Job Title : Senior AI Engineer (Tech Lead)

Location : Bangalore, Mahadeva Kodigahalli, kiaDB IT Park

Employment Type : Full-time

Relevant Experience : 8 - 10 Years

Reports To : Principal Systems Architect

Team Scope : Technical lead for a pod of 4 - 5 AI Engineers

About PENN Engineering :

PENN Engineering offers innovative fastening solutions for a variety of applications across industries like Automotive Electronics, Consumer Electronics, Datacom and more.

Job Summary :

As PennEngineering accelerates its Speed of Now transformation, we are seeking a Senior AI Engineer (Tech Lead) who can build an internal capability to design, develop and deploy AI-powered workflows, automation and agentic solutions that improve speed, consistency and quality across the business. This is a player-coach role : roughly 70% hands-on architecture, design and code, and 30% leading the delivery cadence of a high-performing pod of 4-5 AI Engineers.

Key Responsibilities :

- Lead the AI architecture for the agentic platform, covering orchestration, memory, tools, and evaluation.

- Lead the technical design of complex, multi-agent systems involving planning, delegation, parallelism and dynamic tool selection.

- Establish engineering standards for prompt management, agent versioning, evaluation harnesses, and production observability.

- Design scalable backend systems and service architectures that support AI workloads including asynchronous processing, event-driven architectures, and stateful orchestration.

- Own the delivery cadence for the AI engineering pod and act as the team Scrum lead.

- Establish observability standards : structured logging of agent reasoning traces, token usage tracking, latency profiling, cost attribution, and quality drift detection.

- Technically lead a high-performing pod of 4-5 AI Engineers and Associate AI Engineers, setting direction, distributing work to stretch individual strengths, and holding the bar on quality.

Required Qualifications :

- Bachelor's degree in Computer Science, Engineering, or a related technical field; advanced degree a plus.

- 8-10 years of overall software engineering experience, with at least 3 years focused on AI/LLM application development and 1+ years designing multi-agent or complex agentic systems.

- 3+ years leading engineering teams or squads in a technical lead capacity.

- Deep expertise in Python and strong proficiency in at least one additional language (TypeScript/Node.js, Java, or Go).

- Advanced experience with agentic frameworks : LangGraph, CrewAI, AutoGen, AWS Bedrock Agents or custom orchestration.

- Production-grade experience with RAG systems at scale : advanced retrieval strategies, hybrid search, re-ranking pipelines, evaluation, and knowledge base maintenance.

- Hands-on infrastructure engineering experience : Terraform or AWS CDK, CI/CD pipeline design, container orchestration (ECS or EKS), and IAM/security configuration on AWS.

- Deep, hands-on experience with AI-assisted coding tools (Cursor, Claude Code, Amazon Kiro, or similar).