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Salary
≈ $18k – $41k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 8+ years exp

First seen by Alion on Oct 8, 2026.

Overview
Company
Impact
Profile match
Eraya Tech Solutions is a technology company in Bengaluru that builds production-grade software applications. It is hiring a senior software engineer with eight or more years of experience for Python development, with part of the work on AI, LLM and agentic AI solutions. The company is based in Bengaluru, India.

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.

Skills

Python, Generative AI, LLM, Agentic AI, RAG, Microservices Architecture, Artificial Intelligence, OOPS, Design Patterns, NoSQL, AWS

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