Greymatter Innovationz
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Direct message the job poster from Greymatter Innovationz
Greymatter Innovationz helps you stay digitally relevant across domains, technologies, and skillsets, every day.
We are looking for:
Location:
New Jersey
Type:
Full-time / Hybrid
Job Summary:
We are seeking a
Gen AI Engineer / Junior Consultant
with hands‑on experience in building, deploying, and optimizing Generative AI solutions. The ideal candidate will possess strong expertise in
LLMs, RAG frameworks, LangChain, and Vector Databases , along with proficiency in
cloud platforms (AWS, GCP, or Azure) . You will be responsible for developing AI‑driven applications, integrating APIs, and enabling intelligent automation using advanced prompt engineering and agentic AI capabilities.
Key Responsibilities
Design, develop, and deploy
Generative AI
applications leveraging
Large Language Models (LLMs)
and
Retrieval‑Augmented Generation (RAG)
frameworks.
Implement
LangChain
pipelines and integrate
Vector Databases
(e.g., FAISS, Pinecone, Chroma, or Milvus) for efficient context retrieval.
Build, test, and optimize AI agents using
Agentic AI
frameworks.
Work with
cloud environments
(AWS / GCP / Azure) to host and scale AI services.
Develop APIs and backend systems using
Python
and
SQL
for data management and interaction with AI services.
Apply
prompt engineering
techniques to enhance model output accuracy and consistency.
Collaborate with cross‑functional teams to design end‑to‑end AI solutions for real‑world business problems.
Stay current with emerging trends in Generative AI and contribute to PoCs and AI model evaluations.
Required Skills & Experience
Strong understanding of
Generative AI ,
LLMs , and
RAG architecture .
Hands‑on experience with
LangChain
and
Vector Databases
(e.g., FAISS, Pinecone, Chroma).
Proficiency in
Python ,
SQL , and developing
RESTful APIs .
Practical experience with at least one
cloud platform
(AWS / GCP / Azure).
Knowledge of
Prompt Engineering
and
Agentic AI frameworks .
Familiarity with data preprocessing, model evaluation, and deployment pipelines.
Excellent problem‑solving skills and the ability to work in a fast‑paced environment.
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
Experience in developing PoCs or production‑grade AI applications.
Familiarity with
OpenAI, Anthropic, Google Vertex AI, or Azure OpenAI APIs .
#J-18808-Ljbffr
Direct message the job poster from Greymatter Innovationz
Greymatter Innovationz helps you stay digitally relevant across domains, technologies, and skillsets, every day.
We are looking for:
Location:
New Jersey
Type:
Full-time / Hybrid
Job Summary:
We are seeking a
Gen AI Engineer / Junior Consultant
with hands‑on experience in building, deploying, and optimizing Generative AI solutions. The ideal candidate will possess strong expertise in
LLMs, RAG frameworks, LangChain, and Vector Databases , along with proficiency in
cloud platforms (AWS, GCP, or Azure) . You will be responsible for developing AI‑driven applications, integrating APIs, and enabling intelligent automation using advanced prompt engineering and agentic AI capabilities.
Key Responsibilities
Design, develop, and deploy
Generative AI
applications leveraging
Large Language Models (LLMs)
and
Retrieval‑Augmented Generation (RAG)
frameworks.
Implement
LangChain
pipelines and integrate
Vector Databases
(e.g., FAISS, Pinecone, Chroma, or Milvus) for efficient context retrieval.
Build, test, and optimize AI agents using
Agentic AI
frameworks.
Work with
cloud environments
(AWS / GCP / Azure) to host and scale AI services.
Develop APIs and backend systems using
Python
and
SQL
for data management and interaction with AI services.
Apply
prompt engineering
techniques to enhance model output accuracy and consistency.
Collaborate with cross‑functional teams to design end‑to‑end AI solutions for real‑world business problems.
Stay current with emerging trends in Generative AI and contribute to PoCs and AI model evaluations.
Required Skills & Experience
Strong understanding of
Generative AI ,
LLMs , and
RAG architecture .
Hands‑on experience with
LangChain
and
Vector Databases
(e.g., FAISS, Pinecone, Chroma).
Proficiency in
Python ,
SQL , and developing
RESTful APIs .
Practical experience with at least one
cloud platform
(AWS / GCP / Azure).
Knowledge of
Prompt Engineering
and
Agentic AI frameworks .
Familiarity with data preprocessing, model evaluation, and deployment pipelines.
Excellent problem‑solving skills and the ability to work in a fast‑paced environment.
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
Experience in developing PoCs or production‑grade AI applications.
Familiarity with
OpenAI, Anthropic, Google Vertex AI, or Azure OpenAI APIs .
#J-18808-Ljbffr