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Enterprise Software & Network Solutions · 51 to 200 Employees · New York, US
1 open role0 posted in 7d1 in 30d
Work-life balance 4.5Compensation & benefits 4.1Culture & values 4.4
Hiring: Engineering
What employees say
+ I enjoy working here because I’ve had the opportunity to learn many things beyond my usual job responsibilities. The work can sometimes require finding the right approach to solve
− So far, I haven’t faced any major issues. Like any growing organization, there are always opportunities to improve processes and ways of working, but overall, my experience has bee
More reviews on the company profile.
Interview experience · AI Software Engineer
It was good and I was able to introduce about myself now I am continuing with second interview looking forward for feedback . It was wonderful experience. ok got it
Average difficulty · Mumbai · 2 reports
More interview insightsJob description
Hybrid
Overview
Job Role: Full Stack Principal Engineer, AI Platform
Responsibilities
- Lead the architecture, design, and development of core components of the AI Platform.
- Drive technical direction across frontend, backend, infrastructure, and platform services.
- Design scalable, reliable, secure, and maintainable systems for complex AI agent workloads.
- Solve complex and ambiguous technical problems and make sound architectural decisions considering scalability, performance, reliability, cost, and time-to-market.
- Identify architectural bottlenecks and technical risks and proactively drive solutions.
- Establish engineering best practices across system design, code quality, testing, security, observability, and maintainability.
- Design and build end-to-end features across frontend and backend systems.
- Develop scalable APIs, services, and core libraries that power AI applications and agents.
- Build developer-facing tools and intuitive interfaces for interacting with AI models, agents, and data.
- Design and develop infrastructure for securely running and orchestrating AI agents and AI workloads in production.
- Integrate AI/ML models, data pipelines, and emerging AI capabilities into production systems.
- Build modular platform components that can evolve with advances in AI technology.
- Architect systems for high performance, availability, scalability, and fault tolerance.
- Drive improvements in platform reliability, latency, resource utilization, observability, and developer experience.
- Contribute to the long-term technical roadmap of the AI Platform and evaluate emerging technologies relevant to AI/ML systems.
- Provide technical mentorship and guidance to engineers and help raise engineering standards across the organization.
- Lead technical design discussions, architecture reviews, code reviews, and complex problem-solving sessions.
- Collaborate with product, ML, data, and engineering teams to translate business requirements into effective technical solutions.
- Own initiatives from concept and architecture through implementation, deployment, and continuous iteration.
Qualifications
- Strong frontend experience with React, TypeScript, or similar technologies.
- Strong backend development experience with Python, Go, or similar languages.
- Strong understanding of REST, GraphQL, and API/service architectures.
- Strong experience with AWS, GCP, or Azure.
- Strong understanding of CI/CD, DevOps, observability, and production operations.
- Familiarity with AI/ML frameworks, model-serving infrastructure, or AI application architectures.
- Exceptional systems-thinking and problem-solving abilities.
- Strong technical judgment with the ability to evaluate complex engineering trade-offs.
- Ability to operate independently in ambiguous and rapidly evolving environments.
- Excellent communication and collaboration skills with both technical and non-technical stakeholders.
- Demonstrated ability to mentor engineers and raise the technical bar across teams.
- Strong ownership and accountability for technical outcomes and business impact.
- Exposure to security, compliance, privacy, or government-focused environments.
- Ownership & Accountability: Drive initiatives to completion with high standards and proactive problem-solving.
- Transparency & Communication: Share information openly and give and receive constructive feedback.
- Strategic Thinking & Problem-Solving: Analyze challenges critically and develop effective, scalable solutions.
- Collaboration & Professionalism: Work effectively across teams and contribute to a culture of mutual respect.
- Passion for AI & Innovation: Stay curious, continuously learn, and push the boundaries of AI.
- Going Beyond the Job Description: Look for opportunities to create impact beyond your immediate responsibilities.
- Competitive Salary: Aligned with experience and market standards.
- Mediclaim: ₹10 lakh coverage for you and your family.
- Flexible PTO & Hybrid Work: Take time off when needed and enjoy remote flexibility in accordance with company guidelines.
- Growth & Development: Access to professional learning opportunities and career advancement support.
- Onsite Perks: Catered lunches and snacks.
- Team Bonding: Company-sponsored social events and team activities.
Education
- Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a related field or Master's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related technical field from a Tier I institution.
- 10+ years of experience in software engineering, with significant experience designing and building scalable production systems and platforms.
- Proven experience owning complex, high-impact engineering initiatives from architecture through production.
- Strong experience with software architecture, system design, distributed systems, and scalable platforms.
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Job application FAQ
Last updated 1 October 2026
- How do I apply for Principal Engineer, AI Platform at Accrete?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Accrete may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Principal Engineer, AI Platform role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Principal Engineer, AI Platform remote or on-site in Mumbai, Maharashtra?
- This listing is marked hybrid with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Principal Engineer, AI Platform role at Accrete?
- This is a principal Principal Engineer, AI Platform role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.