Custom Software Engineer
Quick Summary
1. Design, develop, test and maintain GenAI and Agentic AI solutions using Python and appropriate AI frameworks.2. Develop AI agents, agentic workflows and integrations with LLMs, APIs,
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Python (Programming Language)
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We are looking for a GenAI/Agentic AI Developer with 2–5 years of hands-on software development experience and practical experience building Generative AI and Agentic AI solutions. The role will focus on developing AI agents, agentic workflows and LLM-powered applications using Python and appropriate AI frameworks and platforms.
Roles & Responsibilities:
1. Design, develop, test and maintain GenAI and Agentic AI solutions using Python and appropriate AI frameworks.
2. Develop AI agents, agentic workflows and integrations with LLMs, APIs, enterprise applications, databases, knowledge bases and external tools.
3. Design and optimize prompts, implement RAG and retrieval mechanisms, and experiment with models, tools and agentic approaches to improve solution quality.
4. Implement testing, validation, error handling, logging and guardrails, troubleshoot AI-generated outputs, and collaborate with architects, developers, QA and business stakeholders.
Professional & Technical Skills
1. Strong proficiency in Python with experience developing production-quality applications, APIs, reusable components, testing, debugging and performance optimization.
2. Hands-on experience with GenAI/LLM application development, prompt engineering, context management, tokens, model parameters, embeddings and tool/function calling.
3. Hands-on experience developing AI agents and agentic workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, Amazon Bedrock Agents or equivalent.
4. Good understanding of REST APIs, LLM integrations, RAG, embeddings, vector databases, semantic search and knowledge retrieval.
Additional Information:
1. Exposure to MCP, multi-agent architectures, cloud GenAI services such as Amazon Bedrock/OpenAI/Anthropic/Azure OpenAI, AI evaluation, guardrails, Responsible AI and hallucination mitigation is preferred.
2. Exposure to Docker, CI/CD, cloud deployment, vector databases and enterprise GenAI/Agentic AI use cases is desirable.
3. Good understanding of Agile development practices and ability to document prompts, agent workflows, implementation approaches and technical decisions.
15 years full time education
Visit us at www.accenture.com
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Location & Eligibility
Listing Details
- Posted
- September 22, 2026
- First seen
- September 29, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- September 29, 2026
Signal breakdown
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