Senior AI Engineer

eClerx • New York, NY

8h

About The Position

eClerx is seeking an AI Engineer to support one of our premier clients, a
leading global financial institution on a multi‑year transformation journey. In
this role, you will join a global eClerx team (NY, London) responsible for
modernize legacy applications, re-engineer existing platforms to a new
technology stack, and leverage AI-assisted development tools to accelerate
analysis, migration, refactoring, testing, and delivery. The ideal candidate is
a hands-on Senior AI Engineer with strong AI skills, responsible for designing,
building, and optimizing intelligent systems leveraging LLMs, agentic
frameworks, graph databases, Python, and modern AI/ML tools. The
role is ideal
for someone who enjoys solving complex problems, experimenting with cutting-edge
architectures, and shipping production-grade AI solutions.

Requirements

• Technical experience, with a strong understanding of AI concepts, architectures, and methodologies.
• Hands-on experience with LLMs, both commercial and open source, including LangChain, LlamaIndex, agentic AI frameworks, Retrieval-Augmented Generation (RAG), and vector databases.
• Experience with graph databases, with Neo4j and Cypher strongly preferred.
• Hands-on experience working with legacy technologies and transforming them into modern tech stacks.
• Demonstrated proficiency in Python, Golang and Java, along with experience using ML and data science libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, SciPy, and Pandas.
• Strong foundation in experimental design, hypothesis testing, and causal inference methods.
• Good understanding of software architecture patterns, system decomposition, and migration strategies.
• Experience working in Agile development environments and familiarity with Agile tools and practices.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Strong knowledge of REST APIs, event-driven architecture, databases, and integration patterns.
• Passion for innovation and a desire to push the boundaries of applied AI.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

Nice To Haves

• Financial services industry experience is preferred.
• Experience using AI coding assistants / developer productivity tools for code analysis, transformation, documentation, and test generation.

Responsibilities

• Collaborate with stakeholders to gather and analyze business requirements for AI-driven automation across the clients’ global operations functions
• Contribute to the development of a comprehensive operational strategy for leveraging Agentic AI to drive efficiency, automation, and innovation across the client’s organization.
• Analyse existing legacy applications, architecture, codebases, integrations, and dependencies to identify modernization opportunities.
• Design and execute re-engineering strategies for migrating legacy systems to modern, scalable, cloud-ready technology stacks.
• Use AI-accelerated development tools to improve productivity in code understanding, refactoring, code generation, documentation, testing, and migration.
• Convert monolithic or outdated applications into modular, API-driven, microservices-based, or cloud-native architectures where applicable.
• Perform code remediation, refactoring, optimization, and modernization while preserving functional parity with legacy systems.
• Work hands-on with cutting-edge LLM architectures and tooling
• Solve challenging logical and engineering problems every day
• Contribute to CI/CD pipelines, automated testing frameworks, and DevOps practices to enable efficient releases
• Support the rollout of enterprise-level Agentic AI frameworks, standards, best practices, and delivery methodologies
• Document and communicate AI solutions and recommendations to technical and non-technical stakeholders clearly and effectively.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees