Project Role : Custom Software Engineer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Generative AI
Good to have skills : Python (Programming Language)
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Custom Software Engineer, a typical day involves designing, building, and configuring applications tailored to fulfill specific business processes and application needs. This role requires engaging with various stakeholders to understand requirements and translating them into functional software solutions. The workday often includes collaborating with team members to ensure that applications are aligned with organizational goals and are scalable, reliable, and efficient. Continuous refinement and adjustment of software components to meet evolving business demands are also key aspects of the daily routine.

Roles & Responsibilities:

- Design and develop LLM-powered applications for conversational AI, knowledge retrieval, and insights delivery
- Build and orchestrate end-to-end GenAI pipelines, including prompt engineering, RAG, and agent-based workflows
- Develop and manage LLM agents (tool usage, API integration, function calling)
- Integrate LLMs across cloud and on-prem/open-source environments
- Build RAG data pipelines (chunking, indexing, metadata enrichment)
- Implement evaluation frameworks covering accuracy, hallucination, latency, safety, and validation (LLM-as-judge, human-in-loop)
- Apply AI safety and guardrails,



including prompt injection prevention and response validation
- Optimize models using prompt tuning, embeddings, and fine-tuning techniques
- Develop multimodal conversational experiences (text and voice)
- Build scalable backend services using microservices and REST APIs
- Enable observability (latency, token usage, cost, drift, quality monitoring)
- Contribute to POCs, experimentation, and adoption of emerging GenAI technologies .

Professional & Technical Skills:

- Must To Have Skills: Java / J2EE, Spring Boot, RESTful APIs Python for AI/ML and GenAI workflows

Good To Have Skills:

- Experience with Speech-to-Text (STT) and Text-to-Speech (TTS) integrations
- Familiarity with GenAI observability (latency, drift, token usage, cost monitoring)
- Experience with experimentation frameworks (A/B testing for prompts and models)
- Exposure to real-time/streaming AI systems (token streaming, WebSockets)
- Understanding of multi-agent systems and autonomous workflows
- Exposure to enterprise-scale, customer-facing AI platforms
- Strong understanding of software development life cycle and best practices.
- Ability to write clean, maintainable, and efficient code.
- Experience with debugging, troubleshooting, and optimizing applications.
- Familiarity with version control systems and team-oriented development workflows.

Additional Information:

- The candidate should have minimum 3 to 5 years of experience in Python (Programming Language) & Gen AI.
- This position is based at our Chennai office.
- A 15 years full time education is required.

15 years full time education

📌 Custom Software Engineer (India)
🏢 Accenture
📍 India