Software Development Engineer Intermediate

Overview

Seasoned AI Engineer role focused on developing and deploying AI agents and LLM-powered applications in production environments, at the intersection of software engineering and applied AI.

What you'll do

• Develop and deploy production-grade LLM and multimodal AI solutions, owning the entire application lifecycle: integration, monitoring, and continuous optimization.
• Integrate AI models and agents into enterprise applications, backend services, and APIs, ensuring scalability, reliability, security, cost efficiency, and low-latency performance in production.
• Collaborate closely with product, engineering, delivery, and business stakeholders to translate business requirements into AI-driven solutions that deliver measurable business outcomes.
• Drive continuous improvement of AI systems through experimentation, performance analysis, user feedback, and emerging advancements in generative AI technologies and frameworks.

What you'll need

• 1-4 years of software engineering experience, including 1-2 years of hands-on experience building and deploying AI/ML solutions in production environments.
• Strong proficiency in Python and solid software engineering fundamentals, including data processing, API development and integration, distributed systems, and model serving.
• Proficiency in PostgreSQL SQL.
• Familiarity with Model Context Protocol (MCP) and experience building, integrating, or consuming MCP servers, tools, and agent ecosystems.
• Demonstrated experience working with Large Language Models (LLMs), including agentic workflows, Retrieval-Augmented Generation (RAG), prompt engineering, and AI application development.
• Working experience with cloud-native AI platforms, with a strong preference for AWS services (e.g., Bedrock, SageMaker).
• Proven track record of delivering AI-driven solutions that generate measurable business value, improve operational efficiency, or enhance customer experiences.
• Excellent collaboration, stakeholder management, and communication skills, with the ability to work effectively across engineering, product, delivery, and business teams.
• Demonstrated ability to work with a high degree of ownership, accountability, and attention to detail while managing complex, multi-component AI systems in dynamic environments.
• Experience with containerization, deployment, and inference serving technologies, including Docker, FastAPI, Kubernetes, vLLM, Ollama, or similar tools.
• Ability to visualize, interpret, and communicate AI-generated insights through modern analytics platforms, dashboards, and reporting tools.

Nice to have

• Experience with Java, Node.js, or Scala.
• Contributions to AI/ML open-source projects, research initiatives, or production-scale AI innovation programs.

Details

• Location: Bangalore Office BLS2.
• This posting is for a backfill position.