Job description

Senior Software Engineer Location: New York Type: Full-time, Hybrid Job Summary Join the eClerx US AI Organization to build and deploy AI-enabled software for clients in financial services and other industries. You will design agentic workflows, turn successful demonstrations and MVPs into production-ready software, and build what large organizations need to see before rollout: secure identity and access, protected credentials, dependable integrations, observable operations, and a clear deployment path. You will own the engineering work from build through handoff to an industry specific product team. Once you are integrated into the team, there will be client-facing work and opportunities depending on your team placement, including discovery sessions, technical presentations, and solution design with client stakeholders Responsibilities • Design, build, and evaluate agentic workflows and integrations, and move strong demonstrations toward production. • Assess demos and MVPs against client deployment requirements, then lead the full-stack work to close the gaps, including features, APIs, user workflows, and integrations with enterprise data environments. • Design production architecture for resilience, covering retries, idempotency, queues, failure isolation, and scaling, and run performance and load testing with cost in mind. • Build in identity and security from the start: SSO with the client's identity provider (SAML or OIDC), OAuth2, role- or attribute-based access control, secrets management, privacy, auditability, and data handling. • Own infrastructure as code and CI/CD, including environment promotion, containers, and repeatable deployments. • Build observability: structured logging, metrics, tracing, alerting, and runbooks. • Coordinate with domain specialists, solution builders, and the product team, documenting decisions for an operational handoff. • Guide junior engineers to choose optimal solutions while following industry guidelines. • Stay current with developments in AI and in the industries you serve. Eligibility Requirements • Bachelor's or master's degree in computer science or software engineering. • 5–8 years of full-stack engineering experience and evidence of products reaching real customers. • Proficiency in Python (or a comparable language) and at least one modern backend stack. • Hands-on experience building agentic workflows, including tool use, orchestration, multi-step reasoning, and human-in-the-loop review. • Practical AI application experience, including evaluation and an understanding of failure modes. • Depth in AWS, the ability to work in GCP and Azure, and experience with Databricks, Snowflake, or a comparable data platform. • Experience taking early software to production, including identity, credentials, security, deployment, and reliability. • Experience guiding junior engineers through design decisions and code review. • Judgment about security and compliance controls in regulated and enterprise environments; high agency, proactive problem solving, and clear cross-team communication. Preferred 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. • Experience supporting a client security audit or penetration test. • Client-facing experience, including technical discovery or presentation. • 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. • Startup or early-stage product experience. • Publications in top journals, teaching or mentoring experience, or open source contributions. In the US, the target base salary for this role is $150,000-$200,000. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors About eClerx 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. For more information, visit www.eclerx.com You can also find us on: linkedin.com indeed.com glassdoor.com eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. We are also committed to protecting and safeguarding your personal data. Please find our policy here

Requirements

Must-haves

Senior Software Engineer
Location: New York
Type: Full-time, Hybrid
Design, build, and evaluate agentic workflows and integrations, and move strong demonstrations toward production.
Assess demos and MVPs against client deployment requirements, then lead the full-stack work to close the gaps, including features, APIs, user workflows, and integrations with enterprise data environments.
Design production architecture for resilience, covering retries, idempotency, queues, failure isolation, and scaling, and run performance and load testing with cost in mind.
Build in identity and security from the start: SSO with the client's identity provider (SAML or OIDC), OAuth2, role- or attribute-based access control, secrets management, privacy, auditability, and data handling.
Own infrastructure as code and CI/CD, including environment promotion, containers, and repeatable deployments.
Build observability: structured logging, metrics, tracing, alerting, and runbooks.
Coordinate with domain specialists, solution builders, and the product team, documenting decisions for an operational handoff.
Guide junior engineers to choose optimal solutions while following industry guidelines.
Stay current with developments in AI and in the industries you serve.
Eligibility Requirements
Bachelor's or master's degree in computer science or software engineering.
5–8 years of full-stack engineering experience and evidence of products reaching real customers.
Proficiency in Python (or a comparable language) and at least one modern backend stack.
Hands-on experience building agentic workflows, including tool use, orchestration, multi-step reasoning, and human-in-the-loop review.
Practical AI application experience, including evaluation and an understanding of failure modes.

Nice-to-haves

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.
Experience supporting a client security audit or penetration test.
Client-facing experience, including technical discovery or presentation.
Startup or early-stage product experience.
Publications in top journals, teaching or mentoring experience, or open source contributions.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdpythonawsgcpazuredocker

Platform: oracle-cloud
Effort: medium