Software Engineer 3

Tekskills Inc.

Mumbai

On-site

INR 3,500,000 - 5,000,000

Full time

14 days+

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Job summary

Tekskills Inc. in Mumbai seeks a senior technology professional to design and deliver trusted AI-driven products in a secure, scalable manner. You will lead multi-domain technical solutions and collaborate on GenAI projects with strong emphasis on production readiness.

You will work with DevOps and Data Science teams to deploy reliable ML systems, enforce secure coding practices, and continuously integrate new cloud-native architectures and technologies into production.

Qualifications

  • Advanced Python programming with 4+ years and code samples or project links.
  • Proven experience building scalable ML-driven products with documented references.
  • Hands-on Azure and AWS deployments with at least 2 years each.
  • Experience in regulated environments (BFSI, healthcare) with client references.
  • Proficient across the SDLC: secure coding, reviews, testing, CI/CD.
  • Terraform/IaC implementation in real-world infra.
  • Experience with large-scale cloud-native architectures (microservices, serverless).
  • Microservices performance tuning and real-time apps.
  • Azure and AWS professional-level certifications (at least one).
  • GenAI/LLM frameworks exposure (LangChain, HuggingFace, OpenAI).

Responsibilities

  • Lead and execute critical technology solutions across multiple domains.
  • Partner with teams on LLM and GenAI projects, including prompt engineering and RAG pipelines.
  • Collaborate with Data Science and Cybersecurity to deliver ML products, including deployment and monitoring.
  • Work with DevOps to plan, automate, and deploy data storage and processing systems with CI/CD and IaC.
  • Develop secure, high-quality production code; review and debug others' code; enforce standards.
  • Stay updated on AI, GenAI, and cloud advancements and drive integration into production.

Skills

Advanced Python
ML-driven products
Azure
AWS
CI/CD
Terraform
IaaC
GenAI frameworks
LLM
Microservices

Job description

Job Description:
  • Serve as a senior member of an agile team to design and deliver trusted, market-leading technology products in a secure, stable, and scalable way.
  • Lead and execute critical technology solutions across multiple technical areas within various business functions.
  • Partner with other technology teams on LLM and GenAI projects, including prompt engineering and RAG pipelines.
  • Collaborate with Data Science and Cybersecurity to deliver ML products, including model deployment, monitoring, and compliance.
  • Work with DevOps engineers to plan, automate, and deploy data storage and processing systems using best-in-class CI/CD and IaC practices.
  • Execute creative software solutions, design, development, and advanced technical troubleshooting.
  • Develop secure, high-quality production code; review and debug code written by others; enforce code quality and security standards.
  • Stay abreast of the latest advancements in AI, GenAI, and cloud technologies and drive their integration into production.
Technical Skills (All Must Be Evidenced):
  • Advanced Python programming (minimum 4 years, with code samples or project links)
  • Proven experience building and operating scalable ML-driven products (must provide project details and references)
  • Hands-on experience in both Azure and AWS (minimum 2 years each, with evidence of live deployments)
  • Experience in highly regulated environments (BFSI, healthcare, or similar; must provide client/project references)
  • Proficient in all aspects of SDLC (including secure coding, code review, automated testing, and CI/CD)
  • Terraform, IaaC experience (must provide details of real-world infrastructure automation)
  • Experience with large-scale cloud-native architectures (microservices, serverless, container orchestration)
  • Microservices performance tuning, optimization, real-time applications (must provide metrics or case studies)
  • Azure and AWS Certifications (minimum one Professional-level certification in either cloud; both preferred)
  • Experience with GenAI/LLM frameworks (LangChain, HuggingFace, OpenAI API, etc.) is a strong plus
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