Forward Deployed Engineer

Finkraft; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Benefits offered by this job

Exposure to GST/VAT

Data integration experience in travel/

AI in data workflows

Job summary

Finkraft is seeking a hands-on software engineer who sits between our platform and enterprise clients. You will build ingestion, parsing, and integrations to turn diverse invoice and booking data into reconciled, compliant output.

You will speak with client IT and finance teams in the morning and be coding in the afternoon, shipping to production. This role involves onboarding new clients end-to-end, creating bespoke pipelines, and collaborating with delivery and success teams to resolve issues

Qualifications

• 3–7 years in software engineering with client-facing or deployment focus.
• Strong Python; proficient in SQL, APIs, and data pipelines.
• Experience building ingestion or ETL for messy third-party data.
• Ability to discuss technical topics with engineers and finance teams in the same meeting.
• Comfort with ambiguity and rapid feedback; shipping without a spec.
• Demonstrated use of AI tools (LLMs, copilots) in engineering workflows.

Responsibilities

• Own technical onboarding for new enterprise clients end-to-end: data discovery, mapping, ingestion, validation, and go-live.
• Build client-specific ingestion pipelines, parsers, and transformations for varied invoice, booking, and GST data formats.
• Integrate with client and partner systems — TMC feeds, ERP exports, SFTP drops, APIs, and government portals.
• Debug and resolve data-quality and pipeline failures in live accounts, from root cause to fix.
• Work directly with client IT, finance, and tax teams to translate ambiguous requirements into working systems.
• Feed recurring client-specific work back into the core product — generalise what repeats, so the next onboarding is faster.
• Partner with Delivery Ops and Customer Success on escalations that turn out to be technical.

Skills

Python

SQL

APIs

Data pipelines

ETL

Client-facing

AI tools

Job description

Finkraft.ai is the invoice-first control layer for global corporate travel, operating at the intersection of travel, fintech, and tax compliance (GST/VAT). We process invoice data at scale for over 100 Fortune-500 clients, enabling reconciliation, compliance, payments, and financial optimisation. As we scale from approximately $2M ARR toward $10M+ and expand into the GCC, we are strengthening our leadership team with a critical post-sales hire.

About the role

You sit between our platform and our clients’ systems, and you write the code that connects them. Every enterprise client arrives with a different shape of data — a TMC extract, an ERP export, an airline portal, a hotel chain’s billing system — and none of it matches the last one. You own making it work: building the ingestion, the parsing, and the integrations that turn a client’s raw invoice and booking data into reconciled, compliant output.

This is a hands-on engineering role with direct client exposure. You will be on calls with a client’s IT and finance teams in the morning and in the codebase in the afternoon. You ship to production.

Key responsibilities

• Own technical onboarding for new enterprise clients end-to-end: data discovery, mapping, ingestion, validation, and go-live
  
• Build client-specific ingestion pipelines, parsers, and transformations for varied invoice, booking, and GST data formats
  
• Integrate with client and partner systems — TMC feeds, ERP exports, SFTP drops, APIs, and government portals
  
• Debug and resolve data-quality and pipeline failures in live accounts, from root cause to fix
  
• Work directly with client IT, finance, and tax teams to translate ambiguous requirements into working systems
  
• Feed recurring client-specific work back into the core product — generalise what repeats, so the next onboarding is faster
  
• Partner with Delivery Ops and Customer Success on escalations that turn out to be technical

About Finkraft

Finkraft.ai is the invoice-first control layer for global corporate travel, operating at the intersection of travel, fintech, and tax compliance (GST/VAT). We process invoice data at scale for over 100 Fortune-500 clients, enabling reconciliation, compliance, payments, and financial optimisation. As we scale from approximately $2M ARR toward $10M+ and expand into the GCC, we are strengthening our leadership team with a critical post-sales hire.

About the role

You sit between our platform and our clients’ systems, and you write the code that connects them. Every enterprise client arrives with a different shape of data — a TMC extract, an ERP export, an airline portal, a hotel chain’s billing system — and none of it matches the last one. You own making it work: building the ingestion, the parsing, and the integrations that turn a client’s raw invoice and booking data into reconciled, compliant output.

This is a hands-on engineering role with direct client exposure. You will be on calls with a client’s IT and finance teams in the morning and in the codebase in the afternoon. You ship to production.

Key responsibilities

• Own technical onboarding for new enterprise clients end-to-end: data discovery, mapping, ingestion, validation, and go-live
  
• Build client-specific ingestion pipelines, parsers, and transformations for varied invoice, booking, and GST data formats
  
• Integrate with client and partner systems — TMC feeds, ERP exports, SFTP drops, APIs, and government portals
  
• Debug and resolve data-quality and pipeline failures in live accounts, from root cause to fix
  
• Work directly with client IT, finance, and tax teams to translate ambiguous requirements into working systems
  
• Feed recurring client-specific work back into the core product — generalise what repeats, so the next onboarding is faster
  
• Partner with Delivery Ops and Customer Success on escalations that turn out to be technical

Requirements

Candidate profile

• 3–7 years in software engineering, with meaningful time in a client-facing or deployment-focused role (FDE, solutions engineering, implementation engineering, or integration engineering)
  
• Strong Python; comfortable with SQL, APIs, and data pipeline work
  
• Experience building ingestion or ETL for messy, inconsistent third-party data
  
• Can hold a technical conversation with a client’s engineering team and a plain-language one with their finance team, in the same meeting
  
• Comfortable with ambiguity and short feedback loops — you scope, build, and ship without waiting for a spec
  
• Demonstrated use of AI tools (LLMs, copilots) in engineering and data workflows
  

Benefits

Strong advantages

• Exposure to GST/VAT or indirect tax systems, e-invoicing (IRN/IRP), or GSTR reconciliation
• Travel/TMC, airline, or hotel data experience
• Web scraping and automation at scale, including portal-based data retrieval
• Experience being the first or earliest FDE at a company — building the onboarding playbook, not following one