Senior GenAI Engineer

Job Title: Senior GenAI Engineer

Job Location: Boston, Massachusetts 02110 (Hybrid role - Likely 2-3 days in the office (TBD))

Onsite Requirements:

• Python
• LLMs
• GenAI

Job Description:

• 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 Lang Chain, and Crew AI. 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 Lang Chain 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, Crew AI
• Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD
• Security & Compliance: OAuth2, JWT, HIPAA
  

Qualifications:

• 10 years of overall experience and a minimum of 4 years' experience in AI/ML, LLM integrations, and enterprise cloud (AWS, Azure, GCP) solutions
• Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval
• Strong knowledge of scalable AI architectures and security best practices
  

Required Tech Skills:

• Python-based AI development experience
• LLM/AI integration experience
• LMM metrics experience
• API, Microservices, Cloud experience
  
  

• ** 3rd party and subcontract staffing agencies are not eligible for partnership in this position. 3rd party subcontractors need not apply.
• This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future. **