Engineer Senior, Artificial Intelligence (Agentic AI, Python, LLM)

FIS; Pune District; In loco; INR 3.000.000 - 7.000.000; Tempo pieno

Descrizione del lavoro

Fidelity Information Services, LLC looks for an Artificial Intelligence and Machine Learning Engineer Lead to design and develop generative AI and agent-based solutions across the organization. You will craft scalable applications using large language models and connect them with enterprise APIs and workflows.

Responsibilities include building GenAI-powered apps, agent-based systems with planning and memory, and ensuring safety and grounding.

Competenze

• At least 5 years of overall professional experience, including at least four years working with artificial intelligence, generative artificial intelligence or agent-based artificial intelligence.
• Designing and building GenAI-powered applications using LLMs (open proprietary)
• Building agent-based systems with planning, memory, tool use, and orchestration
• Implementing Agentic workflows (multi-agent, human-in-the-loop, autonomous tasks)
• Hands-on experience with large language models, prompting techniques, structured outputs, model routing, context management, memory management and retrieval-augmented generation.
• Strong proficiency in Python and experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, PyTorch, Keras or pandas.
• Experience with vector databases, retrieval systems, cloud platforms such as Amazon Web Services, Google Cloud or Microsoft Azure, and services built with Flask or FastAPI.
• Bachelor's degree in engineering or a related field, or an equivalent combination of education, training and work experience.

Mansioni

• Design and build generative artificial intelligence applications using proprietary and open-weight large language models.
• Develop agent-based systems and workflows that support planning, memory, tool use, orchestration, human oversight and autonomous tasks.
• Integrate artificial intelligence solutions with enterprise platforms, application programming interfaces and business workflows.
• Build and deploy representational state transfer services using Flask or FastAPI.
• Evaluate model, agent and system performance, including accuracy, reliability, grounding and safety.

Conoscenze

GenAI

Python

ML frameworks

NLP

Formazione

Engineering degree

Strumenti

LangChain

LlamaIndex

AutoGen

OpenAI API

Descrizione del lavoro

Every day at FIS, innovators, problem solvers and changemakers work together to create technology that advances the world of finance. We embrace new ideas, challenge what's possible and empower our teams to make a lasting impact. If you're ready to help shape the future of fintech, unlock your next chapter with FIS.

About the role

As an Artificial Intelligence and Machine Learning Engineer Lead, you will design and develop generative artificial intelligence and agent-based solutions across FIS. You will build scalable applications using large language models and integrate them with enterprise platforms, application programming interfaces and workflows. You will also evaluate these systems for accuracy, reliability, safety and effective grounding.

Your key responsibilities

• Design and build generative artificial intelligence applications using proprietary and open-weight large language models.
• Develop agent-based systems and workflows that support planning, memory, tool use, orchestration, human oversight and autonomous tasks.
• Integrate artificial intelligence solutions with enterprise platforms, application programming interfaces and business workflows.
• Build and deploy representational state transfer services using Flask or FastAPI.
• Evaluate model, agent and system performance, including accuracy, reliability, grounding and safety.

Required qualifications

• At least 5 years of overall professional experience, including at least four years working with artificial intelligence, generative artificial intelligence or agent-based artificial intelligence.
• Designing and building GenAI-powered applications using LLMs (open proprietary)

• Building agent-based systems with planning, memory, tool use, and orchestration
• Implementing Agentic workflows (multi-agent, human-in-the-loop, autonomous tasks)

• Hands-on experience with large language models, prompting techniques, structured outputs, model routing, context management, memory management and retrieval-augmented generation.

• Strong proficiency in Python and experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, PyTorch, Keras or pandas.

• Experience with vector databases, retrieval systems, cloud platforms such as Amazon Web Services, Google Cloud or Microsoft Azure, and services built with Flask or FastAPI.

• Bachelor's degree in engineering or a related field, or an equivalent combination of education, training and work experience.

Preferred qualifications

• Experience fine-tuning large language models, including parameter-efficient approaches such as low-rank adaptation and quantized low-rank adaptation.

• Familiarity with orchestration tools such as LangChain, LlamaIndex, AutoGen or the OpenAI Assistants application programming interface.

• Knowledge of production machine learning operations, continuous integration and delivery, monitoring, observability, security, compliance and data governance.

The impact you'll make

The FIS artificial intelligence and machine learning team identifies, explores and implements solutions designed to support revenue growth and operational savings. The team brings together solution architects, data scientists and machine learning engineers. As an Artificial Intelligence and Machine Learning Engineer Lead, you will help turn emerging technologies into practical solutions that can be applied across the organization.

What we offer you

At FIS, your career journey is yours to shape. We provide the tools, experiences and support to help you reach what's next.

Here’s what else we offer:

• Opportunities to make an impact in fintech

• Internal career growth opportunities

• Personal and professional learning

• Inclusive, diverse work environment

• Resources to give back to your community

Privacy Statement

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