Senior Software Engineer (AI Role) - Bengaluru, Karnataka, India

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About the Role

We are seeking a highly skilled Senior Software Engineer with robust Python expertise and a passion for developing intelligent agentic systems. This position is perfect for individuals who excel at building LLM-powered applications, combining deep technical knowledge with an entrepreneurial mindset to tackle complex challenges. You will be instrumental in creating cutting-edge AI agent systems that harness existing language models to address real-world problems.

What You'll Do

• Design, develop, and deploy production-ready agentic AI systems leveraging Large Language Models (LLMs).
• Construct scalable Python services and orchestration pipelines for intricate multi-step agent workflows.
• Architect frameworks that empower agents with reasoning, planning, tool utilization, and autonomous task execution capabilities.
• Integrate LLM APIs (e.g., OpenAI, Anthropic) into resilient and reliable production systems.
• Collaborate with cross-functional teams to transform business requirements into effective technical solutions.
• Optimize the performance, reliability, and cost-efficiency of LLM-powered applications.
• Evaluate and integrate emerging LLM technologies and agentic patterns into our product offerings.
• Contribute significantly to technical strategy and architectural decisions with an entrepreneurial perspective.
• Mentor junior engineers and champion best practices in the development of AI-powered systems.

What You Bring

• A minimum of 7 years of professional software engineering experience.
• Strong proficiency in Python, with a thorough understanding of software design patterns and best practices.
• A solid grasp of machine learning concepts, including model functionality, capabilities, and limitations.
• Hands-on experience working with Large Language Models (e.g., OpenAI, Anthropic, open-source models).
• A proven history of building AI agents or agentic systems, demonstrating expertise in areas like tool use, reasoning, multi-step workflows, and function calling.
• Exceptional analytical and problem-solving skills, with the ability to debug complex systems effectively.
• Excellent communication skills and a demonstrated ability to collaborate effectively within a team.
• An entrepreneurial spirit: self-motivated, comfortable with ambiguity, and a strong bias for action.

Nice to Have

• Active contributions to open-source projects, particularly in AI/agentic systems.
• Experience with prompt engineering, Retrieval-Augmented Generation (RAG) systems, or embedding-based search.
• Familiarity with vector databases and semantic search technologies.
• Knowledge of LLM orchestration frameworks such as LangChain or LlamaIndex.
• Experience with modern workflow orchestration tools like Temporal or Airflow.
• Background in distributed systems or high-scale applications.
• Experience with agent frameworks or Model Context Protocol (MCP).
• Publications, blog posts, or technical talks within the AI/agents domains.
• Experience building developer tools or platforms.