GenAI Software Developer

Who we are looking for

We are seeking to hire a developer that has sufficient background in Generative AI technologies and the potential to contribute effectively to solutions for operational efficiency, investment and risk management related domains, or client experience.

What you will be responsible for

As genAI Software Developer you will:

• Integrate, quantize, and fine tune open source LLMs to solve financial market problem and perform validation and bug fixes
• Assist Solution Development Leads in design, development, and validation of genAI software
• Write model documentation with lead engineer and data scientist about problem statement, assumptions, data input, methodology, implementation framework, and test result
• Support IT integration, QA/UAT and deployment, operationalizing and productizing solutions
• Support issues arising within LLM based solutions deployed to Production

Required skills and experience:

• Master’s degree in AI/ML, Computer Science, Engineering or Sciences (with a background in Machine learning)
• Demonstrated understanding of how state-of-the-art LLMs can be induced to use explicitly supplied structured and unstructured information, their implicit world knowledge and their abilities to solve problems such as extraction, evaluation and comparison or document structures in investment management.
• A grasp of tools for knowledge extraction, representation and reasoning.
• A track record of managing the "exploration vs exploitation" tradeoff to deliver innovative solutions for first-of-a-kind problems.
• Demonstrated experience in designing and implementing solutions utilizing GenerativeAI and ML components, and patterns like RAG and Text-to-SQL.
• Hands on experience in working with Azure OpenAI services or other managed large language models
• Extensive experience in Python programming languages along with popular frameworks

Preferred skills and experience:

• Familiarity with AI ML search and data services within Azure or AWS ecosystem
• Familiarity with evaluation validation and refinement of results from Generative AI RAG based applications
• Familiarity with setting up monitoring, observability and guardrails for Generative AI solutions
• Understanding of machine learning techniques and algorithms such as GPTs, CNN, RNN, kNN, xgBoost, Naive Bayes, SVM, Random Forests etc

Salary Range:

$75,000 - $120,000 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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