

Crown Solutions
GenAI Engineer (Senior/Lead)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Engineer (Senior/Lead) in Boston, US, with a contract length of unspecified duration and a pay rate of "unknown". Requires 8-10 years of experience in AI/ML, LLM integration, and enterprise cloud solutions.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
February 13, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Boston, MA
-
🧠 - Skills detailed
#Scala #Docker #Kubernetes #Python #Agile #Lambda (AWS Lambda) #Automation #Model Evaluation #Security #API (Application Programming Interface) #Microservices #DevOps #AWS Lambda #AI (Artificial Intelligence) #Cloud #AWS (Amazon Web Services) #PyTorch #Langchain #Scrum #Compliance #TensorFlow #Hugging Face #Deployment #ML (Machine Learning) #Azure
Role description
We have an urgent opening for a GenAI Engineer (Senior/Lead) position for one of our clients in Boston, US
Name Of Role: GenAI Engineer (Senior/Lead)
Overall Experience: 8 to 10 Years
Number of Positions in Boston, US
Work Authorisation: Citizen Only
Please find the job description as follows.
Industry: AI/ML, Enterprise Applications, Healthcare (if applicable)
Role Summary:
Seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration.
Key Responsibilities:
✅ AI Application Development – Build and maintain Python-based AI services using LangChain, and CrewAI. Implement RAG-based retrieval and Agentic AI workflows.
✅ LLM Integration & Optimization – Integrate OpenAI, Bard, Claude, Azure OpenAI APIs. Optimize API calls using temperature, top-p, max tokens and reduce hallucinations using embedding-based retrieval (FAISS, Pinecone).
✅ Model Evaluation & Performance Tuning – Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications.
✅ API & Microservices Development – Design scalable RESTful APIs services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting.
✅ Cloud Deployment & Orchestration – Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement LangChain for AI workflow automation.
✅ Agile Development & Innovation – Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases.
Tech Stack & Tools:
🟢 AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone
🟢 LLMs & APIs: OpenAI, Lang Chain, CrewAI
🟢 Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD
🟢 Security & Compliance: OAuth2, JWT, HIPAA
Preferred Qualifications:
✔ 10+ years of Overall experience and minimum 4 years experience in AI/ML, LLM integrations, and enterprise cloud solutions
✔ Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval
✔ Strong knowledge of scalable AI architectures and security best practices
Please share your updated CV with martin@crownsolution.com
We have an urgent opening for a GenAI Engineer (Senior/Lead) position for one of our clients in Boston, US
Name Of Role: GenAI Engineer (Senior/Lead)
Overall Experience: 8 to 10 Years
Number of Positions in Boston, US
Work Authorisation: Citizen Only
Please find the job description as follows.
Industry: AI/ML, Enterprise Applications, Healthcare (if applicable)
Role Summary:
Seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration.
Key Responsibilities:
✅ AI Application Development – Build and maintain Python-based AI services using LangChain, and CrewAI. Implement RAG-based retrieval and Agentic AI workflows.
✅ LLM Integration & Optimization – Integrate OpenAI, Bard, Claude, Azure OpenAI APIs. Optimize API calls using temperature, top-p, max tokens and reduce hallucinations using embedding-based retrieval (FAISS, Pinecone).
✅ Model Evaluation & Performance Tuning – Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications.
✅ API & Microservices Development – Design scalable RESTful APIs services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting.
✅ Cloud Deployment & Orchestration – Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement LangChain for AI workflow automation.
✅ Agile Development & Innovation – Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases.
Tech Stack & Tools:
🟢 AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone
🟢 LLMs & APIs: OpenAI, Lang Chain, CrewAI
🟢 Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD
🟢 Security & Compliance: OAuth2, JWT, HIPAA
Preferred Qualifications:
✔ 10+ years of Overall experience and minimum 4 years experience in AI/ML, LLM integrations, and enterprise cloud solutions
✔ Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval
✔ Strong knowledge of scalable AI architectures and security best practices
Please share your updated CV with martin@crownsolution.com






