AbleCredit

Job Description: Forward Deployed Engineer (FDE)

Experience: 2–6 years

Salary: 20-35 LPA

Performance Bonus: Up to 10% of the base salary

Location: Bangalore, India

About AbleCredit : 

AbleCredit has built a foundational AI platform to help BFSI enterprises reduce OPEX by up to 70% by powering workflows for onboarding, claims, credit, and collections. Our GenAI model achieves over 95% accuracy in understanding Indian dialects and excels in financial analysis.

The company was founded in June 2023 by Utkarsh Apoorva (IIT Delhi, built Reshamandi, Guitarstreet, Edulabs); Harshad Saykhedkar (IITB, ex-AI Lead at Slack); and Ashwini Prabhu (IIML, co-founder of Mythiksha, ex-Product Head at Reshamandi, HandyTrain).

Role Overview

Forward Deployed Engineers (FDEs) at AbleCredit are elite, full-stack problem solvers who operate where cutting-edge AI meets real-world enterprise challenges. This is not a typical engineering role—you will architect and deploy solutions that transform how some of India’s largest Banks and NBFCs make decisions, run operations, and serve millions of customers.

As an FDE, you will work at the frontline of value creation, collaborating directly with CXOs, credit heads, operations leaders, and on-ground teams. You will deeply understand their workflows, tear down decades-old processes, and rebuild them using AI-driven automation across voice, vision, and language. 

You will be the engineer who solves problems that have never been solved before—thinking from first principles, crafting novel technical approaches, and shipping production systems that create measurable impact on enterprise P&Ls within weeks, not months.

Why This Role Is Special

• You will design solutions that no one else in the industry has built yet.
• Your work will go live in frontline enterprise processes used thousands of times per day.
• You’ll operate with the creativity of a startup engineer and the influence of a consulting architect.
• You’ll build the next generation of enterprise AI workflows—hands-on, end-to-end.
• You will grow faster here than in any traditional engineering or consulting role.

What You’ll Do

• Partner directly with enterprise customers to design and deploy AI systems that automate workflows in underwriting, risk, operations, and collections.
• Own end-to-end technical delivery: scoping, architecture, integrations, workflow orchestration, debugging, optimization, and customization.
• Solve messy, high-impact engineering problems inside mission-critical enterprise systems—often inventing new approaches on the fly.
• Build production-grade AI pipelines using voice, vision, and language models tailored to each client’s environment by stitching AbleCredit AI nodes and capabilities in a workflow.
• Work side-by-side with customer teams, understanding granular workflow details and reimagining them using AI and software automation.
• Ship fast, iterate fast, and see your work go live in days—not quarters.
• Influence the product roadmap by identifying patterns across deployments and building reusable modules that accelerate future implementations.
• Become a hybrid engineer who writes code, designs workflows, thinks in systems, and collaborates directly with business stakeholders.

What Skills You Should Have

• Strong engineering fundamentals with the ability to design, build, and debug production systems end-to-end.
• Hands-on experience working with AI-powered workflows—LLMs, OCR/vision models, speech systems, or retrieval pipelines.
• Ability to break down ambiguous, first-principles problems into clear, executable technical solutions.
• Comfort integrating with enterprise systems (APIs, databases, authentication, workflow tools) and navigating messy real-world environments.
• Excellent communication and customer-facing skills to work directly with enterprise stakeholders and translate needs into engineered outcomes.
• High ownership mindset with a bias for rapid execution, iteration, and shipping solutions that deliver real business impact.
• Strong workflow thinking—can model processes, identify bottlenecks, and orchestrate AI + software components seamlessly.
• Adaptability and resilience in fast-changing, high-stakes environments where requirements evolve and solutions must scale quickly.

What You Should Have Done in the Past

• Built and shipped production-ready systems in fast-paced environments, ideally taking features or products from zero to launch end-to-end.
• Worked on AI-driven workflows such as chatbots, OCR/vision automation, speech systems, LLM-based tools, or data processing pipelines.
• Integrated software with real-world enterprise systems—APIs, legacy databases, authentication layers, workflow engines, or internal IT stacks.
• Solved ambiguous, high-impact engineering problems where requirements were unclear and solutions required first-principles thinking.
• Worked directly with customers, product teams, or business stakeholders to understand workflows, gather requirements, and deliver solutions.
• Debugged and optimized complex systems in production environments, especially where uptime and accuracy mattered.
• Led or contributed major components in projects involving workflow orchestration, automation, or large-scale process redesign.