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Software Engineer -Gen AI Inferencing | Onsite - (Dallas, Charlotte, New York)
The role involves designing, building, and operating reusable toolkits for Gen AI RAG capabilities while ensuring software meets functional and compliance requirements. The engineer will collaborate with product teams and data scientists to develop architecture components and automate release activities.
Requirements
Candidates must have 5+ years of experience in Python, Scala, or Java with expert-level development skills. Hands-on experience with AI/ML lifecycle management, GenAI, and containerization in production environments is required.
Full job description
"Required qualifications:
5+ years OOP in Python/Scala/Java programming experience with expert level development skills
Experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem.
-Hands on experience building frameworks using MLOps, Fine – Tuning techniques, Inference Frameworks
-Experience with deploying models using vLLM/Triton Inference Server in containers in production with automation.
-Performs Continuous Integration and Continuous Development (CI-CD) activities.
Performance Tuning those models and deployment to provide higher throughput.
-Track record of maintaining large scale Python/Unix based systems.
-Hands on experience and knowledge generative AI RAG process for various use cases, including chunking, embedding, retrieval, reranking and summarization.
-Hands-on experience in application development in one or more areas MongoDB, Redis, Angular/React Frameworks, Containerization, Building API based application leveraging FAST API services, JWT Integration, API Gateway
Develop efficient utilities, automation frameworks, data science platforms that can be utilized across multiple Data Science teams for AI/ML and GenAI work.
Working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs (e.g. VS Code rather than Jupyter Notebooks), Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing
Strong automation, scripting, and Python development skills. Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible)"
"Position Summary
- This position is focused on design, build, and operate of reusable toolkits for Gen AI RAG capabilities.
-This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns."
"Responsibilities:
Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
Automates manual release activities
Designs, develops, and maintains automated test suites (integration, regression, performance)
Utilizes multiple architectural components (across data, application, business) in design and development of client requirements
Manage multiple priorities, and simultaneously engage with multiple teams.
Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle.
Be vocal and actively participate in all session with business stakeholders and agile teams.
Collaborate with product teams, data analysts and data scientists to design and build solutions."
"Desired Qualifications
Experience building & deploying Gen AI inferencing platform with open-source toolsets, building inferencing & servicing capabilities (AI Gateway, Policy store, Observability) for RAG/ MCP use cases etc.
Hands on experience on driving and maintaining a culture of quality, innovation, and experimentation.
Research on new tools and capabilities for better UI and UX for advanced analytics platform, quick prototype and demonstrate the features and capabilities, and participate on various user forums."
Compensation, Benefits and Duration
Minimum Compensation: USD 44,000
Maximum Compensation: USD 154,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Photon, a global leader in AI and digital solutions, helps clients accelerate AI adoption and embrace #DHX
Industry
IT Services and IT Consulting
Company size
5,001-10,000 employees
Founded
2007
Headquarters
London
LinkedIn followers
630,887
Photon, a global leader in AI and digital solutions, helps clients accelerate AI adoption and embrace DigitalHyper-expansion® to ‘make tomorrow happen today’. We work with 40% of the Fortune 100, enabling them to stay agile and future-ready in an era of converging digital and AI boundaries. Powering billions of touchpoints a day, Photon combines AI management, digital innovation, product design thinking, and engineering excellence to drive lasting transformation for F500 clients. We employ several thousand people across dozens of countries. Learn more at www.photon.com
Offices: 192 / 198 Vauxhall Bridge Road, 2nd Floor, London, SW1V 1DX, GB · 5th Block, 2nd Floor, DLF IT Park 1/124 Mount Poonamallee Road Sivaji Gardens Manapakkam, Chennai, Tamil Nadu 600 089, IN · Voyager, ITPL, ITPL Road, 2nd Flr, Bengaluru, Karnataka 560066, IN · Clichy Pouchet, 92, Boulevard Victor Hugo, Clichy, 92110, FR · Jl. Hr. Rasuna Said Blok X2 No.6, RT.9/RW.4 23rd Fl Jakarta Selatan, DKI, Jakarta, Jakarta Selatan 12950, ID
Internet of ThingsAPI managementMobileBig Data & AnalyticsChatbotswebsite developmentcreative agencydigital strategysystems integratordigital agency
Based on 5955 listings with disclosed salaries, most engineering jobs in New York, NY pay between $80k–$225k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in New York, NY right now?
There are currently 7,071 open engineering positions in New York, NY listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in New York, NY?
Companies currently hiring include New York City Housing Authority (NYCHA), Amazon, Capgemini, JPMorganChase, New York Life, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in New York, NY?
Yes — 2853 of the 7071 open engineering positions offer remote or hybrid work (537 remote, 2316 hybrid).
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