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Thomson Reuters is a “Great Place to Work® certified Organization". We are looking for a skilled Automation & AI Developer to design, build, and own intelligent solutions from concept to production. In this role, you will work on agentic AI implementations using AWS Agent Core and Lang Graph, contributing to both rapid POCs and live systems.
About the Role
In this role as an Automation & AI Developer, you will:
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Agentic AI Development
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Implement Lang Graph agentic workflows on AWS Agent Core — state graphs, tool orchestration, conditional routing, error recovery.
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Build custom RAG pipelines end-to-end: chunking strategy, embeddings, vector retrieval, accuracy evaluation.
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Contribute to rapid POC delivery alongside the Architect and Lead.
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Write production-grade Python with FastAPI, Pydantic, testing, and proper error handling.
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Use AI coding tools (Claude Code, GitHub Copilot, Cursor, Cline) to accelerate builds. Own and fix all generated code in production.
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Low Code & Automation
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Build Low Code automations using Microsoft Copilot Studio and Power Automate when use case and bandwidth allow.
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Understand Pro Code vs Low Code trade-offs — flag where Low Code is the better fit.
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Stay current on Low Code platform capabilities as they expand rapidly.
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Production Ownership & Collaboration
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Own assigned components in production — monitor, debug, optimise, iterate.
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Debug agent failures independently: context issues, tool errors, hallucination, retrieval degradation.
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Collaborate with the Lead on architecture translation and implementation planning.
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Mentor Associate Developers through code reviews and pair programming.
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Work Mode:
Hybrid - 3 days from office.
- Shift Timing:
1pm IST to 10pm IST
About You
You’re a fit for the role of Automation & AI Developer, if your background includes:
Must Have:
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Experience — 3–5 years total; 1–2 years GenAI/LLM; 6–12 months Lang Graph; 2–3 projects with working code.
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Lang Graph — State graphs, conditional routing, checkpointing — primary framework, non-negotiable.
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Lang Chain — Chains, memory, custom tools — solid foundational knowledge.
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AWS Agent Core — Hands-on preferred; strong Lang Graph depth with ramp path acceptable.
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AWS Bedrock — Model invocation, knowledge bases, guardrails.
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Database & AI Data Access — SQL proficiency, NL-to-SQL, LLM-powered query and insight patterns. Snowflake a plus.
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RAG Pipelines — End-to-end: chunking, embeddings, retrieval, evaluation.
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Vector Databases — Pinecone, ChromaDB, Open Search, or FAISS — hands-on with at least one.
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Python — Production-quality — type hints, async/await, FastAPI, Pydantic.
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Multi-Model — OpenAI, Claude, Gemini, Llama — understand trade-offs across providers.
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Pro Code vs Low Code — Copilot Studio and Power Automate — build when use case fits.
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AI Development Tools — Claude Code, GitHub Copilot, Cursor, or Cline — accelerate delivery; own and fix all generated code.
Good to Have:
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AWS Agent Core Deep — Runtime, Memory, Tools Gateway hands-on.
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MCP / A2A — Server/client implementation or protocol awareness.
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Enterprise Integration — SAP HANA, Salesforce connectors.
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Document Intelligence — OCR, layout-aware chunking.
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Evaluation Frameworks — RAGAS, Promptfoo, Deep Eval
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Certifications — AWS, GCP, or Azure AI/ML.
What’s in it For You?
- Hybrid Work Model:
We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance:
Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- Career Development and Growth:
By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits:
We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture:
Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact:
Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact:
We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com.
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Thomson Reutersについて

Thomson Reuters
PublicThomson Reuters Corporation is a Canadian multinational content-driven technology conglomerate. The company was founded in Toronto, Ontario, and maintains its headquarters in the city at 19 Duncan Street.
10,001+
従業員数
Toronto
本社所在地
$43B
企業価値
レビュー
4.1
41件のレビュー
ワークライフバランス
4.0
報酬
4.5
企業文化
4.1
キャリア
4.1
経営陣
3.7
79%
友人に勧める
良い点
Cutting-edge technology stack and interesting technical challenges
Competitive compensation packages with equity
Strong engineering culture with focus on code quality
改善点
Some legacy systems that need modernization
Fast-paced environment with tight deadlines
Internal politics in some teams
給与レンジ
44件のデータ
Associate
Junior/L3
Mid/L4
Associate · SALESFORCE DATA SPECIALIST
1件のレポート
$106,378
年収総額
基本給
$92,502
ストック
-
ボーナス
-
$106,378
$106,378
面接体験
2件の面接
難易度
3.0
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
ニュース&話題
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