Senior Software Engineer

eClerx • New York, NY

8d • $150,000 - $200,000 • Hybrid

About The Position

Join eClerx’s US AI Organization to build and deploy AI-enabled software for clients in financial services and other industries. The role involves designing agentic workflows, converting successful demonstrations and MVPs into production-ready software, and delivering the capabilities large organizations need before rollout, including secure identity and access, protected credentials, dependable integrations, observable operations, and a clear deployment path. You will own engineering work from build through handoff to an industry-specific product team.

After joining the team, client-facing work may be part of the role depending on team placement. This can include discovery sessions, technical presentations, and solution design with client stakeholders.

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 understanding of failure modes.
• Depth in AWS, 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.

Nice To Haves

• Familiarity with Docker and DevOps practices, including CI/CD pipelines, environments, and release processes.
• Familiarity with model fine-tuning and current AI models and their capabilities.
• Experience supporting a client security audit or penetration test.
• Client-facing experience, including technical discovery or presentations.
• 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.

Responsibilities

• Design, build, and evaluate agentic workflows and integrations, and move promising demonstrations toward production.
• Assess demos and MVPs against client deployment requirements and lead full-stack work to address gaps, including features, APIs, user workflows, and integrations with enterprise data environments.
• Design resilient production architectures covering retries, idempotency, queues, failure isolation, and scaling; conduct performance and load testing with cost considerations.
• Build identity and security into solutions, including SSO with client identity providers (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 through 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 in selecting optimal solutions while following industry guidelines.
• Stay current with developments in AI and the industries served.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior