AI Data Engineer

We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery capabilities. This role is primarily hands-on and requires strong software engineering, data engineering, and AI/ML expertise with a focus on building scalable enterprise solutions.
The successful candidate will work closely with architects, product owners, data scientists, and engineering teams to implement AI-driven capabilities including LLMs, Agentic AI workflows, Retrieval-Augmented Generation (RAG), and intelligent automation solutions within a regulated financial services environment.

Key Responsibilities:

Agent Design and Development:
Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules.
Data Engineering & Integration:
Design and develop data pipelines supporting AI and machine learning workloads. Ensure data quality, lineage, governance, and security requirements are met.
Machine Learning Integration:
Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making.
Software Engineering:
Develop production-grade applications and APIs using Python and/or Java. Build reusable services, microservices, and AI components.
Framework and Tooling:
Utilize and contribute to agentic AI frameworks and development tools.
Research and

Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions.

Collaboration:

Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services.
Documentation:
Create comprehensive technical documentation for agent designs, implementations, and operational procedures.

Required Qualifications:

Experience:

5+ years of professional experience in software development. 2+ years working with AI/ML, Generative AI, or intelligent automation solutions. Financial services experience preferred.
Programming:
Strong proficiency in Python, SQL;
Java is a plus.
AI/ML Expertise:
Experience working with Generative AI and LLM-based applications.
Knowledge of Prompt Engineering, RAG, embeddings, vector DBs, and agentic frameworks.
Familiarity with Lang Chain, Lang Graph, CrewAI, Auto Gen, or similar frameworks.
Experience utilizing OpenAI, Azure, Anthropic, Gemini, Bedrock, or equivalent platforms.
Understanding of machine learning fundamentals and model evaluation technique.
Data Engineering:
Experience designing and supporting data pipelines and data integration workflows.
Problem-Solving:
Excellent analytical and problem-solving skills with a creative approach to complex challenges.
Communication:
Strong written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
Platforms:

Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Domain – Finance preferable
Collaboration – Able to collaborate within and across teams and organizations

Education:

Bachelor’s degree/University degree or equivalent experience
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location Full Time Salary Range:
$94,300.00 - $
Most Relevant Skills   Please see the requirements listed above.
Other Relevant Skills   For complementary skills, please see above and/or contact the recruiter.
Automated Processing and AI  We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and…