UiPath Advanced Developer Module Lead
Sopra Steria is hiring an UiPath Advanced Developer Module Lead in Noida, India. Level rates it ; you can apply on Sopra Steria.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include OpenAI, Mistral and Llama.
- Level classifies it as a lead role.
- Level lists 2,000+ other open roles at Sopra Steria.
AI in this role
About Sopra Steria
Sopra Steria, a major Tech player in Europe with 51,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2025, the Group generated revenues of €5.6 billion.
The world is how we shape it.
Role Summary
We are looking for a Senior RPA & Hyperautomation Developer with strong expertise in UiPath, Intelligent Automation, AI/ML, and Generative AI technologies. The candidate will be responsible for designing, developing, and supporting enterprise automation solutions while driving innovation through AI-powered automation, document intelligence, and LLM-based use cases.
The ideal candidate should have hands-on experience in automation delivery and exposure to developing AI-powered solutions using Python, Machine Learning frameworks, and modern LLM ecosystems.
Key ResponsibilitiesRPA Development
- Design, develop, test, and deploy automation solutions using UiPath.
- Develop attended and unattended bots using UiPath REFramework.
- Configure and manage UiPath Orchestrator.
- Perform root cause analysis and resolve production issues.
- Conduct code reviews and enforce development standards.
Hyperautomation & AI
- Identify automation opportunities using Process Mining, Task Mining, and AI-based assessments.
- Implement Intelligent Document Processing (IDP) solutions.
- Develop automation workflows integrating AI and Machine Learning models.
- Create AI-assisted business process automations.
GenAI & LLM Development
- Develop and implement RAG-based solutions.
- Build AI Assistants and enterprise chatbots.
- Design prompt engineering frameworks.
- Integrate OpenAI, Azure OpenAI, Llama, Mistral, DeepSeek, or similar models into automation workflows.
- Fine-tune open-source LLMs for domain-specific business use cases.
- Develop AI agents using modern orchestration frameworks.
Machine Learning
- Develop predictive and classification models using Python.
- Build data preprocessing and feature engineering pipelines.
- Deploy and monitor ML models in production environments.
- Collaborate with business teams to identify AI use cases.
Integration & Development
- Develop API integrations with enterprise applications.
- Integrate automation solutions with SAP, Salesforce, SharePoint, ServiceNow, Oracle, and Microsoft platforms.
- Build automation dashboards and monitoring capabilities.
Total Experience Expected: 04-06 years
Educational Qualification
- Bachelor’s Degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, Data Science, or a related discipline.
- Master's Degree (M.Tech / MCA / MBA-IT / Data Science) is preferred but not mandatory.
Technical Qualifications
- Strong expertise in UiPath Studio, Orchestrator, REFramework, Document Understanding, and AI Center.
- Hands-on development experience using Python for AI/ML solutions.
- Experience with Generative AI technologies including OpenAI, Azure OpenAI, LangChain, LangGraph, LlamaIndex, or similar frameworks.
- Exposure to LLM fine-tuning, Prompt Engineering, Retrieval Augmented Generation (RAG), AI Agents, and Vector Databases.
- Good knowledge of SQL, APIs, JSON, XML, and enterprise application integrations.
- Experience with Cloud platforms such as Microsoft Azure is desirable.
UK Shift
Preferred Certifications
- UiPath Certified Professional Advanced Developer.
- UiPath AI Center Specialist Certification.
- Microsoft Azure AI Engineer Associate (AI-102).
- Microsoft Azure Data Scientist Associate (DP-100).
- Microsoft Power Platform Developer Associate (PL-400).
- Generative AI / LLM Certifications from Microsoft, OpenAI, AWS, Google, or equivalent.
Soft Skills & Competencies
- Excellent analytical and problem-solving skills.
- Strong verbal and written communication skills.
- Ability to interact with business stakeholders and clients.
- Experience mentoring junior developers.
- Strong ownership, innovation mindset, and ability to work independently.
- Passion for emerging technologies including Hyperautomation, Agentic AI, and Large Language Models (LLMs).
Nice to Have
- Experience with UiPath Agent Builder.
- Exposure to Process Mining (Celonis, UiPath Process Mining).
- Experience building AI-powered copilots and enterprise chatbots.
- Exposure to MLOps, model deployment pipelines, and open-source LLMs such as Llama, Mistral, DeepSeek, Qwen, or Falcon.
- Knowledge of Power Platform (Power Apps, Power Automate, Power BI).
At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.
All of our positions are open to people with disabilities.
How we rate this
UiPath Advanced Developer Module Lead at Sopra Steria rates 91 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- How do you monitor a model once it's live, and how do you know it needs retraining?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, Fine-tuning, and ML Ops. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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