ai engineer

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 Responsibilities • 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 Description: Experience/Skills: • 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives. • Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques • Agentic AI, MCP, and Graph/RAG architectures • Gen AI Framework (LangChain, LlamaIndex, Amazon Bedrock) • Web application development using Next.js, React, TypeScript/JavaScript • AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation) • Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments • ETL orchestration using Apache Airflow/DAGs • Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization • Python programming (NumPy, Pandas, Matplotlib, Boto3) • 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 techniques • Experience in BI tools like QuickSight, Tableau • Knowledge of financial markets and enterprise data systems

The AI Engineer will lead the development of AI products and solutions, focusing on clean and maintainable code. They will design and build scalable Gen AI solutions while collaborating with product managers and domain experts.

Candidates should have over 6 years of experience in engineering roles, with a focus on AI initiatives. Proficiency in Gen AI models, AWS services, and web application development is essential.

• ReactPreferred

Identified from the job description. Confirm important requirements above.

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

• Technology
• Consulting
• Engineering
• Data & Analytics
• Software

Minimum experience

5+ years

Apply by

Aug 7, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available