
Generative AI Engineer
3 days ago
AI Engineer – Platform & Agent Development
Location:
Hybrid (US / India Preferred) | Full-Time
Company:
CogentAI – Backed by Codenatives
Are you passionate about building AI systems that don't just talk — but act, reason, and deliver results?
At
CogentAI
, we're building a secure, enterprise-grade platform that transforms real business data and workflows into intelligent, modular agents. These are not generic chatbots — they're reusable decision frameworks embedded into the enterprise fabric.
We're looking for a hands-on
AI Engineer
to help us scale our core platform and rapidly evolving agent stack. You'll work on systems that combine structured and unstructured data, dynamic context handling, and real-world decision logic — all while respecting the rigorous demands of enterprise-grade deployments.
What You'll Do
- Build and enhance modular AI agents tailored for real business use cases
- Work across the entire lifecycle: design, test, deploy, and optimize
- Collaborate with product, data, and engineering teams to craft context-aware agent experiences
- Continuously improve how agents reason, recall, respond, and learn
- Contribute to our internal best practices around observability, efficiency, and scale
You Might Be a Fit If You…
- Have experience applying LLMs or NLP frameworks in a production setting
- Enjoy abstracting intelligence into reusable units or service components
- Think deeply about how memory, retrieval, and user roles shape intelligent systems
- Value clean, explainable logic over black-box experiments
- Are excited to work in a fast-moving startup with enterprise DNA
What We Offer
- A chance to shape the foundations of an agentic AI platform with real customer traction
- Collaborative, high-trust team culture across US, UK, and India
- The backing of an established services firm (Codenatives) + the speed of a product startup
- Flexible work hours and location, as long as ownership is consistent
- A front-row seat to building enterprise AI, the right way
This isn't just another ML pipeline job.
It's a role for builders — engineers who want to design intelligence, not just wire APIs.
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