Senior AI Engineer(Python Developer)

LSEG; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Healthcare

Retirement planning

Paid volunteering days

Wellbeing initiatives

Job summary

LSEG is seeking a Senior AI Engineer to join their FX Trade Advanced Analytics team in Hyderabad. This role involves designing and implementing AI-driven capabilities within our Big Data analytics ecosystem, and maintaining rigorous quality standards. Candidates should have 7+ years of software engineering experience, proficiency in Python, and familiarity with big data technologies including Snowflake. LSEG offers tailored benefits and support, including healthcare and retirement planning.

Qualifications

• 7+ years of relevant software engineering experience.
• 3+ years delivering application solutions, ideally using big data technologies.
• Demonstrated ability to contribute independently and collaboratively.

Responsibilities

• Design and implement AI-driven capabilities within the analytics ecosystem.
• Build production-grade systems integrating traditional data engineering with AI frameworks.
• Maintain rigorous quality standards and contribute to Agile Scrum processes.

Skills

Python

AI/LLM engineering

Snowflake

CI/CD (Gitlab, Bamboo, Jenkins)

Agile Scrum methodologies

Tools

Snowpark

AWS Lambda

Terraform

Oracle

Linux

Job description

About the Role

You’ll be joining our FX Trade Advanced Analytics team as a Senior AI Engineer. We're responsible for building and delivering complex analytic applications across our regulated FX trading venues. The team provides traders with the ability to assess historical trading data with comparisons of liquidity providers and data visualization technology. Our analytic capabilities process millions of FX trade messages every day on the cloud through our big data stack including Python, SnowPark, Oracle and Snowflake.

Responsibilities

You will be responsible for designing and implementing new analytic and AI‑driven application capabilities within our Big Data analytics ecosystem. This includes building production grade systems that integrate traditional data engineering with modern AI frameworks. You will need strong technical abilities, be able to quickly understand and contribute to existing codebases and express design concepts with a solid understanding of functional programming paradigms and AI system design.

As a senior AI engineer, you will be responsible for engineering scalable solutions, maintaining rigorous quality standards, contributing to Agile Scrum processes, and at times interacting directly with product stakeholders.

Required Skills

• Solid grasp of Python, including experience building production systems in cloud environments and working with big data warehouses (preferably Snowflake).
• Hands on experience with AI/LLM engineering, Agentic AI, including building applications using LangChain, LlamaIndex, or similar LLM orchestration frameworks.
• Hands‑on experience with Snowflake Cortex, including building or integrating AI/ML pipelines using Cortex functions and services.
• Integrating LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) into production systems.
• 7+ years of relevant software engineering experience.
• 3+ years delivering application solutions, ideally using big data technologies.
• Demonstrated ability to contribute independently while collaborating effectively as part of a team on high-profile projects.

Additional Skills and Experience

• Some knowledge of, or willingness to learn, technologies such as Snowpark, AWS Lambda, Terraform, Oracle and Hive
• Unit and integration testing your code (including mocking)
• Proficient with version‑control solutions using Git
• Continuous integration (Gitlab, Bamboo, Jenkins) and/or deployment (Terraform)
• Knowledge of embedding models, vector search optimization, and LLM observability/monitoring tools.
• Experience working in Agile Scrum methodologies
• Linux and bash/ruby scripting
• Understanding of FX financial markets

Career Stage

Senior Associate

Benefits

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Equal Opportunities

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.