Data Research Engineer

Job Title

Location:

Experience:

Responsibilities:

● Develop methods to leverage the potential of LLM and AI within the team.

● Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes

in the team.

● Be a visionary with AI/LLM tools and predict how the use of future technologies could be

harnessed early on so that when these technologies come out, the team is ahead of the game

regarding how it could be used.

● Assist in acquiring and integrating data from various sources, including web crawling and API

integration.

● Stay updated with emerging technologies and industry trends.

● Explore third-party technologies as alternatives to legacy approaches for efficient data

pipelines.

● Contribute to cross-functional teams in understanding data requirements.

● Assume accountability for achieving development milestones.

● Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing

priorities.

● Collaborate with and assist fellow members of the Data Research Engineering Team as

required.

● Leverage online resources effectively like Stack Overflow, ChatGPT, Bard, etc., while

considering their capabilities and limitations.

Skills and Experience

● Bachelor's degree in Computer Science, Data Science, or a related field. Higher

qualifications is a plus.

● Think proactively and creatively regarding the next AI/LLM technologies and how to use

them to the team’s and company’s benefits.

● “Think outside the box” mentality.

● Experience prompting LLMs in a streamlined way, taking into account how the LLM can

potentially “hallucinate” and return wrong information.

● Experience building agentic AI platforms with modular capabilities and autonomous

task execution. (crewai, lagchain, etc.)

● Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for

dynamic knowledge integration. (chromadb, pinecone, etc)

● Experience managing a team of AI/LLM experts is a plus: this includes setting up goals

and objectives for the team and fine-tuning complex models.

● Strong proficiency in Python programming

● Proficiency in SQL and data querying is a plus.

● Familiarity with web crawling techniques and API integration is a plus but not a must.

● Experience in AI/ML engineering and data extraction

● Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.)

● Strong understanding of machine learning frameworks (Tensor Flow, PyTorch)

● Design and build AI models using LLMs

● Integrate LLM solutions with existing systems via APIs

● Collaborate with the team to implement and optimize AI solutions

● Monitor and improve model performance and accuracy

● Familiarity with Agile development methodologies is a plus.

● Strong problem-solving and analytical skills with attention to detail.

● Creative and critical thinking.

● Ability to work collaboratively in a team environment.

● Good and effective communication skills.

● Experience with version control systems, such as Git, for collaborative development.

● Ability to thrive in a fast-paced environment with rapidly changing priorities.

● Comfortable with autonomy and ability to work independently.

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