Job Purpose:
The Principal Engineer is a senior technical leader responsible for driving the design,
implementation, and management of scalable, secure, and highly available AI solutions that
power portfolio of digital products for the public and private sectors. This role blends
deep technical expertise with strategic thinking and hands-on leadership — setting
architectural direction, championing AI-assisted engineering practices, and mentoring
engineers to build the next generation of intelligent, cloud-native applications. The Principal
Engineer partners closely with the Head of Engineering, product leaders and cross-functional
teams to translate complex business and user needs into resilient, future-ready technical
solutions grounded in open-source principles and modern cloud architecture.
Job Duties and Responsibilities:
• Lead the end-to-end design, architecture and delivery of scalable, secure and highly
available AI-powered solutions across product portfolio.
• Define and evolve the technical vision for AI/ML platforms, including LLM-based
applications, RAG pipelines, agentic workflows and ML model lifecycle management.
• Architect distributed, cloud-native systems leveraging AWS, Azure, and/or GCP —
ensuring high availability, fault tolerance, observability and cost efficiency across multi
cloud environments.
• Champion the adoption of AI-assisted development practices (e.g.Claude Code,
Cursor, GitHub Copilot or other agentic coding tools) to accelerate engineering velocity
and elevate code quality across teams.
• Drive the evaluation, selection and integration of open-source frameworks, libraries,
and platforms to build sustainable, vendor-agnostic solutions aligned with
hybrid-source philosophy.
• Provide hands-on technical leadership — writing production-grade code, building
proof-of-concepts and prototypes, reviewing pull requests and shaping critical design
decisions across multiple teams.
• Establish engineering excellence standards across security, performance, scalability,
observability, accessibility and privacy compliance — with special focus on responsible
and ethical AI practices.
• Mentor and grow senior engineers, tech leads and architects through coaching, design
reviews, technical deep-dives and structured feedback — building a strong engineering
bench.
• Partner with the Head of Engineering, Product and Solutions teams to align technical
strategy with business outcomes, customer needs and long-term product roadmaps.
• Lead cross-team architectural reviews and serve as the principal authority on technical
trade-offs, build-vs-buy decisions and platform standardization.
• Define and guide DevOps, SRE and MLOps practices — including CI/CD, infrastructure
as-code, model deployment, monitoring and continuous evaluation of AI systems.
• Stay at the forefront of emerging trends in Generative AI, LLMs, agentic systems, and
applied ML — actively bringing innovation back into products and engineering
culture.
• Represent engineering organization in technical forums, customer conversations,
open-source communities, and industry events as needed.
• Champion a culture of psychological safety, continuous learning, experimentation,
open knowledge-sharing, and shared ownership of outcomes.
Requirements
Required Qualifications:
Education:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or
equivalent professional experience.
Experience
• 12+ years of professional software engineering experience, with at least 3+ years in a
Principal Engineer, Staff Engineer or Enterprise Architect role.
• Proven track record of architecting and delivering large-scale, production-grade AI/ML
or data-intensive solutions in cloud environments.
• Demonstrated experience designing and operating highly available, distributed
systems serving enterprise or public sector customers.
• Hands-on experience leading the productionization of AI/ML workloads — including
LLM-based applications, RAG systems, vector databases, prompt engineering, fine
tuning or agentic workflows.
Technical Skills:
• Deep expertise in scalable architecture patterns: microservices, event-driven systems,
distributed computing, caching, queueing and high-throughput data pipelines.
• Strong proficiency across multiple cloud platforms (AWS, Azure, GCP) — including
compute, storage, networking, identity, container orchestration (Kubernetes, ECS, AKS),
and managed AI/ML services (Bedrock, SageMaker, Azure OpenAI, Vertex AI).
• Strong hands-on coding ability in one or more modern backend
languages/frameworks such as Python, Java, Node.js or Go.
• Working knowledge of frontend frameworks such as React, Vue, or Angular, and the
ability to reason about full-stack performance and architecture.
• Practical experience with AI/ML frameworks and ecosystems: PyTorch, TensorFlow,
scikit-learn, Hugging Face, LangChain/LlamaIndex, OpenAI/Anthropic/Bedrock APIs,
vector databases.
• Strong command of AI-assisted development tools and workflows (Claude Code,
GitHub Copilot, Cursor or any other agentic coding agents) and ability to operationalize
them across an engineering organization.
• Solid understanding of DevOps, SRE and MLOps practices: CI/CD, IaC (Terraform,
CloudFormation), containerization (Docker, Kubernetes), observability (Prometheus,
Grafana, OpenTelemetry) and model monitoring.
• Deep understanding of secure coding practices, identity and access management,
data privacy, accessibility and compliance frameworks relevant to enterprise and
public sector software.
• Experience with process orchestration and workflow tools (e.g., M8Flow, Camunda,
Airflow, Temporal) is a strong plus.
Leadership & Communication:
• Proven ability to lead through influence — driving alignment across engineering teams,
product, design and executive stakeholders without direct reporting authority.
• Excellent written and verbal communication skills, with the ability to translate complex
technical concepts for both technical and non-technical audiences.
• Strong mentorship and coaching skills, with a track record of growing senior engineers
and tech leads.
• Skilled in agile development methodologies and iterative, customer-centric delivery.
Preferred Qualifications:
• Hands-on experience building and deploying agentic AI systems, multi-agent
orchestration or tool-using LLM applications in production.
• Experience contributing to or leading open-source projects, or managing hybrid
source software portfolios.
• Background in low-code/no-code platforms, BPMN-based process automation (e.g.,
Camunda, M8Flow), or workflow orchestration products.
• Familiarity with government digital standards, procurement environments, and
compliance regimes (e.g., SOC 2, ISO 27001, GDPR, HIPAA, FedRAMP).
• Exposure to responsible AI practices — bias evaluation, model governance, AI safety,
and red-teaming of LLM systems.
• Experience presenting at conferences, publishing technical content, or contributing to
industry communities around AI, cloud or software architecture.
• Certifications in cloud architecture (AWS/Azure/GCP) or AI engineering are an added
advantage.
Working Conditions:
• Work Arrangement: This is an opportunity based out of our Trivandrum office.
• Travel Requirements: Occasional travel may be required for team meetings, customer
engagements, industry conferences or knowledge-sharing forums.
• On-Call Requirements: Light on-call rotation may be required to support critical
production systems, depending on operational needs.
• Hours of Work: Monday to Friday, 40 hours per week, with overlap with PST required as
needed to collaborate with global teams.
Our values guide how we work, collaborate, and grow as a team.
• Innovation: We pursue true innovation by solving problems and meeting unarticulated
needs.
• Integrity: We hold ourselves to high ethical standards and never compromise.
• Ownership: We are all responsible for our shared long-term success.
• Agility: We stay ready to adapt to change and deliver results.
• Collaboration: We believe collaboration and knowledge-sharing fuel innovation and
success.
• Empowerment: We support our people so they can bring the best of themselves to work
every day.
Our values guide how we work, collaborate, and grow as a team.
• Innovation: We pursue true innovation by solving problems and meeting unarticulated
needs.
• Integrity: We hold ourselves to high ethical standards and never compromise.
• Ownership: We are all responsible for our shared long-term success.
• Agility: We stay ready to adapt to change and deliver results.
• Collaboration: We believe collaboration and knowledge-sharing fuel innovation and
success.
• Empowerment: We support our people so they can bring the best of themselves to work
every day.
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