Cogent AI Architect

Description :

Key Responsibilities :

Software AI Architecture & Design :

- Lead the end-to-end design of CogentAIs multi-layer architecture (Agentic, Optimization, Data), ensuring scalability, observability, and compliance.

- Define and evolve architectural blueprints for agent orchestration, RAG, memory, and secure connector frameworks.

- Balance model-centric intelligence (RAG, fine-tuning) with system-level performance (low-latency pipelines, caching, async I/O).

Engineering Excellence :

- Establish and enforce best practices in code structure, documentation, testing, and CI/CD for a multi-language stack (Python, Rust, Node.js, React, FastAPI).

- Lead by example through high-quality contributions to core modules-streaming, telemetry, or orchestration.

- Promote and practice vibe coding : collaborative, efficient, and thoughtful engineering that blends creativity with discipline.

Leadership & Mentorship :

- Mentor AI, backend, and front-end engineers to grow into cross-functional product developers.

- Conduct design and code reviews with a focus on security, maintainability, and performance.

- Collaborate with product and domain leads to translate business goals into technical execution plans.

Performance, Scale & Security :

- Ensure every release meets targets for latency, reliability, and resource efficiency.

- Drive secure-by-design principles-zero-trust, role-based access, and audit-ready observability.

- Guide optimization of model I/O, data persistence, and cloud/on-prem deployment efficiency.

Innovation :

- Stay ahead of the evolving Agentic AI ecosystem (LangGraph, LangChain, fine-tuning methods, hybrid model routing).

- Experiment with smaller OSS LLMs, fine-tuning, and micro-agent orchestration strategies for air-gapped and sovereign deployments.

Ideal Profile :

Experience :

- 8-15 years in software engineering or architecture, with 3+ years in applied AI, LLM, or agentic system development.

- Proven record of product delivery at scale-systems that perform securely under enterprise workloads.

- Experience leading technical teams or architecting products with distributed components (APIs, message queues, async workflows).

Technical Skills :

- Deep proficiency in Python, FastAPI, and Node.js; strong grasp of modern React/Next.js.

- Familiarity with LangChain, LangGraph, or similar orchestration frameworks.

- Working knowledge of MongoDB, Redis, and RDBMS (MySQL/PostgreSQL/Oracle).

- Understanding of RAG pipelines, prompt optimization, and fine-tuning (LoRA/PEFT) approaches.

- Exposure to observability stacks (Prometheus, Grafana, Langfuse).

- Strong grounding in security, RBAC, and data governance practices.

Mindset :

- Product-builder mentality : enjoys architecting systems that ship and scale, not just prototypes.

- Passion for mentoring teams and building engineering culture.

- Thrives in high-context, fast-moving environments.

- Intellectually curious-stays current with LLM research, cloud infra, and distributed systems.

What Youll Build :

- A modular agentic framework that enterprises can trust with their most critical data.

- A system that merges AI reasoning with auditable enterprise control.