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Mid-level Bangalore role with broad AI/backend skills and a popular title increases competition.
Requires specialized LLM/agentic systems and LLMOps expertise, reducing cross-industry transferability.
Explicit 4-7 years plus mandatory ML/agentic and backend tech stack makes shortlisting strict.
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Lead design and execution of scalable, resilient AI-integrated distributed systems with a milestone-based delivery approach.
Own end-to-end agentic workflows enabling LLM agents to autonomously plan, tool-call, and complete complex real-world tasks in production.
Lead and mentor a micro-team, enforcing high code quality, tech standards, evaluation frameworks, and deployment processes across the organization.
4-7 years of experience in building scalable distributed systems and RESTful Web Services.
Expertise in Java with strong familiarity with Python; experience with MongoDB, ElasticSearch, Scylla, Redis, Kafka.
Experience with big data tools such as Apache Spark or AWS Athena, and workflow orchestration frameworks like Apache Airflow or Celery.
Familiarity with Linux and at least one major cloud platform (GCP, Azure, AWS); strong understanding of Secure Development Lifecycle and AI security best practices.
Experienced in building and deploying agentic AI systems with multi-step planning, dynamic tool invocation, and autonomous task completion in production.
Skilled in managing tooling protocols for LLM runtimes and setting up rigorous LLM evaluation and cost-latency monitoring under real traffic.
Capable technical leader comfortable working across a polyglot stack bridging backend and AI ecosystems, with strong ownership and mentoring skills.