Technology • Professional Services • Consulting
The Role
Design and implement scalable AI applications and high-performance architectures using Python and generative AI. Develop and evaluate LLM and RAG solutions, deploy containerized systems, and integrate APIs, microservices, cloud platforms, monitoring, and security controls. Participate in documentation, testing, debugging, deployments, and client presentations while resolving user issues. Support junior developers and contribute to resilient, event-driven enterprise systems handling large datasets.
Summary Generated by Built In

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.

XTPW0826

Skills Required

  • Degree in computer science or a related field
  • Approximately 2 years of experience in a similar role
  • 6+ years of advanced Python and software development lifecycle experience
  • Familiarity with AWS, Azure, or GCP cloud platforms
  • Experience with SQL or NoSQL databases
  • Deep understanding of LLMs, including transformers, embeddings, tokenization, and API integrations
  • Proficiency in prompt engineering and orchestration tools such as LangChain, LangGraph, Semantic Kernel, or CrewAI
  • Expertise in agentic AI design patterns
  • Experience improving and evaluating RAG systems
  • Familiarity with emerging AI trends and standards
  • Strong Python software engineering skills, coding standards, and best practices
  • Experience with code reviews, debugging, testing, and version control
  • Familiarity with CI/CD pipelines and automation tools including GitHub, Azure DevOps, Docker, or Kubernetes
  • Experience containerizing AI solutions and deploying them across enterprise environments
  • Ability to integrate logging, monitoring, and alerting systems
  • Understanding of web application scaling, asynchronous processing, and multithreading
  • Ability to design scalable, resilient, secure end-to-end systems
  • Expertise in API design, event-driven architectures, microservices, serverless, and containers
  • Familiarity with enterprise integration patterns such as messaging, pub/sub, and event sourcing
  • Knowledge of IAM, RBAC, secrets management, and network security including VPCs and firewalls
  • Experience developing web applications and systems processing large datasets
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The Company
Year Founded: 2012

What We Do

Xperteez Technology is a business consulting and recruitment firm that bridges the gap between business needs and talent. The company specializes in providing IT consulting, digital marketing, and comprehensive recruitment solutions across various sectors, including BFSI, manufacturing, and e-commerce. They focus on connecting qualified job seekers with direct payroll opportunities at leading companies across India, emphasizing growth and technological excellence.

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