Staff Software Engineer/ Solution Architect
Epiq (company site, opens in a new tab)12+ yrsHyderabadHybridDirect career pageEst. 35–55 LPA
Posted on 28 Sept
Reach people at Epiq
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Epiq you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable, secure, and maintainable AI-powered software solutions integrated into enterprise products.
- Collaborate with business stakeholders, product owners, data scientists, and engineering teams to translate complex business needs into technical architectures and development deliverables.
- Lead technical decision-making, mentor engineers, and ensure engineering best practices across software development, AI deployment, and data pipeline management.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, IT, Software Engineering, or related field.
- Minimum 12 years of experience in full stack software development, solution design, data engineering, and AI/ML implementation.
- Proficiency in Python and Java, experience with Generative AI production deployments, cloud platforms (Azure/AWS), DevOps tools, and modern frontend frameworks (React).
- Strong knowledge of AI concepts including LLMs, RAG, Agentic AI, prompt engineering, and familiarity with machine learning frameworks like TensorFlow or PyTorch.
Ideal Candidate Profile
- Experienced in designing enterprise-grade scalable architectures integrating AI capabilities with strong full stack development skills.
- Demonstrated ability to lead cross-functional teams involving business, engineering, and data science stakeholders to drive solution design and delivery.
- Experienced with modern cloud environments and DevOps, able to adopt emerging technologies and foster engineering excellence.