Software Engineer
eClerx
- Pay
- $75K to $115K
- a year
- Location
- New York, NY
- Work style
- Hybrid
- Job type
- Full time
- Posted
- Oct 16
- 6 days ago
Career path
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About the company
eClerx
Information technology and services · 10,001+ employees
eClerx is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business results. The firm provides business process management, automation, and analytics services to a number of Fortune 2000 enterprises, including some of the world’s leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies. Incorporated in 2000, eClerx is traded on both the Bombay and National Stock Exchanges of India. The firm employs more than 19,000 people across Australia, Canada, France, Germany, Switzerland, Egypt. India, Italy, Netherlands, Peru, Philippines, Singapore, Thailand, the UK, and the USA.
What you'll do
- 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.
- Bachelor's or master's degree in computer science or software engineering.
- 0–3 years of full-time experience building software products for customers or internal business users.
- 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. Client-facing experience is welcome but not required.
- 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.
What you need
- Bachelor's or master's degree in computer science or software engineering
- 0–3 years of full-time experience building software products for customers or internal business users
- 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
- Ability to test AI outputs against requirements and identify failure modes
- Practical AWS experience and the ability to learn GCP or Azure
- Familiarity with Docker and DevOps practices (preferred)
Key skills
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