Custom Software Engineer Python

Jointlook; Hyderabad; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Accenture Hyderabad seeks a Custom Software Engineer Python to design and implement AI-enabled software solutions, with strong focus on RAG pipelines and agentic workflows. You will build backend services, APIs, and integration layers connecting AI to enterprise systems, while working with cloud-native stacks.

The role requires 5+ years of software development experience, with expertise in Python, LLM-based systems, and CI/CD practices.

Qualifications

• Minimum 5 years of professional software development experience.
• Experience designing and building RAG pipelines, agentic workflows, or multi-model orchestration.
• Experience developing backend services, REST APIs, and enterprise integration solutions.

Responsibilities

• Design and develop RAG pipelines, agentic workflows, and multi-model orchestration across business domains.
• Build and optimise APIs, services, and integration layers connecting AI capabilities to enterprise data.
• Collaborate with US-based engineers to transform prioritised opportunities into production builds.

Skills

Python

LLM

RAG pipelines

Agentic workflows

REST APIs

Cloud platforms

CI/CD

Observability

Security

Education

15 years full time education

Tools

GitLab

MCP patterns

Job description

Custom Software Engineer Python

Full Time

Accenture

Location: Hyderabad, Telangana, India

Vacancies: 1

Posted: 11-08-2026

Experience: 5 to 10

Skills: Python (Programming Language)

Description

Project Role : Custom Software Engineer 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 5 year(s) of experience is required Educational Qualification : 15 years full time education

What You'll Do

• Design and develop RAG pipelines, agentic workflows, and multi-model orchestration that solve high-value, domain-specific use cases across lines of business.
• Build and optimise the APIs, services, and integration layers that connect AI capabilities to enterprise data and systems.
• Partner with US-based FDEs to turn prioritised, ROI-driven opportunities into production-ready builds.
• Implement agentic AI systems that improve reasoning, tool use, and interaction across complex, multi-step workflows, working within defined architectural patterns and reference implementations.
• Contribute to and utilise CI/CD pipelines (GitLab or equivalent) to enable automated build, test, and deployment workflows.
• Implement instrumentation, structured logging, and tracing to monitor AI system performance, cost, and output quality, in partnership with platform and SRE teams.
• Leverage AI-assisted development tools to improve code quality, accelerate development, and enhance debugging.
• Contribute design input within defined architectural frameworks and evaluate trade-offs at the component or feature level.
• Collaborate with product, architecture, and engineering partners to translate business requirements into scalable technical solutions.
• Apply and help uphold AI engineering standards for performance, security, reliability, and compliance across deployed solutions.

What You'll Bring

• 7+ years of professional software development experience, including hands-on experience building AI/ML or LLM-based systems.
• Experience designing and building RAG pipelines, agentic workflows, or multi-model orchestration.
• Experience developing backend services, REST APIs, and enterprise integration solutions using modern languages and frameworks.
• Experience with cloud platforms (AWS/Azure/GCP) and cloud-native application development.
• Experience integrating LLMs and agent frameworks with enterprise data and tooling, including connector/tool-use patterns (e.g., MCP) and retrieval and grounding strategies.
• Experience building and operating CI/CD pipelines (GitLab or equivalent).
• Experience incorporating observability into software solutions, including monitoring of AI system performance, cost and output quality.
• Understanding of secure application design (authentication/authorization patterns, secrets handling).
• Ability to operate effectively in environments with evolving requirements.
• Strong ownership mindset and clear technical communication skills.
• Experience using AI-assisted development tools to improve productivity and engineering outcomes.

Must Have Skills

• Hands-on experience building AI systems using LLMs - RAG, agentic workflows, or multi-model orchestration.
• Experience with cloud platforms (AWS/Azure/GCP) and cloud-native development.
• Experience developing backend services, REST APIs, and integration layers that connect AI capabilities to enterprise systems.
• Experience with agent and tool-use frameworks, including connector patterns (e.g., MCP).

Nice-to-Have

• Experience designing high-throughput, low-latency distributed systems.
• Experience with prompt engineering and LLM evaluation frameworks.
• Experience with AI observability - output evaluation, hallucination detection, or agent tracing.
• Familiarity with frontend technologies (e.g., React) for building end-user AI experiences.
• Experience leveraging AI for log analysis, anomaly detection, or operational insights.
• Experience working in a forward-deployed, consulting, or customer-facing engineering model.
• Experience delivering solutions across multiple lines of business or domains, matching engineering effort to business value.