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 LangChain, LangGraph, CrewAI, AutoGen, 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

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Job Family Group:

Technology

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