Senior Software Engineer - Python/LLM

Job Description :

Position : Senior Software Engineer

Location : Bangalore

Experience : 8+ Years

About the Role : We are looking for a Senior Software Engineer with strong hands-on Python development experience and exposure to AI, LLMs, and Agentic AI.

This role is primarily focused on software development (70%), with 30% focused on AI/LLM-based solutions.

The ideal candidate should have experience building production-grade applications, working with different architectures, cloud and DevOps environments, APIs, databases, and solving complex technical problems independently.

Responsibilities :

Software Development - 70% :

• Design, develop, and maintain scalable production applications and backend services using Python.
• Build APIs, microservices, integrations, and data-driven applications.
• Work with databases, cloud platforms, and distributed systems.
• Contribute to system architecture and technical decisions.
• Troubleshoot production issues and improve performance, scalability, and reliability.
• Work with CI/CD, Docker, monitoring, logging, and DevOps practices.
• Take end-to-end ownership of projects and technical initiatives.
• Participate in code reviews and technical/design discussions.
• Mentor junior and mid-level engineers.

AI / GenAI - 30% :

• Build and integrate LLM-powered applications and AI workflows.
• Develop RAG-based solutions using embeddings and vector databases.
• Build and integrate Agentic AI solutions and AI orchestration workflows.
• Integrate LLMs with APIs, databases, and enterprise applications.
• Work on prompt engineering, context management, AI evaluation, and guardrails.
• Improve AI application reliability, performance, and scalability.

Qualifications :

Programming & Software Engineering :

• 8+ years of professional software development experience.
• Strong hands-on expertise in Python.
• Strong understanding of OOP, design patterns, clean code, testing, debugging, and software engineering best practices.
• Strong backend development experience.
• Experience building REST APIs, microservices, and backend services.
• Experience with relational and/or NoSQL databases.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker, CI/CD, monitoring, logging, and DevOps practices.
• Strong understanding of software architecture and system design.
• Experience troubleshooting and supporting production systems.

AI / GenAI :

• Hands-on experience with AI and LLM-based applications.
• Good understanding of RAG, embeddings, vector databases, and prompt engineering.
• Experience with Agentic AI / AI orchestration frameworks.
• Experience integrating LLMs with APIs, databases, and enterprise applications.

Good to Have :

• Experience with MCP (Model Context Protocol).
• Multi-agent systems.
• LLMOps / MLOps.
• AI observability and evaluation tools.
• Data pipelines, ETL/ELT, or Data Lakes.
• Life Sciences / Pharma / Healthcare domain experience.
• Open-source contributions.

What We Offer :

• Opportunity to work on frontier AI problems with real-world scientific impact.
• High ownership and the opportunity to shape core product capabilities.
• Competitive compensation and employee benefits.
• Flexible working environment.
• A culture that values speed, depth, and technical excellence.
• Opportunities for professional growth, learning, and innovation.
• A team of builders operating at the intersection of AI, engineering, and science.