Senior AI Engineer

Project Description: We are looking for an experienced AI Engineer to design and deliver scalable Gen AI solutions. The role involves building production-ready AI products using Python, React, and AWS, while leveraging modern architectures such as LLM pipelines, RAG, and agent-based systems. This role is for subcontractors. Responsibilities :AI Engineer Responsibilitie s• Lead and actively contribute to the development of AI products, pilots and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools .• Design, architect and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, and prompt-based applications and emerging tech .• Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena .• Optimize performance of AI products, Drive continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and toolchains .• Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs .• Act as a subject matter expert (SME) on Gen AI technologies and help shape the organization's AI roadmap .• Own end-to-end delivery of Gen AI solutions. Manage timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban) .• Monitor operational metrics and incident data to drive continuous improvement and reliability .• Ensure adherence to governance, DevSecOps protocols . Mandatory Skills Descriptio n:Experience/Skiil s:• 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiative s.• Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniqu es• Agentic AI, MCP, and Graph/RAG architectur es• Gen AI Framework (LangChain, LlamaIndex, Amazon Bedroc k)• Web application development using Next.js, React, TypeScript/JavaScri pt• AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formatio n)• Infrastructure as Code (Puppet, Terraform, Docker) and containerized deploymen ts• ETL orchestration using Apache Airflow/DA Gs• Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimizati on• Python programming (NumPy, Pandas, Matplotlib, Boto 3)• Automated testing frameworks (Ragas, Playwright, Zephyr, Selenium ,)• Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align ).• Knowledge of LLM fine tuning techniqu es• Experience in BI tools like QuickSight, Table au• Knowledge of financial markets and enterprise data syste ms

The Senior AI Engineer will lead the development of AI products and solutions, focusing on scalable Gen AI solutions. Responsibilities include designing architectures, implementing cloud-native solutions, and ensuring adherence to governance protocols.

Candidates should have over 6 years of experience in engineering roles, with a focus on Gen AI technologies and architectures. Proficiency in Python, AWS services, and modern development practices is essential.

• ReactPreferred

Identified from the job description. Confirm important requirements above.

• Python
• React
• AWS
• Gen AI
• LLM Pipelines
• Agentic AI
• MCP
• Graph/RAG Architectures
• Infrastructure as Code
• ETL Orchestration
• Vector Databases
• Automated Testing
• DevSecOps
• Agile
• BI Tools
• Financial Markets

• Technology
• Engineering
• Data & Analytics
• Consulting

Minimum experience

5+ years

Apply by

Aug 12, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available