Intelligent Automation Developer

Dear Candidate

I hope this message finds you well!

We are looking for a skilled Intelligent Automation Developer to join our team!

Interested candidates can share their profles for [Confidential Information].

Experience: 5+ Years Experience

Location:Bangalore

Notice period : Immediate / Under 30 days

KEY RESPONSIBILITIES

Automation Development

▸ Design, develop, test, deploy, and maintain enterprise-grade automation solutions using Blue Prism and Python.

▸ Implement secure, scalable, and resilient automation frameworks with robust exception handling, monitoring, logging, and operational support.

▸ Evaluate business processes and identify opportunities where Generative AI can enhance or replace traditional automation approaches.

Generative AI & LLM Integration

▸ Integrate Large Language Models (LLMs) — such as OpenAI GPT, Claude, Amazon Bedrock, or other foundation models — into enterprise automation workflows.

▸ Design and develop AI-powered automation solutions including intelligent document processing, chatbot integrations, knowledge assistants, document summarisation, information extraction, and automated decision-making.

▸ Build and integrate AI Agents capable of interacting with enterprise systems, APIs, and business applications to execute complex multi-step workflows.

Engineering & Collaboration

▸ Develop reusable Python libraries and services for automation, AI integrations, data processing, and API orchestration.

▸ Design, consume, and integrate RESTful APIs and cloud services into automation solutions.

▸ Collaborate with cross-functional teams in an Agile environment to deliver high-quality intelligent automation solutions.

▸ Participate in architecture discussions, code reviews, and continuous improvement initiatives.

▸ Stay current with emerging AI technologies and recommend innovative solutions that create measurable business value.

REQUIRED SKILLS & EXPERIENCE

Intelligent Automation

▸ 5+ years of hands-on experience developing enterprise automations using Blue Prism.

▸ Strong understanding of Blue Prism architecture: Object Studio, Process Studio, Work Queues, Control Room, Release Management, and exception handling.

▸ Demonstrated experience designing, deploying, and supporting production automation solutions.

Python Development

▸ Strong proficiency in Python, with hands-on experience using core libraries including: pandas, NumPy, requests, openpyxl, and concurrent.futures.

▸ Experience building reusable Python modules and integrating Python with enterprise automation platforms.

Generative AI & LLMs

▸ Hands-on experience integrating Large Language Models into enterprise applications via APIs.

▸ Working experience with one or more of: OpenAI, Azure OpenAI, Amazon Bedrock, Anthropic Claude, or Google Gemini.

▸ Solid understanding of Prompt Engineering, Context Management, Function/Tool Calling, Structured Outputs, Token Management, and Model Evaluation.

AI Agents & Agentic AI

▸ Familiarity with Retrieval-Augmented Generation (RAG),vector databases and MCP concepts are advantageous.

APIs & Integration

▸ Strong knowledge of REST APIs, HTTP protocols, OAuth2, JWT, API Keys, and JSON/XML data formats.

▸ Proven experience integrating enterprise applications through APIs and web services.

Cloud & Infrastructure (AWS)

▸ Working knowledge of AWS services: EC2, Lambda, S3, RDS, IAM, CloudWatch, API Gateway, Amazon Bedrock, and VPC.

▸ Experience with Infrastructure as Code (Terraform) is an advantage.

▸ Familiarity with SageMaker is a plus.

Software Engineering

▸ Strong understanding of software engineering principles, design patterns, and secure coding practices.

▸ Experience with Git/GitLab, CI/CD pipelines, SQL, .NET/C#, and Agile/Scrum methodologies.

▸ Experience with Vault, Passport, or similar credential management solutions is preferred.

Regards,

Anjali Bhadra