Custom Software Engineer

Accenture
Posted on
Accenture logo

Experience
10 - 12 yrs
Salary (CTC)
₹8L - ₹8.8L
Job Location
Hyderabad, India
Vacancy
1
Designation
Software Engineer
Job Type
ONSITE

Job Description

Project Role : Custom Software EngineerProject 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 : Data ScienceGood to have skills : NAMinimum 12 year(s) of experience is requiredEducational Qualification : 15 years full time educationSummary: This is a key leadership role, responsible for overseeing and guiding complex technical projects, driving innovation leveraging AI, and ensuring the successful delivery of high- quality software products. This role involves a combination of hands-on technical work, strategic planning, and team leadership. If you have the drive to lead and mentor engineering teams, the ability to set a technology vision for greenfield/brownfield SaaS products and excellent communication skills to work with cross-functional teams, including product management and other stakeholders, this position is for you
  • Roles & Responsibilities:
  • Proven experience building AI-native products, platforms, or enterprise solutions.
  • Deep expertise in Generative AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, AI orchestration, and evaluation frameworks.
  • Strong hands-on software engineering experience with proficiency in Python and modern software development practices.
  • Expertise in designing and building scalable, distributed, and resilient systems.
  • Strong system design and architecture skills with experience creating reusable frameworks, platforms, APIs, and shared services.
  • Demonstrated ability to solve complex, ambiguous business and technical problems and translate them into scalable solutions.
  • Experience evaluating, benchmarking, and optimizing AI systems for quality, performance, scalability, and reliability.
  • Strong research mindset with experience conducting technical research, technology evaluations, and feasibility studies.
  • Demonstrated ability to analyze and synthesize research papers, industry publications, benchmarks, and emerging technologies into practical engineering solutions.
  • Proven track record of driving innovation from concept through prototyping, validation, and adoption across multiple teams.
  • Experience contributing to patents, invention disclosures, technical publications, open-source projects, or equivalent innovation initiatives.
  • Ability to influence technical direction and engineering practices across multiple teams without direct authority.
  • Strong communication, stakeholder management, and mentoring skills.
  • Experience establishing engineering standards, architectural best practices, and reusable patterns across organizations.Professional & Technical Skills:
  • Experience with model fine-tuning, model optimization, and advanced machine learning techniques.
  • Knowledge of ranking systems, recommendation systems, information retrieval, semantic search, and vector databases.
  • Experience with cross-encoders, reranking models, embeddings, and AI evaluation methodologies.
  • Experience building multi-agent systems, autonomous workflows, and advanced reasoning architectures.
  • Familiarity with Model Context Protocol (MCP), tool-calling frameworks, and agent integration patterns.
  • Experience building internal AI platforms, developer tooling, and engineering accelerators.
  • Knowledge of MLOps, LLMOps, model deployment, observability, and AI governance practices.
  • Experience with cloud-native architectures and services on Azure, AWS, or GCP.
  • Understanding of statistical modeling, experimentation frameworks, confidence calibration, and A/B testing.
  • Exposure to enterprise SaaS products and platform engineering.
  • Experience working in compliance, taxation, regulatory, finance, or other knowledge-intensive domains.
  • Active participation in technical communities, standards bodies, industry forums, or AI research groups.You will be working with a Trusted Tax Technology Leader, committed to delivering reliable and innovative solutionsQualification 15 years full time education
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