Intellectt Inc
We are seeking an experienced Agentic AI Engineer to design and implement intelligent systems leveraging autonomous agents, LLMs, and advanced Python frameworks. The ideal candidate will have hands‑on experience developing agentic AI solutions that can plan, reason, and act using multi‑agent orchestration and modern AI toolkits.
Key Responsibilities
Design and build
agentic AI frameworks and intelligent workflows using LLMs.
Develop and integrate
Python‑based AI applications
with internal systems and APIs.
Utilize tools such as
LangChain, CrewAI, AutoGen, or OpenDevin
for agent orchestration.
Build AI pipelines that can autonomously perform reasoning, decision‑making, and task execution.
Collaborate with cross‑functional teams to align AI initiatives with business goals.
Optimize AI agents for scalability, performance, and accuracy in production environments.
Stay current with advancements in
LLMs, agentic AI, and generative AI
ecosystems.
Required Skills & Experience
Strong programming skills in
Python
and familiarity with AI/ML frameworks.
Hands‑on experience with
LangChain, AutoGen, CrewAI , or related frameworks.
Knowledge of
OpenAI, Anthropic, or AWS Bedrock APIs .
Experience with
prompt engineering, retrieval‑augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma).
Strong problem‑solving and analytical skills.
Excellent communication and teamwork abilities.
Nice to Have
Experience in
healthcare or insurance domain.
Familiarity with
cloud platforms (AWS, Azure, or GCP)
for deploying AI models.
Exposure to
MLOps or AI agent
lifecycle management.
Seniority Level Mid‑Senior level
Employment Type Contract
Job Function Information Technology
Industries IT Services and IT Consulting
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Key Responsibilities
Design and build
agentic AI frameworks and intelligent workflows using LLMs.
Develop and integrate
Python‑based AI applications
with internal systems and APIs.
Utilize tools such as
LangChain, CrewAI, AutoGen, or OpenDevin
for agent orchestration.
Build AI pipelines that can autonomously perform reasoning, decision‑making, and task execution.
Collaborate with cross‑functional teams to align AI initiatives with business goals.
Optimize AI agents for scalability, performance, and accuracy in production environments.
Stay current with advancements in
LLMs, agentic AI, and generative AI
ecosystems.
Required Skills & Experience
Strong programming skills in
Python
and familiarity with AI/ML frameworks.
Hands‑on experience with
LangChain, AutoGen, CrewAI , or related frameworks.
Knowledge of
OpenAI, Anthropic, or AWS Bedrock APIs .
Experience with
prompt engineering, retrieval‑augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma).
Strong problem‑solving and analytical skills.
Excellent communication and teamwork abilities.
Nice to Have
Experience in
healthcare or insurance domain.
Familiarity with
cloud platforms (AWS, Azure, or GCP)
for deploying AI models.
Exposure to
MLOps or AI agent
lifecycle management.
Seniority Level Mid‑Senior level
Employment Type Contract
Job Function Information Technology
Industries IT Services and IT Consulting
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