Software Engineer

About the Role

Help the eClerx US AI Organization build and deploy AI-enabled software for clients in financial services and other industries. Working with experienced engineers, domain specialists, and the product team, you will build agentic workflows and full-stack features, test them against real requirements, and help move promising demonstrations and MVPs into deployable software. This is an early-career role with room to develop your engineering judgment.

Key Responsibilities

• Build and improve agentic workflows, prototypes, application features, and APIs.
• Implement authentication, authorization, secure configuration, and data integrations.
• Test outputs and features against real requirements, investigate problems, and explain your findings.
• Improve testing, logs, monitoring, and deployment, primarily on AWS and sometimes on GCP or Azure.
• Contribute to work involving enterprise data platforms such as Databricks or Snowflake.
• Learn from senior engineers and solution builders, and document changes for ongoing product ownership.
• Follow developments in AI and in the industries you serve.

Requirements & Tech Stack

• Bachelor's or master's degree in computer science or software engineering.
• Proficiency in Python (or a comparable language), including writing, testing, and debugging code.
• Experience with REST APIs, SQL, structured and unstructured data, and Git.
• Hands-on experience building LLM-based applications or agentic workflows, through projects, internships, or work.
• Ability to test AI outputs against requirements and identify failure modes.
• Practical AWS experience and the ability to learn GCP or Azure.
• An instinct to consider access, credentials, security, and reliability when designing a feature.
• A proactive approach: you raise questions, flag issues early, and look for ways to improve the work without waiting to be asked.
• Clear communication, collaboration, and ability to learn unfamiliar systems.

Qualifications

• Familiarity with Docker and DevOps practices, including CI/CD pipelines, environments, and release processes.
• Familiarity with fine-tuning models and with up-to-date AI models and their capabilities.
• Exposure to Databricks, Snowflake, or a comparable platform.
• Startup or early-stage product experience.
• Exposure to financial services, including financial crime and compliance (FCC), know your customer (KYC), or anti-money laundering (AML); or to communications, media, telecommunications, finance and accounting industries.
• Publications in top journals, teaching or mentoring experience, or open source contributions.