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.

• 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.

• 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

• Bachelor’s degree/University degree or equivalent experience

• Technology

• Applications Development

• Full time

• $94,300.00 - $

• Please see the requirements listed above.

• For complementary skills, please see above and/or contact the recruiter.

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