EOS RPO

Sr Software Engineer

Posted Oct 28, 2026
Location
Bangalore, karnatka
Hours/week
40 hrs/week

Sr Software Engineer:


In this role, you will:

  • Lead moderately complex initiatives and deliverables within technical domain environments

  • Contribute to large scale planning of strategies

  • Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments

  • Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures

  • Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements

  • Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals

  • Lead projects and act as an escalation point, provide guidance and direction to less experienced staff.

Required Qualifications:

  • 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications:

  • 4+ years of Software Engineering experience or equivalent demonstrated through work experience, training, military experience, or education

  • Strong hands-on development experience across modern technology stacks.

  • Proven experience developing full-stack, scalable distributed applications

  • Ability to work across multiple components and collaborate with cross-functional engineering teams

  • Strong focus on delivering high-quality features aligned to product requirements and user stories

  • Bachelor’s degree in engineering / MCA or equivalent

  • Strong development experience in C#, .NET Core, REST/Web APIs, and Microsoft technologies

  • Experience building scalable, distributed applications

  • Experience with relational and non-relational databases, preferably in cloud environments

  • Experience with asynchronous, event-driven, and messaging systems

  • Exposure to cloud platforms (Azure/AWS/GCP) and containerization technologies

  • Experience or understanding of Kubernetes preferred

  • Solid understanding of operating systems (Windows/Linux) and virtualization

Job Expectations:

  • Experience leveraging AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, or similar) to improve developer productivity, code quality, and delivery speed

  • Working knowledge of AI/ML fundamentals (basic concepts, model lifecycle, limitations, evaluation)

  • Experience integrating AI capabilities into applications using APIs/SDKs (e.g., Azure OpenAI/OpenAI/AWS/GCP AI services)

  • Practical understanding of LLM usage patterns: prompt design basics, output validation, and guardrails

  • Familiarity with common AI application architectures (e.g., Retrieval-Augmented Generation/RAG conceptually) and when to use them

  • Ability to build AI-enabled features such as summarization, classification, extraction, Q&A, and conversational assistants

  • Awareness of responsible AI practices: privacy, security, bias considerations, safe handling of data, and compliance basics

  • Understanding of operational considerations for AI in production (latency/cost considerations, monitoring, fallback strategies, human-in-the-loop)

  • Exposure to vector search / embeddings concepts and related storage options is a plus (not mandatory)