Principal AI Applications Engineer at Deltek in India | Kablio

Role

Description

technical expertise

code quality

technical debt

proof‑of‑concepts

prompt engineering

ml integration

Provide deep technical expertise on critical implementation challenges affecting multiple teams, offering solutions based on extensive hands-on experience
Champion code quality, comprehensive testing, security best practices, and operational excellence
Identify and resolve complex technical debt that impacts multiple teams
Drive innovation through hands-on proof-of-concepts exploring novel approaches to ERP challenges
Serve as technical advisor to architects and engineering leadership on implementation feasibility and development best practices
Mentor and develop senior engineers, elevating implementation capabilities across the engineering organization
Develop reference implementations and coding patterns that other engineers follow when building AI-enhanced features
Implement sophisticated prompt engineering and LLM integration solutions, ensuring security, performance, and cost-effectiveness
Implement the most technically challenging features of the AI-powered ERP platform, serving as the go-to expert for complex integration and performance challenges
Collaborate with architects to validate technical approaches through proof-of-concepts and prototypes
Build production-ready ML integration code utilizing infrastructure provided by the dedicated AI/ML infrastructure team

Requirements

java

python

postgresql

ai/ml

cloud

security

Development Best Practices: Experience establishing coding standards, testing patterns, and development workflows that improve team productivity
AI/ML Integration: Comprehensive expertise in implementing LLM systems, prompt engineering at scale, RAG architectures, and model integration
Database: Expert-level implementation skills with PostgreSQL including performance optimization, complex query development, and multi-tenant data patterns
Pragmatic Thinking: Ability to balance code quality with delivery timelines, provide practical technical guidance, and align development work with business goals
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science, or related field
Security: Strong understanding of implementing security controls, authentication/authorization, and data protection
Programming Languages: Master-level expertise in Java, Python, and ability to work effectively in multiple languages
Deep expertise in implementing enterprise software and AI/ML integrations with production deployments at scale
API & Integration: Deep expertise in implementing robust APIs, integration patterns, and extensible features
Leadership & Communication: Exceptional ability to communicate complex technical concepts and influence development approaches through collaboration
Proven track record of solving complex implementation challenges that enabled significant business outcomes
Demonstrated history of technical leadership through exceptional implementation quality on large-scale, business-critical systems
Observability & Reliability: Expert in leveraging comprehensive monitoring, logging, and error handling
Experience providing technical guidance and mentoring senior engineers
10+ years of professional software engineering experience with extensive hands-on AI/ML systems implementation
Implementation Expertise: Deep expertise in implementing distributed systems, microservices, event-driven patterns, and domain-driven design
Cloud & Infrastructure: Expert knowledge of implementing cloud solutions and working with managed services across AWS/Azure/OCI

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

1983 Founded

Year Established

The company was established in 1983, marking the beginning of its journey as a leading enterprise software provider.

Deltek's core mission revolves around delivering solutions that streamline project management, improve productivity, and ensure financial performance.
The company’s flagship software solutions support industries like architecture, engineering, construction, government, and professional services.
Deltek's software suite aids organizations in everything from project planning and execution to resource management and financial reporting.
Over its growth, Deltek has expanded globally, with a strong presence in North America, Europe, and Asia.
Deltek's tools empower businesses to maximize efficiency, mitigate risks, and scale operations in complex project environments.
The company continuously innovates by integrating cloud-based solutions and artificial intelligence, staying ahead of industry trends.

Culture + Values

Committed to delivering value to customers.
A culture of innovation to address complex customer challenges.
Committed to conducting business ethically and transparently.
Fosters teamwork and respects diverse perspectives to achieve success.
Dedicated to exceeding expectations and delivering high-quality solutions.

Environment + Sustainability

2040 Goal

Net Zero Emissions

Commitment to achieving net zero emissions by the specified year.

Reducing carbon footprint through energy efficiency and可持续 practices.
Utilizing renewable energy sources to power global offices.
Actively integrating sustainability across product offerings.

Inclusion & Diversity

50% by 2025

Gender Diversity Goal

Targeting 50% female representation in leadership roles.

45% in 2023

Women in Leadership

45% of leadership roles were held by women in the current year.

Focuses on an inclusive workplace strategy.
Launched employee resource groups to support diverse communities.

Articles

Careers at Deltek

Deltek Blog

Deltek News

Role

Description

technical expertise

code quality

technical debt

proof‑of‑concepts

prompt engineering

ml integration

Provide deep technical expertise on critical implementation challenges affecting multiple teams, offering solutions based on extensive hands-on experience
Champion code quality, comprehensive testing, security best practices, and operational excellence
Identify and resolve complex technical debt that impacts multiple teams
Drive innovation through hands-on proof-of-concepts exploring novel approaches to ERP challenges
Serve as technical advisor to architects and engineering leadership on implementation feasibility and development best practices
Mentor and develop senior engineers, elevating implementation capabilities across the engineering organization
Develop reference implementations and coding patterns that other engineers follow when building AI-enhanced features
Implement sophisticated prompt engineering and LLM integration solutions, ensuring security, performance, and cost-effectiveness
Implement the most technically challenging features of the AI-powered ERP platform, serving as the go-to expert for complex integration and performance challenges
Collaborate with architects to validate technical approaches through proof-of-concepts and prototypes
Build production-ready ML integration code utilizing infrastructure provided by the dedicated AI/ML infrastructure team

Requirements

java

python

postgresql

ai/ml

cloud

security

Development Best Practices: Experience establishing coding standards, testing patterns, and development workflows that improve team productivity
AI/ML Integration: Comprehensive expertise in implementing LLM systems, prompt engineering at scale, RAG architectures, and model integration
Database: Expert-level implementation skills with PostgreSQL including performance optimization, complex query development, and multi-tenant data patterns
Pragmatic Thinking: Ability to balance code quality with delivery timelines, provide practical technical guidance, and align development work with business goals
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science, or related field
Security: Strong understanding of implementing security controls, authentication/authorization, and data protection
Programming Languages: Master-level expertise in Java, Python, and ability to work effectively in multiple languages
Deep expertise in implementing enterprise software and AI/ML integrations with production deployments at scale
API & Integration: Deep expertise in implementing robust APIs, integration patterns, and extensible features
Leadership & Communication: Exceptional ability to communicate complex technical concepts and influence development approaches through collaboration
Proven track record of solving complex implementation challenges that enabled significant business outcomes
Demonstrated history of technical leadership through exceptional implementation quality on large-scale, business-critical systems
Observability & Reliability: Expert in leveraging comprehensive monitoring, logging, and error handling
Experience providing technical guidance and mentoring senior engineers
10+ years of professional software engineering experience with extensive hands-on AI/ML systems implementation
Implementation Expertise: Deep expertise in implementing distributed systems, microservices, event-driven patterns, and domain-driven design
Cloud & Infrastructure: Expert knowledge of implementing cloud solutions and working with managed services across AWS/Azure/OCI

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found