Gen AI Developer

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 & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs 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 16,700+, and has 58 offices in 22 countries within key global markets.

We are seeking a skilled AI/ML Developer with a strong background in advanced Python programming and expertise in various AI frameworks and models. The ideal candidate will have experience in prompt engineering, AI agentic frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and vector databases. This role requires a combination of technical ability, creativity, and a passion for innovation in the AI domain.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Jersey City, NJ is $100k - $110k/year & benefits (see below).

• Develop, test, and deploy advanced AI/ML models and algorithms using Python.
• Design and implement prompt engineering techniques to optimize model responses and performance.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Utilize AI agentic frameworks to create intelligent systems capable of autonomous decision-making.
• Work with large language models (LLMs) to develop applications that understand and generate human-like text.
• Implement retrieval-augmented generation (RAG) strategies to enhance the context and relevance of generated outputs.
• Manage and optimize vector databases for efficient storage and retrieval of data used in AI applications.
• Conduct research and stay up-to-date with the latest advancements in AI/ML technologies and methodologies.
• Document processes, models, and methodologies for future reference and knowledge sharing.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in advanced Python programming, with a strong understanding of data structures and algorithms.
• Demonstrated expertise in prompt engineering and its application within AI models.
• Familiarity with AI agentic frameworks and their implementation in real-world applications.
• Experience working with large language models (LLMs) and understanding their architecture and functionalities.
• Knowledge of retrieval-augmented generation (RAG) techniques and vector databases.
• Ability to work effectively in a collaborative environment and communicate complex concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills with a focus on delivering high-quality results.

• Experience with frameworks and libraries such as Tensor Flow, PyTorch, or Hugging Face.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services.
• Knowledge of data preprocessing and data engineering practices.

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 22 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…