Position Overview  

Socotra Tech Services is hiring a Junior AI/ML Engineer to join our Fund Dharma product team full-time. In this role, you will design, develop, and deploy LLM-based features, build internal AI agents, and lead automation initiatives for our administrative and engineering processes. You will also play a key role in modernizing and reducing our existing Node.js and React codebase by leveraging LLMs and AI-driven code transformation tools.

Position Details  

Job Title: Junior AI/ML Engineer

Product: Fund Dharma

Employment Type: Full-time

Hours: 40 hours per week

Work Sponsorship: This position does not offer visa sponsorship

Education Requirement: Minimum Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field

Key Responsibilities  

• Design, develop, and deploy production-grade Large Language Model (LLM) features within the Fund Dharma product.

• Build, integrate, and maintain internal AI agents that automate administrative workflows and operational processes.

• Lead initiatives to reduce, refactor, and modernize the existing Node.js and React codebase using LLM-assisted code generation and transformation.

• Develop, fine-tune, and evaluate LLM prompts, RAG pipelines, and agentic workflows for production use.

• Implement end-to-end ML pipelines including data preparation, model selection, deployment, and monitoring.

• Collaborate with senior engineers, product managers, and stakeholders to translate business requirements into technical AI solutions.

• Write clean, well-tested, and well-documented code; participate actively in code reviews.

• Monitor performance, accuracy, and cost-efficiency of deployed AI systems and iterate on improvements.

• Stay current with advancements in LLMs, agentic AI, and ML engineering best practices.

Required Qualifications  

• Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field.

• Solid understanding of LLM architectures, transformer models, and modern NLP techniques.

• Strong programming skills in Python; working knowledge of JavaScript/TypeScript, Node.js, and React.

• Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or direct integrations with OpenAI, Anthropic, or similar provider APIs.

• Experience designing and implementing AI agents, tool-use patterns, or multi-step LLM workflows.

• Familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector) and RAG pipelines.

• Experience deploying ML/AI systems to cloud platforms such as AWS.

• Understanding of prompt engineering, evaluation methodologies, and LLM safety/guardrails.

• Strong problem-solving, debugging, and software engineering fundamentals.

Preferred Qualifications  

• Experience with CI/CD pipelines, GitHub Actions, and infrastructure-as-code.

• Exposure to MLOps practices and tools for model monitoring and observability.

• Experience using AI coding assistants or LLM-based code transformation tools to refactor existing codebases.

• Background in fintech or fund/investment management domain.

• Published research, open-source contributions, or notable ML/AI projects.

What We Offer  

• The opportunity to work on cutting-edge LLM and agentic AI systems at the heart of a growing fintech product.

• A collaborative, learning-oriented engineering culture.

• Direct ownership of impactful initiatives spanning AI, automation, and codebase modernization.

• Professional growth opportunities and exposure to modern cloud and AI tooling.