Job Title: AI Engineer / Data Scientist – Generative & Agentic AI
Overview:
We are seeking a highly skilled AI Engineer / Data Scientist with deep expertise in Generative AI (GenAI) and Agentic AI systems to join our organisation to work for one of the topmost banks . The ideal candidate will have hands-on experience in building intelligent, autonomous solutions powered by Large Language Models (LLMs) and advanced AI frameworks. While knowledge of knowledge graphs is a plus, the primary focus is on designing and deploying agentic workflows, multi-agent systems, and GenAI applications at scale.
Key Responsibilities:
• Design and implement agentic AI systems that leverage LLMs for autonomous reasoning, decision-making, and task orchestration.
• Develop and optimize Generative AI applications for text, code, and multimodal use cases.
• Integrate LLMs with external data sources and APIs to enable contextual intelligence and dynamic workflows.
• Utilize AI coding assistants and tools (e.g., Claude, Code Llama, Roocode) to accelerate development and improve productivity.
• Architect and deploy scalable AI solutions on AWS cloud, ensuring security, performance, and cost efficiency.
• Research and implement cutting-edge approaches in multi-agent systems, LLM orchestration frameworks, and AI toolchains.
• Apply data science techniques for large-scale data processing, predictive modeling, and analytics using SQL, Spark, and Python.
• (Optional) Leverage knowledge graphs for enhanced reasoning and structured data integration.
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Required Skills & Experience:
• Generative AI Expertise: Strong experience with LLMs and frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).
• Agentic AI Knowledge: Hands-on experience with autonomous agents, multi-agent systems, and orchestration tools.
• Programming:
• Proficiency in Python with strong algorithmic and design skills.
• Experience with Java and TypeScript is a plus.
• Cloud Skills: Solid knowledge of AWS services (EC2, Lambda, SageMaker, etc.) for AI deployment.
• Analytical Skills: Exceptional problem-solving and analytical thinking for complex AI challenges.
• Familiarity with AI development tools like Claude, Code Llama, Roocode for coding assistance.
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Preferred Qualifications:
• Education: bachelor's or master's degree in computer science, Data Science, or related field.
• Experience in integrating LLMs with agentic workflows and building autonomous AI systems.
• Knowledge of knowledge graphs and graph databases (AWS Neptune, Neo4j) is a plus.
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Why Join Us?
This role offers an exciting opportunity to work at the forefront of Generative AI, Agentic AI, and cloud-based intelligent systems, shaping next-generation autonomous solutions
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.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Candidate Application Notice
