SCIENTEC CONSULTING PTE. LTD.
AI Engineer (LangChain, Python, GoLang)
We are seeking a highly skilled
AI Engineer
to join our team in building intelligent, scalable, and production-ready AI solutions. You will work on designing and deploying AI/LLM-powered applications, leveraging cutting-edge frameworks such as
LangChain , and integrating them with robust backend systems. Working Hours: Mon-Fri Working Locaiton: Central Salary Package: Up to $8200 (basic) + AWS + VB Key Responsibilities Design, develop, and optimize AI/LLM-driven applications using LangChain. Build scalable APIs and services in
Python
and
GoLang . Develop and maintain data pipelines, retrieval-augmented generation (RAG) systems, and vector databases. Collaborate with cross-functional teams to integrate AI solutions into business workflows. Research and apply emerging AI/ML techniques to solve real-world problems. Requirements Bachelor’s/Master’s degree in Computer Science, AI/ML, or related field. Strong programming skills in
Python
and
GoLang . Hands-on experience with
LangChain
and LLM application development. Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and cloud services (AWS, GCP, or Azure). Knowledge of prompt engineering, RAG, and API integration. Strong problem-solving mindset and ability to work in agile teams. Nice-to-Have Experience with ML model fine-tuning and deployment. Knowledge of containerization (Docker/Kubernetes) for scalable AI solutions. Contributions to open-source AI/LLM projects. Join us to shape the future of AI-powered applications with innovative solutions that scale. By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy). This authorizes us to: Contact you about potential opportunities. Delete personal data as it is not required at this application stage. All applications will be processed with strict confidence. Only shortlisted candidates will be contacted. Elane Yap Theng Yu- R1989397 ScienTec Consulting Pte Ltd - 11C5781
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AI Engineer
to join our team in building intelligent, scalable, and production-ready AI solutions. You will work on designing and deploying AI/LLM-powered applications, leveraging cutting-edge frameworks such as
LangChain , and integrating them with robust backend systems. Working Hours: Mon-Fri Working Locaiton: Central Salary Package: Up to $8200 (basic) + AWS + VB Key Responsibilities Design, develop, and optimize AI/LLM-driven applications using LangChain. Build scalable APIs and services in
Python
and
GoLang . Develop and maintain data pipelines, retrieval-augmented generation (RAG) systems, and vector databases. Collaborate with cross-functional teams to integrate AI solutions into business workflows. Research and apply emerging AI/ML techniques to solve real-world problems. Requirements Bachelor’s/Master’s degree in Computer Science, AI/ML, or related field. Strong programming skills in
Python
and
GoLang . Hands-on experience with
LangChain
and LLM application development. Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and cloud services (AWS, GCP, or Azure). Knowledge of prompt engineering, RAG, and API integration. Strong problem-solving mindset and ability to work in agile teams. Nice-to-Have Experience with ML model fine-tuning and deployment. Knowledge of containerization (Docker/Kubernetes) for scalable AI solutions. Contributions to open-source AI/LLM projects. Join us to shape the future of AI-powered applications with innovative solutions that scale. By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy). This authorizes us to: Contact you about potential opportunities. Delete personal data as it is not required at this application stage. All applications will be processed with strict confidence. Only shortlisted candidates will be contacted. Elane Yap Theng Yu- R1989397 ScienTec Consulting Pte Ltd - 11C5781
#J-18808-Ljbffr