Senior AI Engineer - Tech Lead
First seen by Alion on Nov 13, 2026.
PennEngineering
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).
Skills
Artificial Intelligence, Machine Learning, Python, Agentic AI, Generative AI, LLM, Scrum