LLM Developer

2 days ago

Singapore ATTIX APAC PTE. LTD. Full time

Job Description
As an LLM/AI Engineer at Attix, you'll spearhead the development of AI-driven financial agents capable of autonomous decision-making, complex financial analysis, and providing actionable recommendations. Your role will involve crafting sophisticated AI systems that assist users in tasks such as financial data analysis, market insights, portfolio management, automated trading strategies, recommendations, transparent reporting to end users, and more. You'll work on integrating these agents into our internal & external platform, products, and pipeline, ensuring seamless automation of financial workflows.
Key Responsibilities
Build and implement advanced financial agents capable of autonomous workflows, including data analysis, market research, and executing financial strategies based on real-time insights.
Enable AI agents to make independent, data-driven recommendations in areas such as portfolio management, market forecasts, and risk assessment.
Develop and maintain scalable pipelines, APIs, and system integrations with real-time data, external services, and brokerages.
Implement text-to-action capabilities for natural language inputs, enabling agents to execute trades, adjust strategies, and generate transparent reports.
Model Optimization: Train, fine-tune, and maintain machine learning models that power the financial agent's ability to analyze data, provide recommendations, and execute tasks efficiently
Ensure high availability, performance, and security through strong backend engineering, MLOps/DevOps, and cloud deployment (AWS/GCP, Kubernetes).
Monitor and evaluate model performance, data integrity, and decision accuracy to continuously improve reliability and user trust.
Collaborate with cross-functional teams to align AI agents with business needs, while staying current with advances in LLMs, agentic frameworks, and financial technologies.
Qualifications
At least 3 years of experience in machine learning and AI related work
Proven experience building and deploying LLM-based applications, pipelines, or autonomous agents in production environments.
Strong backend engineering skills with expertise in Python (JavaScript/TypeScript a plus).
Hands-on experience in developing autonomous agents using the state of the art frameworks
Hands-on knowledge of MLOps/DevOps, CI/CD, containerization, and cloud platforms (AWS/GCP, Kubernetes).
Familiarity with agentic frameworks (Langgraph, Auto-gen, LangChain, or similar) and prompt engineering.
Business-oriented mindset with curiosity and problem-solving ability; finance background strongly preferred.
Excellent communication skills to deliver clear insights and transparent reporting to end users.
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