Senior / Lead Forward Deployed Engineer (FDE) - Cogentiq Platform

Fractal; Bengaluru; On-site; INR 1,000,000 - 2,500,000; Full time

Job summary

Fractal is seeking Forward Deployed Engineers (FDEs) for its Enterprise AI platform, Cogentiq. As part of the founding team, you will work with customers to develop and deploy AI-powered solutions, participate in platform evolution, and solve complex enterprise challenges.

The ideal candidate will have strong software engineering skills, be proficient in Python, and have experience with enterprise integrations and cloud-native applications. Join us at Fractal and influence the future of enterprise AI.

Qualifications

• Strong software engineering background with Python.
• Hands-on experience building AI-powered applications.
• Experience integrating enterprise applications.

Responsibilities

• Design and develop production-grade AI applications.
• Deploy AI solutions from proof of concept to production.
• Collaborate with customer teams to deliver AI solutions.

Skills

Proficiency in Python

Experience in Java or TypeScript

Experience with Large Language Models

Familiarity with enterprise applications (SAP, Salesforce)

Cloud-native application development

Tools

Docker

Kubernetes

SQL

REST APIs

GraphQL

Job description

About Cogentiq

Cogentiq is Fractal's Enterprise AI platform that enables organizations to build, deploy, and govern intelligent AI agents grounded in enterprise context. By connecting AI with enterprise knowledge, business systems, and workflows, Cogentiq empowers enterprises to solve complex business problems with trustworthy, scalable, and production‑ready AI. Cogentiq is Fractal’s secure, scalable, enterprise agentic AI platform that enables teams to build, test, deploy, monitor agents and multi‑agent workflows with strong observability, evaluation, guardrails and RBAC across any cloud or LLM framework. It includes a no/low‑code development console, Agent & MCP Gateways, and an enterprise marketplace for reusable agents, tools, connections and guardrails.

About the Role

We are looking for Forward Deployed Engineers (FDEs) to join the founding Cogentiq team. As an FDE, you will work at the intersection of software engineering, AI, enterprise integration, and customer success. You will partner closely with enterprise customers to understand their business challenges, design AI‑powered solutions, build production‑grade integrations, and deploy Cogentiq into complex enterprise environments. Beyond customer implementations, you'll help shape the evolution of the Cogentiq platform by transforming deployment learnings into reusable platform capabilities, connectors, and best practices. This role is ideal for engineers who enjoy solving ambiguous, real‑world problems, thrive in fast‑paced environments, and are excited to build the next generation of Enterprise AI.

What You’ll Do

• Design and develop production‑grade AI applications using the Cogentiq platform.
• Deploy enterprise AI solutions from proof of concept to production.
• Build integrations with enterprise applications such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks, and other business systems.
• Develop reusable connectors, APIs, SDKs, MCP servers, and automation components.
• Design secure, scalable, cloud‑native architectures and build reliable backend services and microservices.
• Collaborate directly with customer engineering and business teams to understand requirements, conduct technical workshops, and deliver successful AI solutions.
• Troubleshoot production deployments, optimize system performance, and ensure reliability and security.
• Capture learnings from customer deployments and contribute reusable capabilities back to the Cogentiq platform.
• Work closely with AI engineers, platform engineers, product managers, and solution architects to continuously improve the platform.

What We’re Looking For

• Strong Software Engineering: Proficient in Python, with experience in Java or TypeScript being a plus. Built production‑grade backend applications, REST APIs, microservices, and distributed systems.
• AI Engineering: Hands‑on experience building AI‑powered applications using Large Language Models (LLMs), Agentic AI frameworks, Retrieval‑Augmented Generation (RAG), tool calling, prompt engineering, and AI evaluation techniques. Experience with the Model Context Protocol (MCP) and modern AI orchestration frameworks is highly desirable.
• Enterprise Integration: Experience integrating enterprise applications and platforms such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks, and other business systems. Knowledge of enterprise integration patterns, API‑first architectures, authentication mechanisms such as OAuth, JWT, and SAML, and comfortable working with SQL, REST, and GraphQL APIs.
• Cloud & Platform Engineering: Experience building and deploying cloud‑native applications on Azure, AWS, or Google Cloud using Docker and Kubernetes. Understand CI/CD pipelines, event‑driven architectures, messaging platforms, observability, monitoring, and security best practices required to build reliable enterprise platforms.
• Customer & Product Mindset: Work directly with customers to understand their business challenges and translate them into elegant technical solutions. Communicate effectively with both technical and business stakeholders, lead architecture discussions, and conduct technical workshops. Own outcomes, prototype rapidly, and continuously look for opportunities to transform customer‑specific solutions into reusable platform capabilities.

Why Join Cogentiq?

Join the founding engineering team building Fractal's flagship Enterprise AI platform. Work on cutting‑edge technologies including Generative AI, Agentic AI, Enterprise Context, Model Context Protocol (MCP), Knowledge Graphs, and AI Governance. Solve complex enterprise challenges for leading organizations, influence both customer success and the future direction of the Cogentiq platform, and build reusable capabilities that will power enterprise AI deployments across industries. Collaborate with a team passionate about redefining how enterprises adopt and scale AI.

Our Ideal Candidate

We’re looking for engineers who enjoy solving real customer problems, not just implementing predefined tickets. You should be equally comfortable writing production‑grade code, designing enterprise integrations, collaborating with customer teams, and shaping the future of the Cogentiq platform. If you're excited about building enterprise‑grade AI systems that create meaningful business impact, we'd love to hear from you. If you like wild growth and working with happy, enthusiastic over‑achievers, you'll enjoy your career with us!