AI/ML Engineer
1 day ago
Job Title:
AI/ML Engineer
Experience:
3+ Years
Location:
Mangalore
Employment Type:
Full-time
Job Summary:
We are seeking an experienced
AI/ML Engineer
with a strong background in
Agentic AI development using Python
,
voice communication systems (IVR)
, and
AI guardrail implementation
. The ideal candidate will design, develop, and deploy intelligent agentic systems capable of autonomous reasoning, task orchestration, and secure voice-based interactions.
Key Responsibilities:
- Design, build, and deploy
Agentic AI applications
leveraging
Python
and modern AI frameworks. - Integrate
voice-based communication systems (IVR)
to enable human-AI interaction via speech. - Implement
AI safety mechanisms and guardrails
to ensure responsible AI behavior aligned with organizational and ethical standards. - Fine-tune and optimize
LLMs (Large Language Models)
or
conversational AI systems
for task-specific use cases. - Collaborate with data scientists, backend engineers, and product teams to translate business requirements into scalable AI solutions.
- Evaluate new AI models, frameworks, and toolkits to enhance system performance and reliability.
- Monitor and maintain deployed AI systems, ensuring accuracy, performance, and compliance with internal security guidelines.
Required Skills & Qualifications:
- Bachelor's or Master's degree in
Computer Science, Artificial Intelligence, Data Science, or a related field
. - 3+ years of hands-on experience in
AI/ML engineering
or
conversational AI
development. - Proficient in
Python
and related libraries (e.g., LangChain, OpenAI API, Hugging Face, PyTorch, TensorFlow). - Experience building
Agentic AI frameworks
(autonomous agents, reasoning chains, workflow orchestration). - Strong understanding of
IVR systems
,
speech-to-text
, and
text-to-speech
integration (e.g., Twilio, Google Dialogflow, Amazon Connect). - Demonstrated experience implementing
guardrails
,
AI safety filters
, or
content moderation systems
. - Familiarity with cloud platforms (
AWS, Azure, or GCP
) and containerization tools (Docker, Kubernetes). - Strong problem-solving, debugging, and optimization skills.
Preferred Skills:
- Experience with
RAG (Retrieval-Augmented Generation)
architectures. - Knowledge of
vector databases
(e.g., Pinecone, FAISS, Chroma). - Exposure to
NLP
,
speech recognition
, or
chatbot frameworks
. - Familiarity with
MLOps pipelines
and CI/CD for AI applications.
Why Join Us:
- Opportunity to work on cutting-edge
Agentic AI
systems with real-world applications. - Collaborative, innovative environment with cross-functional teams.
- Exposure to
voice AI
,
autonomous systems
, and
ethical AI design
.
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