Senior Software Engineer

We are hiring a Senior Software Engineer a fully remote, contract-to-hire basis

The Challenge

A global management consulting firm is scaling its engineering arm to capture end-to-end implementation revenue and build technical credibility with Fortune 500 clients. Strategy alone is no longer enough. Consulting teams are recommending digital transformation initiatives without the engineering depth to assess technical feasibility, infrastructure limits, or architectural complexity. Unviable recommendations are reaching clients before anyone flags them. Projects are failing at scoping. Poor technical estimates, undefined deliverables, and unmitigated risks are causing runaway scope before contracts are signed. Clients are struggling to hold external software vendors accountable. There is no internal engineering authority to validate code quality, set technical KPIs, or translate between business stakeholders and delivery teams. Consultants are losing thousands of billable hours to manual data crunching, repetitive spreadsheet builds, and slide deck production. Internal automation tooling does not exist at the scale the firm needs. The firm is advising clients on Generative AI while lacking the internal guardrails to deploy it safely. Proprietary client data is at risk without secure, private LLM architecture backing internal productivity tools. Junior engineers are churning due to the absence of structured technical mentorship and engineering process maturity. The firm is losing its ability to build a sustainable technical talent pipeline.

Why Apply To This Role

• Contract-to-hire engagement with conversion eligibility reviewed at the 6-month mark
• You will operate at the intersection of engineering and consulting delivery, building client-facing credibility and internal tooling impact simultaneously
• The scope spans GenAI application development, data science platforms, cloud infrastructure, and client advisory, a rare full-stack consulting engineering remit
• Remote engagement from Singapore with an immediate to 30-day onboarding window

Required Stack

Backend:

• Python (FastAPI)
• Celery, Redis

Frontend:

• React, Next.js
• Tailwind CSS

AI and GenAI:

• LangChain, LangSmith
• Private LLM architecture and secure GenAI deployment

Data and Databases:

• PostgreSQL with pgvector
• MongoDB
• Snowflake, Databricks

Data Science:

• Python, R

Cloud:

• AWS, Azure, GCP

IaC and DevOps:

• Terraform
• Docker, Kubernetes
• GitLab

Security:

• HashiCorp Vault
• HashiCorp Terraform for secure ML engine architecture

What We Need

• 5 or more years of hands-on software engineering experience across backend, data, and cloud domains
• Strong Python proficiency, specifically with FastAPI for backend application development
• Hands-on experience building and deploying LLM-powered applications using LangChain or equivalent frameworks
• Frontend capability in React and Next.js for full-stack delivery contexts
• Experience with vector databases and embedding pipelines using PostgreSQL with pgvector or equivalent
• Working knowledge of Snowflake or Databricks for data science and analytics engineering workloads
• Cloud deployment experience across at least one of AWS, Azure, or GCP using Terraform, Docker, and Kubernetes
• Demonstrated ability to operate in client-facing environments, translating between technical and business stakeholders
• AWS Certified Solutions Architect, Google Professional Cloud Architect, or Azure Solutions Architect Expert preferred
• Databricks Certified Associate Developer or Snowflake SnowPro Core preferred
• LangChain or equivalent GenAI framework certification preferred where available