AI Full Stack Developer

Job summary

The candidate will design and develop modern AI-powered applications by integrating data pipelines, backend services, and Generative AI models. Responsibilities include building scalable RESTful APIs, creating responsive web interfaces, and optimizing RAG pipelines for enterprise use.

Job details

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,850+, and has 60 offices in 20 countries within key global markets. Our challenge We are seeking a Senior AI Full Stack Engineer to join a strategic technology initiative within client's Capital Markets. The successful candidate will help design and develop modern AI-powered applications by combining expertise in data engineering, backend services, frontend development, and Generative AI. The Role Responsibilities: Design and develop modern data pipelines using Dagster and dbt. Build scalable backend services using Python and FastAPI. Develop RESTful APIs and asynchronous services for high-performance applications. Create responsive and intuitive web applications using React, TypeScript, TanStack, and TailwindCSS. Build and optimize Retrieval-Augmented Generation (RAG) pipelines. Integrate Large Language Models (LLMs) into enterprise applications. Implement Model Context Protocol (MCP) integrations for AI agent workflows. Develop reusable data products while ensuring data quality, lineage, and governance. Collaborate with data engineers, AI engineers, product owners, and business stakeholders. Follow software engineering best practices, including CI/CD, automated testing, and code reviews. Required Skills Data Engineering Strong experience with Dagster Hands-on experience with dbt Good understanding of Medallion Architecture Experience building scalable data pipelines Data quality and validation frameworks Experience developing data products Backend Development Advanced Python FastAPI REST API development Async programming Microservices architecture Frontend Development React (18/19) TypeScript TanStack Query / Router / Table TailwindCSS Modern frontend architecture AI / Machine Learning Hands-on experience building RAG applications Experience integrating Large Language Models Prompt engineering Vector databases Model Context Protocol (MCP) AI application orchestration Preferred Skills Azure or AWS Cloud Docker & Kubernetes CI/CD pipelines GitHub Actions PostgreSQL Snowflake or Databricks Financial Services or Capital Markets experience Qualifications Must Have: 6+ years of software development experience 2+ years building GenAI/LLM applications Strong communication and stakeholder management skills Experience working within Agile teams Ideal Candidate Profile The ideal consultant should have experience across: Python + FastAPI React + TypeScript Dagster dbt Data Engineering GenAI / RAG LLM integrations API development Modern cloud-native architecture We offer: A highly competitive compensation and benefits package. A multinational organization with 60 offices in 20 countries and the possibility to work abroad. 15 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

What you’ll do

The candidate will design and develop modern AI-powered applications by integrating data pipelines, backend services, and Generative AI models. Responsibilities include building scalable RESTful APIs, creating responsive web interfaces, and optimizing RAG pipelines for enterprise use.

Requirements

The role requires at least 6 years of software development experience with a strong focus on Python, FastAPI, and modern frontend frameworks like React. Candidates must also possess 2 years of hands-on experience building GenAI/LLM applications and data engineering pipelines.

Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • Retirement savings plans • Paid annual leave • Maternity leave • Paternity leave • Higher education certification policy • Commuter benefits • Training opportunities • Udemy for business access

Listed skills

• React · Preferred
• TypeScript · Preferred
• prompt engineering · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• FastAPI
• React
• TypeScript
• Dagster
• Dbt
• Generative AI
• RAG
• LLM integration
• Data engineering
• RESTful APIs
• TailwindCSS
• TanStack
• Cloud computing
• Microservices
• Prompt engineering

Job areas

• Technology
• Software
• Data & Analytics
• Finance & Accounting
• Consulting