AI Engineer

About the Role

Key Responsibilities

• Leads the design, development and implementation of complex data management, storage applications, often using new technologies.
• Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criterion for obtaining results.
• Work leadership may be provided by assigning work and resolving problems.
• Ability to translate business strategy into achievable tactics.
• A senior member of the technical team responsible for assisting senior business leaders and management.
• May provide strategic technical direction and system architecture for individual initiatives.
• Utilizes in-depth knowledge of technological alternatives and business system requirements to recommend innovations that enhance and/or provide a competitive advantage to the organization.
• Leads or has responsibility for estimation of effort for software application for one or more programmers.
• Coordinates collaboration with external programming teams to deliver software on time and within budget.
• Provides feedback and technical guidance to project managers on issues of critical importance to achieving business objectives.

Requirements

• Typically over 10 years of related IT experience.
• 2+ years of professional experience as a data scientist executing end-to-end Gen AI projects using technologies such as LLM Models (Llama, Mixtral, Mistral).
• Experience with various inferencing mechanisms - transformer/pipeline, vllm.
• Knowledge of agentic framework: langgraph.
• Familiarity with evaluation frameworks: RAGAS, langsmith, phoenix-arize.
• Experience with embedding models (all-MiniLM-L6-v2, all-mpnet-base-v2).
• Proficiency with LLM development frameworks: Langchain, LlamaIndex.
• Experience with Rest API, FastAPI, Websockets.
• Experience with enterprise Redis Database, Qdrant, Cockroach.
• Must have experience working with Model Risk Management/Model Governance, including delivering on Gen AI projects following governance guidelines, writing model documents, and building model monitoring capabilities.
• Strong programming experience with Python.
• Angular experience a huge plus.
• Experience with Slurm, Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus.
• Knowledge of machine-learning techniques, classifiers and statistical methods.

Nice to Have

• Angular experience.
• Experience with Slurm, Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB.

Benefits & Perks

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 10 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.