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AI Software Engineer-Orchestration Specialist

Analytics Job ID: 1702238


This company is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using a proprietary, award-winning framework, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, they look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance.

Headquartered in NYC, they have more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.

The Analytics practice provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, the Analytics practice takes an industry-specific approach to transform clients’ decision making and embed analytics more deeply into their business processes.

The global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. The Analytics practice serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.


The ideal candidate will play a crucial role in building seamless connectivity between diverse components in Gen AI pipelines, optimizing workflows, and contributing to the development of front-end interfaces.


  • 5+ years of work experience working on various cloud technologies in ML deployment area with at least 1+ years of experience working on software engineering efforts for implementation of Gen AI pipelines.
  • Ability to fine tune LLM models using various software engineering techniques. 
  • Proven Experience working with Langchain, Llamaindex framework. 
  • Design and implement end-to-end orchestration solutions for AI pipelines, ensuring smooth communication and coordination between various components.
  • Develop connectors and interfaces to establish connectivity between different AI components, including data processing modules, machine learning models, and external APIs.
  • Collaborate with cross-functional teams to integrate and streamline data flows.
  • Implement optimization techniques for AI pipelines, including resource allocation, parallel processing, and load balancing.
  • Continuously assess and enhance the performance of orchestrated systems.
  • Assist in the development of front-end interfaces, such as UIs and API connections, to provide user-friendly access and control over orchestrated processes.
  • Work closely with UX/UI designers to create intuitive and responsive interfaces.
  • Collaborate with data scientists, software engineers, database engineers to understand requirements and provide technical solutions.
  • Communicate effectively with team members and stakeholders throughout the development lifecycle.


Technical skills:


  • Knowledge of Gen AI – Models, Development, Scalability & Deployment
  • Knowledge of containerization technologies (Docker, Kubernetes).
  • Understanding of machine learning concepts and frameworks.
  • Experience with cloud platforms (e.g., AWS, Azure).
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.


 Soft skills:

  • Strong work ethic and desire to produce quality results
  • Consistently and proactively communicates (verbally/written) to stakeholders (progress/roadblocks/etc.)
  • Continuous Improvement mindset and approach to work product
  • Ability to take complex subjects and simplify it to less technical individuals
  • Provides clear documentation of processes, workflows, recommendations, etc.
  • High level of critical thinking capabilities
  • Organized and has the ability to manage work effectively, escalating issues as appropriate
  • Takes initiative & is a self-starter
  • Displays ownership of their work (quality, timeliness)
  • Seeks to become an expert in their field and shares their expertise through recommendations, proactive communications/actions and peer sharing/coaching where relevant
  • Able to communicate with stakeholders directly and independently
  • Good problem solving skills



Candidate Profile:


  • Bachelor’s/Master’s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
  • Outstanding written and verbal communication skills
  • Superior analytical and problem solving skills
  • Experience in working in dual shore engagement is preferred
  • Must have experience in managing clients directly
  • Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
  • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
  • Is able to understand cross cultural differences and can work with clients across the globe

LOCATION: Remote in US or Canada

Job ID# 170238

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