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GenAI Engineer (Senior/Lead)--Boston MA (Hybrid) at Boston, Massachusetts, USA
Email: teja.k@humacinc.com
Hello Friends,

I Hope you are doing well.

This is Surya
 from Humac Inc.
, Please check the following job description, and if you are interested, or know someone who might be interested, please share your updated resume to reach you.

Role: GenAI Engineer (Senior/Lead)

Location: Boston MA (Hybrid 3 days to work at client location)

Industry: AI/ML, Enterprise Applications, Healthcare (if applicable)

Overall Experience: 8 to 10 Years

Role Summary: We are 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 API 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, LangChain, CrewAI

Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD

Security & Compliance: OAuth2, JWT, HIPAA

Preferred Qualifications:

8+ years of overall experience with a minimum of 4 years 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.

--

Best Regards,

Sai Surya Teja 

US IT Recruiter
Humac Inc.
P: (623)-748-4074 
E: teja.k@humacinc.com | W:
 www.humacinc.com
LinkedIn: linkedin.com/in/sai-surya-1b22a721b

Phoenix, AZ 85027

Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology Arizona Massachusetts
GenAI Engineer (Senior/Lead)--Boston MA (Hybrid)
teja.k@humacinc.com
https://jobs.nvoids.com/job_details.jsp?id=2199530
teja.k@humacinc.com
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08:22 PM 24-Feb-25


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