Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Project Description:
- We are seeking a skilled AI Agentic Developer in implementing solutions within financial institutions.
Responsibilities:
- We’re looking for AI Software engineers to:
- Design and develop Agentic AI applications with a focus on prompt engineering, LangChain, and agentic AI frameworks.
- Build scalable, secure, and sustainable solutions using Python and modern programming techniques.
- Integrate cloud platforms (e.g., Azure) to deploy and manage AI models effectively.
- Conduct rigorous code reviews, testing, and debugging to ensure high-quality outputs.
- Enhance existing AI solutions while exploring new technologies to improve user experience and business outcomes.
Mandatory Skills Description:
- Minimum Bachelor’s/Master’s degree in Computer Science, AI, or related field, or equivalent experience.
- At least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
- Proficient in Prompt Engineering: Skilled in crafting and optimizing prompts for AI applications
- LangChain Expertise: Familiarity with integrating and designing AI workflows using LangChain and similar frameworks.
- Python Proficiency: Strong coding ability in Python, with a focus on AI-related libraries (e.g., TensorFlow, PyTorch, OpenAI API).
- Cloud Experience: Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) for deploying and managing AI solutions.
- AI Lifecycle Management: Understanding of best practices for developing, deploying, and maintaining AI models across their lifecycle.
- Solid knowledge of SDLC processes, including secure coding practices, code reviews, and performance optimization.
Nice-to-Have Skills Description:
- Knowledge of Agile
Key Skills
Ranked by relevanceReady to apply?
Join Luxoft Singapore and take your career to the next level!
Application takes less than 5 minutes

