Lead Developer – AIML Recommendation
Job Location:
Hanover, PA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Job Summary:
Connected is a multi-year strategic program to digitally transform Sales Recruiting and Marketing capabilities for Allegis Group and its operating companies. Our Recommendation system handle information/data at massive scale and extend well beyond search. Were looking for engineers who bring fresh ideas from all areas including information retrieval distributed computing large-scale system design networking and data storage security artificial intelligence natural language processing; the list goes on and is growing every day. As a Lead Developer - AI ML Recommendation you will work role on a specific project critical to Connected Program that responsible for researching designing developing and optimizing innovative solutions on the Recommendation System to enable critical business functions and deliver a great user experience. We need our engineers to be versatile display leadership qualities and be enthusiastic to take on new problems across the full stack as we continue to push technology forward.
The Apps Developer - AI ML Recommendation operates at the intersection of Recommendation engine ML Agent data platforms and user workflows validating outcomes quickly and informing scale decisions. This role is critical to modernize the recommendation platform with AI/ML which will help the team to implement Agentic AI solution for business need.
TheLead Developeris responsible for:
- Developing new and enhancing existing solutions refactoring when needed to optimize implementation and reduce technical debt
- Lead the design and implementation of recommendation systems optimize ML infrastructure and guide the development of model architecture.
- Defining team design and development standards and complying with platform standards to best leverage the Recommendation platform
- Provide technical leadership from development through execution to deliver high-quality products
- Coaching and leading development team members
- Engaging with other teams providing thought leadership and technical expertise within Connected and across the enterprise
Essential Functions:
Research design develop and optimize scalable solutions for the recommendation system that enable critical Sales Recruiting and Marketing business functions across Allegis Group and its operating companies.
- Lead the modernization of the recommendation platform using AI/ML techniques including the design and implementation of Agentic AI solutions to meet evolving business needs.
- Architect and build large-scale distributed systems spanning information retrieval recommendation engines ranking and candidate/job matching workflows.
- Apply machine learning natural language processing and related AI methods to improve recommendation relevance quality and user experience.
- Own technical direction for assigned projects translating ambiguous business problems into well-defined technical designs and delivery plans.
- Rapidly prototype validate outcomes and run experiments (e.g. A/B tests offline evaluation) to inform model architecture and scale decisions.
- Optimize systems for performance scalability reliability and cost across large data volumes and high-throughput workloads.
- Collaborate cross-functionally with product data science platform enterprise architecture and operating-company stakeholders to align technical solutions with business priorities.
- Provide technical leadership and mentorship to engineers setting standards for code quality system design and engineering best practices.
- Stay current with emerging techniques in AI/ML recommendation systems and distributed computing bringing fresh ideas to advance the platform.
Supervisory or Management Responsibility:
- Technical leadership across cross-functional teams.
- Mentoring engineers on rapid prototyping experimentation and pragmatic delivery.
- Influencing design and delivery standards without direct authority
Budget Responsibility:
- Contributes to licensing projections and vendor assessment
- Bachelors degree or equivalent practical experience.
- 8 years of experience in software development.
- 3 years of experience building and deploying recommendation systems models (retrieval prediction ranking embedding) in production and experience building architecture in different modeling domains.
- 3 years of experience leading ML/LLM design and optimizing ML infrastructure (e.g. model deployment model evaluation data processing debugging fine tuning).
- 3 years of experience with software design and architecture.
- Proficiency in one or more programming languages commonly used for large-scale and ML systems (e.g. Python Java Scala or Go).
- Familiarity with cloud platforms (e.g. AWS GCP or Azure) and modern data infrastructure and LLM.
- Strong problem-solving skills and the ability to translate ambiguous business needs into scalable technical solutions.
- Strong software engineering fundamentals including data structures algorithms system design and clean maintainable coding practices.
- Deep expertise in designing and building large-scale distributed systems that are performant scalable and reliable.
- Technical leadership skills including setting engineering standards driving design decisions and mentoring other engineers.
- Excellent collaboration and communication skills with the ability to work cross-functionally and convey complex technical concepts to both technical and business audiences.
- Self-directed and proactive with strong problem-solving instincts and enthusiasm for tackling new challenges.
- Applied knowledge of machine learning recommendation systems ranking and information retrieval with the ability to select and apply the right techniques to business problems.
- Proficiency in natural language processing and large language models including experience designing Agentic AI or LLM-based solutions.
- Skilled at rapid prototyping experimentation and outcome validation (e.g. A/B testing offline evaluation) to inform architecture and scale decisions.
- Strong ability to optimize systems for cost performance and throughput across massive data volumes.
- Versatility to contribute across the full stack and quickly ramp on new technologies domains and problem spaces.
- Ability to translate ambiguous business requirements into clear technical designs roadmaps and deliverables.
- Build relationships
- Develop people
- Lead change
- Inspire Others
- Think critically
- Communicate clearly
- Create Accountability
Benefits are subject to change and may be subject to specific elections plan or program terms. This role is eligible for the following:
- Medical dental & vision
- Hospital plans
- 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available
- Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
- Company paid Short and long-term disability
- Health & Dependent Care Spending Accounts (HSA & DCFSA)
- Transportation benefits
- Employee Assistance Program
- Tuition Assistance
- Time Off/Leave (PTO Allegis Group Paid Family Leave Parental Leave)
- $101100.00 - $172100.00
- This position is bonus eligible
- Individual compensation offered for this position within this range will depend on many factors including qualifications skills relevant experience job knowledge geographic location internal equity and other pertinent job-related factors.
The company is an equal opportunity employer and will consider all applications without regard to race sex age color religion national origin veteran status disability sexual orientation gender identity genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation such as the modification or adjustment of the job application process or interviewing process due to a disability please email Lauren Lara ator call for other accommodation options. |
Required Experience:
Senior IC
About Company
Allegis Group retired the "Talent2" name and re-branded its specialist recruitment professionals brand to Aston Carter. Aston Carter is a distinguished global provider of recruitment services to companies requiring highly specialised business professionals. We have an unrivalled comm ... View more
