Senior AI Engineer — Production-Ready, Enterprise-Scale

eClerx LLC; New York (NY); Hybrid; USD 150,000 - 200,000; Full time

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 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

Qualifications

• 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.

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.

Skills

Python

Full-stack engineering

Agentic workflows

Security & compliance

Cross-team collaboration

Education

Bachelor's or master's in CS/SE

Tools

AWS

GCP

Azure

Databricks

Snowflake

Docker

CI/CD

Job description

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 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