ML/AIWork
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AI Engineer/Sr Engineer

Capgemini · New York, US

Job description

New York, NY, United States (Hybrid) Contract (10 months 5 days) Published 1 hour ago Business Analysis performance analysis performance optimization Microsoft Azure java Python Object - Oriented Programming (OOP) AI Frameworks LLM Platforms* The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be familiar with python development and prompt engineering. The candidate should be able to work with different Clients/SME’s and understand the business requirements proper python code development. Good candidate should be familiar with ongoing monitoring.

  • Contribute to development and maintenance of the python library.
  • Contribute to the support of the library.
  • Participate in prompt engineering.
  • Maintain the prompts and keep them up to date with the new LLM versions.
  • Conduct regular testing and performance analysis.
  • Participate in prompt benchmarking experiments.

Skills Required:

  • Bachelor’s in computer science or related field
  • Years of experience: 5+
  • Hands-on experience in building python applications
  • Excellent Python development skills
  • Excellent architecture design skill for enterprise applications.
  • Knowledge of object-oriented programming and design patterns
  • Knowledge of system resiliency, observability, scalability and performance
  • Experience of Agile development
  • Strong analytical skills and passion for problem-solving
  • Good communication skills

Skills Desired:

  • Experience with Open AI and different LLM models, conduct testing and performance evaluation is required.
  • Experience with Java development
  • Experience with machine learning, vector databases
  • Cloud-based application development preferably using Microsoft Azure Cloud
  • Prior experience in FinTech application development
  • Exposure to working in a global delivery team
  • Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

Skill Area Match level Notes:

  • Real-time GenAI Solutions Strong Chatbot, prompt workflows, OpenAI API
  • AI Agent Development Strong LangChain agents, multi-turn flow
  • Agentic Libraries (LangChain, etc.) Strong FAISS, LangChain, Ollama used extensively
  • Architecture /Design Patterns (RAG) Strong Multiple RAG implementations
  • Frameworks (CrewAI, Semantic Kernel) Partial Not mentioned; probe in interview - Currently checking with him

The pay range that the employer in good faith reasonably expects to pay for this position is $36.98/hour - $57.79/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

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