AI Product Engineer
Uplers · India
- Hybrid
- Full-time
- ₹3,500,000 / year
- India
Job highlights
- Build autonomous AI agents for software security.
- Design production-grade agentic systems at scale.
- Integrate AI agents with enterprise security stacks.
- Focus on agent reliability, safety, and observability.
- Remote, full-time position with competitive salary.
About the role
AI Product Engineer at CognitivTrust (via Uplers)
CognitivTrust is seeking an AI Engineer to design and build fully autonomous agents for their security platform. This role focuses on creating production-grade agentic systems that analyze code, identify vulnerabilities, and orchestrate remediation without human intervention. You will be instrumental in building the security infrastructure layer for the Agentic SDLC era, ensuring safety and speed in AI-driven software development.
What You'll Do:
- Design and implement autonomous agents for security analysis, threat modeling, and remediation.
- Build multi-agent orchestration systems with configurable autonomy levels.
- Develop agent runtime infrastructure including memory, planning, and tool use.
- Create evaluation frameworks to measure agent reliability and safety.
- Integrate agents with MCP (Model Context Protocol) for seamless tool connectivity.
- Ship production systems that run unsupervised in enterprise environments.
What You Bring:
Core Engineering:
- Strong software engineering fundamentals, particularly in Python and distributed systems.
- Experience building and deploying production systems at scale.
- Deep understanding of agent architectures (ReAct, tool use, planning, reflection).
Enterprise Agent Experience:
- Proven experience building and deploying autonomous agents in enterprise production environments.
- Implemented end-to-end agentic workflows with minimal human oversight.
- Designed agents that integrate with enterprise systems (APIs, databases, SaaS platforms) handling authentication, rate limits, and failure recovery.
- Experience with agent observability (logging, tracing, debugging autonomous systems).
- Built human-in-the-loop checkpoints and escalation paths for critical agent decisions.
Agentic Systems Design:
- Hands-on experience designing multi-agent systems with clear task decomposition and coordination.
- Implemented configurable autonomy levels.
- Built evaluation and testing frameworks for non-deterministic agent behavior.
- Experience with agent memory systems (short-term context, long-term knowledge, retrieval).
- Familiarity with agent frameworks (LangGraph, CrewAI, AutoGen) or custom orchestration layers.
Bonus Points:
- Security domain knowledge (AppSec, DevSecOps, vulnerability management).
- Experience with MCP or similar agent-tool protocols.
- Background in enterprise software or B2B SaaS.
What Sets You Apart:
- You've built agents that run autonomously in production for weeks.
- You think in systems: reliability, observability, failure modes, edge cases.
- You are obsessed with evaluation and understand the limitations of 'vibes-based' testing.
- You understand enterprise requirements like auditability, compliance, and minimizing surprises.
- You ship fast and iterate based on real-world feedback.
Key Skills/Competency:
- Agentic AI
- Agentic AI Workflows
- CyberSecurity
- DevSecOps
- AppSec
- Python
- Distributed Systems
- Agent Architectures
- CrewAI
- LangChain
Skills & topics
- AI Engineer
- Product Engineer
- Agentic AI
- DevSecOps
- CyberSecurity
- Python
- Distributed Systems
- Autonomous Agents
- Production Systems
- Software Engineering
How to get hired
- Apply via Uplers: Click 'Apply' on the Uplers portal and complete registration.
- Complete Screening: Fill out the screening form and upload your updated resume.
- Tailor Your Resume: Highlight experience in Agentic AI, DevSecOps, and Python.
- Prepare for Client Interview: Showcase your ability to build production-grade autonomous agents.
- Understand CognitivTrust: Research their mission in AI security infrastructure for the Agentic SDLC era.
Technical preparation
Master Python for distributed systems.,Build and deploy scalable production agents.,Understand agent architectures deeply.,Practice integrating with enterprise APIs.
Behavioral questions
Describe a complex agent system you built.,How do you ensure agent reliability in production?,Share an experience debugging autonomous systems.,How do you evaluate agent performance rigorously?
Frequently asked questions
- What is the primary focus of the AI Product Engineer role at CognitivTrust?
- The AI Product Engineer role at CognitivTrust focuses on designing and building fully autonomous AI agents to create the security infrastructure layer for the Agentic SDLC era. This involves developing systems that can analyze code, identify vulnerabilities, and orchestrate remediation without human intervention.
- What technical skills are essential for this AI Product Engineer position?
- Essential technical skills include strong software engineering fundamentals in Python and distributed systems, experience with building and deploying production systems at scale, and a deep understanding of agent architectures like ReAct. Familiarity with agent frameworks such as LangGraph, CrewAI, or AutoGen is also highly valued.
- Does this AI Product Engineer role require prior cybersecurity experience?
- While not strictly mandatory, security domain knowledge in AppSec, DevSecOps, and vulnerability management is considered a bonus and can set candidates apart. The role itself is about applying AI to enhance security processes in software development.
- What does CognitivTrust mean by 'Agentic SDLC era' for this AI Product Engineer role?
- The 'Agentic SDLC era' refers to a future where AI agents play a significant role in the Software Development Life Cycle. CognitivTrust is building the security infrastructure to ensure this AI-driven development process is safe and efficient, allowing for AI speed in shipping software.
- Is this AI Product Engineer position remote, and what is the notice period expectation?
- Yes, this AI Product Engineer position is a remote, full-time permanent role. The expected notice period is 15 days, and the working hours are aligned with IST (GMT+05:30).
- How is the salary structured for the AI Product Engineer role?
- The salary for the AI Product Engineer role ranges from INR 2,000,000 to INR 3,500,000 per year, and will be determined based on the candidate's experience and qualifications.
- Who is CognitivTrust, and what is their mission?
- CognitivTrust is building the security infrastructure layer for the Agentic SDLC era. Their mission is to create a platform that makes it safe to ship software at AI speed by providing real-time security context where code is generated, sitting between AI coding tools and enterprise security stacks.
- What distinguishes an ideal candidate for the AI Product Engineer role at CognitivTrust?
- An ideal candidate has successfully deployed autonomous agents in production for extended periods (weeks, not hours), thinks systematically about reliability and failure modes, is data-driven in their evaluation approach, understands enterprise compliance needs, and is adept at shipping quickly and iterating based on feedback.