
AI Engineer
15 hours ago
Job Title: AI Engineer
Location:
Mumbai (Onsite)
Experience Level:
2-4 years / Mid-level / Entry-level with strong projects
Employment Type:
Full-time
About the Role
We are looking for an innovative and skilled
AI Engineer
to design, develop, and deploy advanced AI solutions leveraging
Generative AI, LLMs, and AI agent frameworks
. The ideal candidate will have hands-on experience in building
AI agents
,
automating workflows
, and integrating
AI/ML pipelines
into production systems.
Key Responsibilities
- Develop AI Agents
using frameworks like
LangChain
or
LangGraph
to automate complex business workflows and improve operational efficiency. - Design and implement
Generative AI assistants
leveraging LLMs such as
GPT, LLaMA
, and other open-source or proprietary models. - Design and expose
AI models as RESTful APIs
using
FastAPI
for seamless integration with applications. - Build, monitor, and optimize AI workflows using tools like
LangSmith
for observability and performance tracking. - Develop, deploy, and maintain
AI/ML pipelines
using tools such as
MLflow
or
Apache Airflow
to ensure scalability and reproducibility. - Collaborate with cross-functional teams to integrate AI solutions into production systems.
- Continuously research and experiment with emerging AI technologies to enhance solution capabilities.
Required Skills & Qualifications
- Strong programming experience
in Python (knowledge of Java is a plus). - Hands-on experience with
AI agent orchestration frameworks
like LangChain or LangGraph. - Proven experience building
GenAI-based assistants
using LLMs (e.g., GPT, LLaMA, Falcon, etc.). - Proficiency in
ML & AI workflow orchestration
tools (MLflow, Airflow). - Familiarity with
AI observability tools
like LangSmith. - Solid understanding of
Machine Learning, Deep Learning, NLP
, and
data pipelines
. - Experience with frameworks and libraries such as
PyTorch, TensorFlow, Hugging Face
. - Knowledge of
version control (Git), APIs, and cloud platforms
(AWS, Azure, or GCP).
Preferred Qualifications
- Exposure to
multimodal AI systems
(text, audio, video). - Experience in
full-stack development
for AI-based applications. - Familiarity with
prompt engineering and fine-tuning LLMs
. - Experience working in
Agile environments
.
Educational Background
- Bachelor's degree in
Computer Science, AI & Data Science, or related field
. Advanced degree is a plus.
What We Offer
- Opportunity to work on cutting-edge
AI/GenAI technologies
. - Collaborative and growth-oriented work environment.
- Competitive salary and benefits package.
- Continuous learning and professional development opportunities.
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