Job DescriptionSenior Software EngineerLocation: New York
Type: Full-time, Hybrid
Job SummaryJoin 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
